diff --git a/lib/umap-js.js b/lib/umap-js.js
index b10dcb7..30bc435 100644
--- a/lib/umap-js.js
+++ b/lib/umap-js.js
@@ -91,7 +91,7 @@ return /******/ (function(modules) { // webpackBootstrap
 /******/
 /******/
 /******/ 	// Load entry module and return exports
-/******/ 	return __webpack_require__(__webpack_require__.s = 5);
+/******/ 	return __webpack_require__(__webpack_require__.s = 4);
 /******/ })
 /************************************************************************/
 /******/ ([
@@ -100,22 +100,6 @@ return /******/ (function(modules) { // webpackBootstrap
 
 "use strict";
 
-
-const toString = Object.prototype.toString;
-
-function isAnyArray(object) {
-  return toString.call(object).endsWith('Array]');
-}
-
-module.exports = isAnyArray;
-
-
-/***/ }),
-/* 1 */
-/***/ (function(module, exports, __webpack_require__) {
-
-"use strict";
-
 var __values = (this && this.__values) || function(o) {
     var s = typeof Symbol === "function" && Symbol.iterator, m = s && o[s], i = 0;
     if (m) return m.call(o);
@@ -256,7 +240,7 @@ exports.reshape2d = reshape2d;
 
 
 /***/ }),
-/* 2 */
+/* 1 */
 /***/ (function(module, exports, __webpack_require__) {
 
 "use strict";
@@ -282,7 +266,7 @@ var __importStar = (this && this.__importStar) || function (mod) {
 };
 Object.defineProperty(exports, "__esModule", { value: true });
 exports.smallestFlagged = exports.deheapSort = exports.buildCandidates = exports.uncheckedHeapPush = exports.heapPush = exports.rejectionSample = exports.makeHeap = void 0;
-var utils = __importStar(__webpack_require__(1));
+var utils = __importStar(__webpack_require__(0));
 function makeHeap(nPoints, size) {
     var makeArrays = function (fillValue) {
         return utils.empty(nPoints).map(function () {
@@ -476,7 +460,7 @@ exports.smallestFlagged = smallestFlagged;
 
 
 /***/ }),
-/* 3 */
+/* 2 */
 /***/ (function(module, exports, __webpack_require__) {
 
 "use strict";
@@ -530,7 +514,7 @@ var __values = (this && this.__values) || function(o) {
 var _a;
 Object.defineProperty(exports, "__esModule", { value: true });
 exports.getCSR = exports.normalize = exports.eliminateZeros = exports.multiplyScalar = exports.maximum = exports.subtract = exports.add = exports.pairwiseMultiply = exports.identity = exports.transpose = exports.SparseMatrix = void 0;
-var utils = __importStar(__webpack_require__(1));
+var utils = __importStar(__webpack_require__(0));
 var SparseMatrix = (function () {
     function SparseMatrix(rows, cols, values, dims) {
         this.entries = new Map();
@@ -829,7 +813,7 @@ exports.getCSR = getCSR;
 
 
 /***/ }),
-/* 4 */
+/* 3 */
 /***/ (function(module, exports, __webpack_require__) {
 
 "use strict";
@@ -886,7 +870,7 @@ var __values = (this && this.__values) || function(o) {
 };
 Object.defineProperty(exports, "__esModule", { value: true });
 exports.searchFlatTree = exports.makeLeafArray = exports.makeForest = exports.FlatTree = void 0;
-var utils = __importStar(__webpack_require__(1));
+var utils = __importStar(__webpack_require__(0));
 var FlatTree = (function () {
     function FlatTree(hyperplanes, offsets, children, indices) {
         this.hyperplanes = hyperplanes;
@@ -1098,18 +1082,18 @@ exports.searchFlatTree = searchFlatTree;
 
 
 /***/ }),
-/* 5 */
+/* 4 */
 /***/ (function(module, exports, __webpack_require__) {
 
 "use strict";
 
 Object.defineProperty(exports, "__esModule", { value: true });
-var umap_1 = __webpack_require__(6);
+var umap_1 = __webpack_require__(5);
 Object.defineProperty(exports, "UMAP", { enumerable: true, get: function () { return umap_1.UMAP; } });
 
 
 /***/ }),
-/* 6 */
+/* 5 */
 /***/ (function(module, exports, __webpack_require__) {
 
 "use strict";
@@ -1194,12 +1178,12 @@ var __importDefault = (this && this.__importDefault) || function (mod) {
 };
 Object.defineProperty(exports, "__esModule", { value: true });
 exports.initTransform = exports.resetLocalConnectivity = exports.fastIntersection = exports.findABParams = exports.cosine = exports.euclidean = exports.UMAP = void 0;
-var heap = __importStar(__webpack_require__(2));
-var matrix = __importStar(__webpack_require__(3));
-var nnDescent = __importStar(__webpack_require__(7));
-var tree = __importStar(__webpack_require__(4));
-var utils = __importStar(__webpack_require__(1));
-var ml_levenberg_marquardt_1 = __importDefault(__webpack_require__(8));
+var heap = __importStar(__webpack_require__(1));
+var matrix = __importStar(__webpack_require__(2));
+var nnDescent = __importStar(__webpack_require__(6));
+var tree = __importStar(__webpack_require__(3));
+var utils = __importStar(__webpack_require__(0));
+var ml_levenberg_marquardt_1 = __importDefault(__webpack_require__(7));
 var SMOOTH_K_TOLERANCE = 1e-5;
 var MIN_K_DIST_SCALE = 1e-3;
 var UMAP = (function () {
@@ -1881,7 +1865,7 @@ exports.initTransform = initTransform;
 
 
 /***/ }),
-/* 7 */
+/* 6 */
 /***/ (function(module, exports, __webpack_require__) {
 
 "use strict";
@@ -1918,10 +1902,10 @@ var __values = (this && this.__values) || function(o) {
 };
 Object.defineProperty(exports, "__esModule", { value: true });
 exports.initializeSearch = exports.makeInitializedNNSearch = exports.makeInitializations = exports.makeNNDescent = void 0;
-var heap = __importStar(__webpack_require__(2));
-var matrix = __importStar(__webpack_require__(3));
-var tree = __importStar(__webpack_require__(4));
-var utils = __importStar(__webpack_require__(1));
+var heap = __importStar(__webpack_require__(1));
+var matrix = __importStar(__webpack_require__(2));
+var tree = __importStar(__webpack_require__(3));
+var utils = __importStar(__webpack_require__(0));
 function makeNNDescent(distanceFn, random) {
     return function nNDescent(data, leafArray, nNeighbors, nIters, maxCandidates, delta, rho, rpTreeInit) {
         if (nIters === void 0) { nIters = 10; }
@@ -2079,12 +2063,19 @@ exports.initializeSearch = initializeSearch;
 
 
 /***/ }),
-/* 8 */
+/* 7 */
 /***/ (function(module, __webpack_exports__, __webpack_require__) {
 
 "use strict";
 __webpack_require__.r(__webpack_exports__);
 
+// CONCATENATED MODULE: ./node_modules/is-any-array/src/index.js
+const src_toString = Object.prototype.toString;
+
+function isAnyArray(object) {
+  return src_toString.call(object).endsWith('Array]');
+}
+
 // CONCATENATED MODULE: ./node_modules/ml-levenberg-marquardt/src/errorCalculation.js
 /**
  * Calculate current error
@@ -2097,33 +2088,39 @@ __webpack_require__.r(__webpack_exports__);
 function errorCalculation(
   data,
   parameters,
-  parameterizedFunction
+  parameterizedFunction,
 ) {
-  var error = 0;
+  let error = 0;
   const func = parameterizedFunction(parameters);
 
-  for (var i = 0; i < data.x.length; i++) {
+  for (let i = 0; i < data.x.length; i++) {
     error += Math.abs(data.y[i] - func(data.x[i]));
   }
 
   return error;
 }
 
-// EXTERNAL MODULE: ./node_modules/is-any-array/src/index.js
-var src = __webpack_require__(0);
-var src_default = /*#__PURE__*/__webpack_require__.n(src);
+// CONCATENATED MODULE: ./node_modules/ml-array-rescale/node_modules/is-any-array/src/index.js
+const is_any_array_src_toString = Object.prototype.toString;
+
+function src_isAnyArray(object) {
+  return is_any_array_src_toString.call(object).endsWith('Array]');
+}
 
-// CONCATENATED MODULE: ./node_modules/ml-array-max/lib-es6/index.js
+// CONCATENATED MODULE: ./node_modules/ml-array-max/node_modules/is-any-array/src/index.js
+const node_modules_is_any_array_src_toString = Object.prototype.toString;
+
+function is_any_array_src_isAnyArray(object) {
+  return node_modules_is_any_array_src_toString.call(object).endsWith('Array]');
+}
 
+// CONCATENATED MODULE: ./node_modules/ml-array-max/lib-es6/index.js
 
-/**
- * Computes the maximum of the given values
- * @param {Array<number>} input
- * @return {number}
- */
 
 function lib_es6_max(input) {
-  if (!src_default()(input)) {
+  var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
+
+  if (!is_any_array_src_isAnyArray(input)) {
     throw new TypeError('input must be an array');
   }
 
@@ -2131,9 +2128,22 @@ function lib_es6_max(input) {
     throw new TypeError('input must not be empty');
   }
 
-  var maxValue = input[0];
+  var _options$fromIndex = options.fromIndex,
+      fromIndex = _options$fromIndex === void 0 ? 0 : _options$fromIndex,
+      _options$toIndex = options.toIndex,
+      toIndex = _options$toIndex === void 0 ? input.length : _options$toIndex;
+
+  if (fromIndex < 0 || fromIndex >= input.length || !Number.isInteger(fromIndex)) {
+    throw new Error('fromIndex must be a positive integer smaller than length');
+  }
+
+  if (toIndex <= fromIndex || toIndex > input.length || !Number.isInteger(toIndex)) {
+    throw new Error('toIndex must be an integer greater than fromIndex and at most equal to length');
+  }
+
+  var maxValue = input[fromIndex];
 
-  for (var i = 1; i < input.length; i++) {
+  for (var i = fromIndex + 1; i < toIndex; i++) {
     if (input[i] > maxValue) maxValue = input[i];
   }
 
@@ -2142,17 +2152,20 @@ function lib_es6_max(input) {
 
 /* harmony default export */ var lib_es6 = (lib_es6_max);
 
-// CONCATENATED MODULE: ./node_modules/ml-array-min/lib-es6/index.js
+// CONCATENATED MODULE: ./node_modules/ml-array-min/node_modules/is-any-array/src/index.js
+const ml_array_min_node_modules_is_any_array_src_toString = Object.prototype.toString;
+
+function node_modules_is_any_array_src_isAnyArray(object) {
+  return ml_array_min_node_modules_is_any_array_src_toString.call(object).endsWith('Array]');
+}
 
+// CONCATENATED MODULE: ./node_modules/ml-array-min/lib-es6/index.js
 
-/**
- * Computes the minimum of the given values
- * @param {Array<number>} input
- * @return {number}
- */
 
 function lib_es6_min(input) {
-  if (!src_default()(input)) {
+  var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
+
+  if (!node_modules_is_any_array_src_isAnyArray(input)) {
     throw new TypeError('input must be an array');
   }
 
@@ -2160,9 +2173,22 @@ function lib_es6_min(input) {
     throw new TypeError('input must not be empty');
   }
 
-  var minValue = input[0];
+  var _options$fromIndex = options.fromIndex,
+      fromIndex = _options$fromIndex === void 0 ? 0 : _options$fromIndex,
+      _options$toIndex = options.toIndex,
+      toIndex = _options$toIndex === void 0 ? input.length : _options$toIndex;
+
+  if (fromIndex < 0 || fromIndex >= input.length || !Number.isInteger(fromIndex)) {
+    throw new Error('fromIndex must be a positive integer smaller than length');
+  }
+
+  if (toIndex <= fromIndex || toIndex > input.length || !Number.isInteger(toIndex)) {
+    throw new Error('toIndex must be an integer greater than fromIndex and at most equal to length');
+  }
+
+  var minValue = input[fromIndex];
 
-  for (var i = 1; i < input.length; i++) {
+  for (var i = fromIndex + 1; i < toIndex; i++) {
     if (input[i] < minValue) minValue = input[i];
   }
 
@@ -2179,7 +2205,7 @@ function lib_es6_min(input) {
 function rescale(input) {
   var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
 
-  if (!src_default()(input)) {
+  if (!src_isAnyArray(input)) {
     throw new TypeError('input must be an array');
   } else if (input.length === 0) {
     throw new TypeError('input must not be empty');
@@ -2188,7 +2214,7 @@ function rescale(input) {
   var output;
 
   if (options.output !== undefined) {
-    if (!src_default()(options.output)) {
+    if (!src_isAnyArray(options.output)) {
       throw new TypeError('output option must be an array if specified');
     }
 
@@ -2224,505 +2250,146 @@ function rescale(input) {
 
 /* harmony default export */ var ml_array_rescale_lib_es6 = (rescale);
 
-// CONCATENATED MODULE: ./node_modules/ml-matrix/src/util.js
-/**
- * @private
- * Check that a row index is not out of bounds
- * @param {Matrix} matrix
- * @param {number} index
- * @param {boolean} [outer]
- */
-function checkRowIndex(matrix, index, outer) {
-  let max = outer ? matrix.rows : matrix.rows - 1;
-  if (index < 0 || index > max) {
-    throw new RangeError('Row index out of range');
-  }
+// CONCATENATED MODULE: ./node_modules/ml-matrix/src/inspect.js
+const indent = ' '.repeat(2);
+const indentData = ' '.repeat(4);
+
+function inspectMatrix() {
+  return inspectMatrixWithOptions(this);
 }
 
-/**
- * @private
- * Check that a column index is not out of bounds
- * @param {Matrix} matrix
- * @param {number} index
- * @param {boolean} [outer]
- */
-function checkColumnIndex(matrix, index, outer) {
-  let max = outer ? matrix.columns : matrix.columns - 1;
-  if (index < 0 || index > max) {
-    throw new RangeError('Column index out of range');
-  }
+function inspectMatrixWithOptions(matrix, options = {}) {
+  const { maxRows = 15, maxColumns = 10, maxNumSize = 8 } = options;
+  return `${matrix.constructor.name} {
+${indent}[
+${indentData}${inspectData(matrix, maxRows, maxColumns, maxNumSize)}
+${indent}]
+${indent}rows: ${matrix.rows}
+${indent}columns: ${matrix.columns}
+}`;
 }
 
-/**
- * @private
- * Check that the provided vector is an array with the right length
- * @param {Matrix} matrix
- * @param {Array|Matrix} vector
- * @return {Array}
- * @throws {RangeError}
- */
-function checkRowVector(matrix, vector) {
-  if (vector.to1DArray) {
-    vector = vector.to1DArray();
+function inspectData(matrix, maxRows, maxColumns, maxNumSize) {
+  const { rows, columns } = matrix;
+  const maxI = Math.min(rows, maxRows);
+  const maxJ = Math.min(columns, maxColumns);
+  const result = [];
+  for (let i = 0; i < maxI; i++) {
+    let line = [];
+    for (let j = 0; j < maxJ; j++) {
+      line.push(formatNumber(matrix.get(i, j), maxNumSize));
+    }
+    result.push(`${line.join(' ')}`);
   }
-  if (vector.length !== matrix.columns) {
-    throw new RangeError(
-      'vector size must be the same as the number of columns',
-    );
+  if (maxJ !== columns) {
+    result[result.length - 1] += ` ... ${columns - maxColumns} more columns`;
   }
-  return vector;
+  if (maxI !== rows) {
+    result.push(`... ${rows - maxRows} more rows`);
+  }
+  return result.join(`\n${indentData}`);
 }
 
-/**
- * @private
- * Check that the provided vector is an array with the right length
- * @param {Matrix} matrix
- * @param {Array|Matrix} vector
- * @return {Array}
- * @throws {RangeError}
- */
-function checkColumnVector(matrix, vector) {
-  if (vector.to1DArray) {
-    vector = vector.to1DArray();
+function formatNumber(num, maxNumSize) {
+  const numStr = String(num);
+  if (numStr.length <= maxNumSize) {
+    return numStr.padEnd(maxNumSize, ' ');
   }
-  if (vector.length !== matrix.rows) {
-    throw new RangeError('vector size must be the same as the number of rows');
+  const precise = num.toPrecision(maxNumSize - 2);
+  if (precise.length <= maxNumSize) {
+    return precise;
   }
-  return vector;
+  const exponential = num.toExponential(maxNumSize - 2);
+  const eIndex = exponential.indexOf('e');
+  const e = exponential.slice(eIndex);
+  return exponential.slice(0, maxNumSize - e.length) + e;
 }
 
-function checkIndices(matrix, rowIndices, columnIndices) {
-  return {
-    row: checkRowIndices(matrix, rowIndices),
-    column: checkColumnIndices(matrix, columnIndices),
+// CONCATENATED MODULE: ./node_modules/ml-matrix/src/mathOperations.js
+function installMathOperations(AbstractMatrix, Matrix) {
+  AbstractMatrix.prototype.add = function add(value) {
+    if (typeof value === 'number') return this.addS(value);
+    return this.addM(value);
   };
-}
 
-function checkRowIndices(matrix, rowIndices) {
-  if (typeof rowIndices !== 'object') {
-    throw new TypeError('unexpected type for row indices');
-  }
+  AbstractMatrix.prototype.addS = function addS(value) {
+    for (let i = 0; i < this.rows; i++) {
+      for (let j = 0; j < this.columns; j++) {
+        this.set(i, j, this.get(i, j) + value);
+      }
+    }
+    return this;
+  };
 
-  let rowOut = rowIndices.some((r) => {
-    return r < 0 || r >= matrix.rows;
-  });
+  AbstractMatrix.prototype.addM = function addM(matrix) {
+    matrix = Matrix.checkMatrix(matrix);
+    if (this.rows !== matrix.rows ||
+      this.columns !== matrix.columns) {
+      throw new RangeError('Matrices dimensions must be equal');
+    }
+    for (let i = 0; i < this.rows; i++) {
+      for (let j = 0; j < this.columns; j++) {
+        this.set(i, j, this.get(i, j) + matrix.get(i, j));
+      }
+    }
+    return this;
+  };
 
-  if (rowOut) {
-    throw new RangeError('row indices are out of range');
-  }
+  AbstractMatrix.add = function add(matrix, value) {
+    const newMatrix = new Matrix(matrix);
+    return newMatrix.add(value);
+  };
 
-  if (!Array.isArray(rowIndices)) rowIndices = Array.from(rowIndices);
+  AbstractMatrix.prototype.sub = function sub(value) {
+    if (typeof value === 'number') return this.subS(value);
+    return this.subM(value);
+  };
 
-  return rowIndices;
-}
+  AbstractMatrix.prototype.subS = function subS(value) {
+    for (let i = 0; i < this.rows; i++) {
+      for (let j = 0; j < this.columns; j++) {
+        this.set(i, j, this.get(i, j) - value);
+      }
+    }
+    return this;
+  };
 
-function checkColumnIndices(matrix, columnIndices) {
-  if (typeof columnIndices !== 'object') {
-    throw new TypeError('unexpected type for column indices');
-  }
+  AbstractMatrix.prototype.subM = function subM(matrix) {
+    matrix = Matrix.checkMatrix(matrix);
+    if (this.rows !== matrix.rows ||
+      this.columns !== matrix.columns) {
+      throw new RangeError('Matrices dimensions must be equal');
+    }
+    for (let i = 0; i < this.rows; i++) {
+      for (let j = 0; j < this.columns; j++) {
+        this.set(i, j, this.get(i, j) - matrix.get(i, j));
+      }
+    }
+    return this;
+  };
 
-  let columnOut = columnIndices.some((c) => {
-    return c < 0 || c >= matrix.columns;
-  });
+  AbstractMatrix.sub = function sub(matrix, value) {
+    const newMatrix = new Matrix(matrix);
+    return newMatrix.sub(value);
+  };
+  AbstractMatrix.prototype.subtract = AbstractMatrix.prototype.sub;
+  AbstractMatrix.prototype.subtractS = AbstractMatrix.prototype.subS;
+  AbstractMatrix.prototype.subtractM = AbstractMatrix.prototype.subM;
+  AbstractMatrix.subtract = AbstractMatrix.sub;
 
-  if (columnOut) {
-    throw new RangeError('column indices are out of range');
-  }
-  if (!Array.isArray(columnIndices)) columnIndices = Array.from(columnIndices);
+  AbstractMatrix.prototype.mul = function mul(value) {
+    if (typeof value === 'number') return this.mulS(value);
+    return this.mulM(value);
+  };
 
-  return columnIndices;
-}
-
-function checkRange(matrix, startRow, endRow, startColumn, endColumn) {
-  if (arguments.length !== 5) {
-    throw new RangeError('expected 4 arguments');
-  }
-  checkNumber('startRow', startRow);
-  checkNumber('endRow', endRow);
-  checkNumber('startColumn', startColumn);
-  checkNumber('endColumn', endColumn);
-  if (
-    startRow > endRow ||
-    startColumn > endColumn ||
-    startRow < 0 ||
-    startRow >= matrix.rows ||
-    endRow < 0 ||
-    endRow >= matrix.rows ||
-    startColumn < 0 ||
-    startColumn >= matrix.columns ||
-    endColumn < 0 ||
-    endColumn >= matrix.columns
-  ) {
-    throw new RangeError('Submatrix indices are out of range');
-  }
-}
-
-function newArray(length, value = 0) {
-  let array = [];
-  for (let i = 0; i < length; i++) {
-    array.push(value);
-  }
-  return array;
-}
-
-function checkNumber(name, value) {
-  if (typeof value !== 'number') {
-    throw new TypeError(`${name} must be a number`);
-  }
-}
-
-// CONCATENATED MODULE: ./node_modules/ml-matrix/src/stat.js
-
-
-function sumByRow(matrix) {
-  let sum = newArray(matrix.rows);
-  for (let i = 0; i < matrix.rows; ++i) {
-    for (let j = 0; j < matrix.columns; ++j) {
-      sum[i] += matrix.get(i, j);
-    }
-  }
-  return sum;
-}
-
-function sumByColumn(matrix) {
-  let sum = newArray(matrix.columns);
-  for (let i = 0; i < matrix.rows; ++i) {
-    for (let j = 0; j < matrix.columns; ++j) {
-      sum[j] += matrix.get(i, j);
-    }
-  }
-  return sum;
-}
-
-function sumAll(matrix) {
-  let v = 0;
-  for (let i = 0; i < matrix.rows; i++) {
-    for (let j = 0; j < matrix.columns; j++) {
-      v += matrix.get(i, j);
-    }
-  }
-  return v;
-}
-
-function productByRow(matrix) {
-  let sum = newArray(matrix.rows, 1);
-  for (let i = 0; i < matrix.rows; ++i) {
-    for (let j = 0; j < matrix.columns; ++j) {
-      sum[i] *= matrix.get(i, j);
-    }
-  }
-  return sum;
-}
-
-function productByColumn(matrix) {
-  let sum = newArray(matrix.columns, 1);
-  for (let i = 0; i < matrix.rows; ++i) {
-    for (let j = 0; j < matrix.columns; ++j) {
-      sum[j] *= matrix.get(i, j);
-    }
-  }
-  return sum;
-}
-
-function productAll(matrix) {
-  let v = 1;
-  for (let i = 0; i < matrix.rows; i++) {
-    for (let j = 0; j < matrix.columns; j++) {
-      v *= matrix.get(i, j);
-    }
-  }
-  return v;
-}
-
-function varianceByRow(matrix, unbiased, mean) {
-  const rows = matrix.rows;
-  const cols = matrix.columns;
-  const variance = [];
-
-  for (let i = 0; i < rows; i++) {
-    let sum1 = 0;
-    let sum2 = 0;
-    let x = 0;
-    for (let j = 0; j < cols; j++) {
-      x = matrix.get(i, j) - mean[i];
-      sum1 += x;
-      sum2 += x * x;
-    }
-    if (unbiased) {
-      variance.push((sum2 - (sum1 * sum1) / cols) / (cols - 1));
-    } else {
-      variance.push((sum2 - (sum1 * sum1) / cols) / cols);
-    }
-  }
-  return variance;
-}
-
-function varianceByColumn(matrix, unbiased, mean) {
-  const rows = matrix.rows;
-  const cols = matrix.columns;
-  const variance = [];
-
-  for (let j = 0; j < cols; j++) {
-    let sum1 = 0;
-    let sum2 = 0;
-    let x = 0;
-    for (let i = 0; i < rows; i++) {
-      x = matrix.get(i, j) - mean[j];
-      sum1 += x;
-      sum2 += x * x;
-    }
-    if (unbiased) {
-      variance.push((sum2 - (sum1 * sum1) / rows) / (rows - 1));
-    } else {
-      variance.push((sum2 - (sum1 * sum1) / rows) / rows);
-    }
-  }
-  return variance;
-}
-
-function varianceAll(matrix, unbiased, mean) {
-  const rows = matrix.rows;
-  const cols = matrix.columns;
-  const size = rows * cols;
-
-  let sum1 = 0;
-  let sum2 = 0;
-  let x = 0;
-  for (let i = 0; i < rows; i++) {
-    for (let j = 0; j < cols; j++) {
-      x = matrix.get(i, j) - mean;
-      sum1 += x;
-      sum2 += x * x;
-    }
-  }
-  if (unbiased) {
-    return (sum2 - (sum1 * sum1) / size) / (size - 1);
-  } else {
-    return (sum2 - (sum1 * sum1) / size) / size;
-  }
-}
-
-function centerByRow(matrix, mean) {
-  for (let i = 0; i < matrix.rows; i++) {
-    for (let j = 0; j < matrix.columns; j++) {
-      matrix.set(i, j, matrix.get(i, j) - mean[i]);
-    }
-  }
-}
-
-function centerByColumn(matrix, mean) {
-  for (let i = 0; i < matrix.rows; i++) {
-    for (let j = 0; j < matrix.columns; j++) {
-      matrix.set(i, j, matrix.get(i, j) - mean[j]);
-    }
-  }
-}
-
-function centerAll(matrix, mean) {
-  for (let i = 0; i < matrix.rows; i++) {
-    for (let j = 0; j < matrix.columns; j++) {
-      matrix.set(i, j, matrix.get(i, j) - mean);
-    }
-  }
-}
-
-function getScaleByRow(matrix) {
-  const scale = [];
-  for (let i = 0; i < matrix.rows; i++) {
-    let sum = 0;
-    for (let j = 0; j < matrix.columns; j++) {
-      sum += Math.pow(matrix.get(i, j), 2) / (matrix.columns - 1);
-    }
-    scale.push(Math.sqrt(sum));
-  }
-  return scale;
-}
-
-function scaleByRow(matrix, scale) {
-  for (let i = 0; i < matrix.rows; i++) {
-    for (let j = 0; j < matrix.columns; j++) {
-      matrix.set(i, j, matrix.get(i, j) / scale[i]);
-    }
-  }
-}
-
-function getScaleByColumn(matrix) {
-  const scale = [];
-  for (let j = 0; j < matrix.columns; j++) {
-    let sum = 0;
-    for (let i = 0; i < matrix.rows; i++) {
-      sum += Math.pow(matrix.get(i, j), 2) / (matrix.rows - 1);
-    }
-    scale.push(Math.sqrt(sum));
-  }
-  return scale;
-}
-
-function scaleByColumn(matrix, scale) {
-  for (let i = 0; i < matrix.rows; i++) {
-    for (let j = 0; j < matrix.columns; j++) {
-      matrix.set(i, j, matrix.get(i, j) / scale[j]);
-    }
-  }
-}
-
-function getScaleAll(matrix) {
-  const divider = matrix.size - 1;
-  let sum = 0;
-  for (let j = 0; j < matrix.columns; j++) {
-    for (let i = 0; i < matrix.rows; i++) {
-      sum += Math.pow(matrix.get(i, j), 2) / divider;
-    }
-  }
-  return Math.sqrt(sum);
-}
-
-function scaleAll(matrix, scale) {
-  for (let i = 0; i < matrix.rows; i++) {
-    for (let j = 0; j < matrix.columns; j++) {
-      matrix.set(i, j, matrix.get(i, j) / scale);
-    }
-  }
-}
-
-// CONCATENATED MODULE: ./node_modules/ml-matrix/src/inspect.js
-function inspectMatrix() {
-  const indent = ' '.repeat(2);
-  const indentData = ' '.repeat(4);
-  return `${this.constructor.name} {
-${indent}[
-${indentData}${inspectData(this, indentData)}
-${indent}]
-${indent}rows: ${this.rows}
-${indent}columns: ${this.columns}
-}`;
-}
-
-const maxRows = 15;
-const maxColumns = 10;
-const maxNumSize = 8;
-
-function inspectData(matrix, indent) {
-  const { rows, columns } = matrix;
-  const maxI = Math.min(rows, maxRows);
-  const maxJ = Math.min(columns, maxColumns);
-  const result = [];
-  for (let i = 0; i < maxI; i++) {
-    let line = [];
-    for (let j = 0; j < maxJ; j++) {
-      line.push(formatNumber(matrix.get(i, j)));
-    }
-    result.push(`${line.join(' ')}`);
-  }
-  if (maxJ !== columns) {
-    result[result.length - 1] += ` ... ${columns - maxColumns} more columns`;
-  }
-  if (maxI !== rows) {
-    result.push(`... ${rows - maxRows} more rows`);
-  }
-  return result.join(`\n${indent}`);
-}
-
-function formatNumber(num) {
-  const numStr = String(num);
-  if (numStr.length <= maxNumSize) {
-    return numStr.padEnd(maxNumSize, ' ');
-  }
-  const precise = num.toPrecision(maxNumSize - 2);
-  if (precise.length <= maxNumSize) {
-    return precise;
-  }
-  const exponential = num.toExponential(maxNumSize - 2);
-  const eIndex = exponential.indexOf('e');
-  const e = exponential.substring(eIndex);
-  return exponential.substring(0, maxNumSize - e.length) + e;
-}
-
-// CONCATENATED MODULE: ./node_modules/ml-matrix/src/mathOperations.js
-function installMathOperations(AbstractMatrix, Matrix) {
-  AbstractMatrix.prototype.add = function add(value) {
-    if (typeof value === 'number') return this.addS(value);
-    return this.addM(value);
-  };
-
-  AbstractMatrix.prototype.addS = function addS(value) {
-    for (let i = 0; i < this.rows; i++) {
-      for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, this.get(i, j) + value);
-      }
-    }
-    return this;
-  };
-
-  AbstractMatrix.prototype.addM = function addM(matrix) {
-    matrix = Matrix.checkMatrix(matrix);
-    if (this.rows !== matrix.rows ||
-      this.columns !== matrix.columns) {
-      throw new RangeError('Matrices dimensions must be equal');
-    }
-    for (let i = 0; i < this.rows; i++) {
-      for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, this.get(i, j) + matrix.get(i, j));
-      }
-    }
-    return this;
-  };
-
-  AbstractMatrix.add = function add(matrix, value) {
-    const newMatrix = new Matrix(matrix);
-    return newMatrix.add(value);
-  };
-
-  AbstractMatrix.prototype.sub = function sub(value) {
-    if (typeof value === 'number') return this.subS(value);
-    return this.subM(value);
-  };
-
-  AbstractMatrix.prototype.subS = function subS(value) {
-    for (let i = 0; i < this.rows; i++) {
-      for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, this.get(i, j) - value);
-      }
-    }
-    return this;
-  };
-
-  AbstractMatrix.prototype.subM = function subM(matrix) {
-    matrix = Matrix.checkMatrix(matrix);
-    if (this.rows !== matrix.rows ||
-      this.columns !== matrix.columns) {
-      throw new RangeError('Matrices dimensions must be equal');
-    }
-    for (let i = 0; i < this.rows; i++) {
-      for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, this.get(i, j) - matrix.get(i, j));
-      }
-    }
-    return this;
-  };
-
-  AbstractMatrix.sub = function sub(matrix, value) {
-    const newMatrix = new Matrix(matrix);
-    return newMatrix.sub(value);
-  };
-  AbstractMatrix.prototype.subtract = AbstractMatrix.prototype.sub;
-  AbstractMatrix.prototype.subtractS = AbstractMatrix.prototype.subS;
-  AbstractMatrix.prototype.subtractM = AbstractMatrix.prototype.subM;
-  AbstractMatrix.subtract = AbstractMatrix.sub;
-
-  AbstractMatrix.prototype.mul = function mul(value) {
-    if (typeof value === 'number') return this.mulS(value);
-    return this.mulM(value);
-  };
-
-  AbstractMatrix.prototype.mulS = function mulS(value) {
-    for (let i = 0; i < this.rows; i++) {
-      for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, this.get(i, j) * value);
-      }
-    }
-    return this;
-  };
+  AbstractMatrix.prototype.mulS = function mulS(value) {
+    for (let i = 0; i < this.rows; i++) {
+      for (let j = 0; j < this.columns; j++) {
+        this.set(i, j, this.get(i, j) * value);
+      }
+    }
+    return this;
+  };
 
   AbstractMatrix.prototype.mulM = function mulM(matrix) {
     matrix = Matrix.checkMatrix(matrix);
@@ -3284,183 +2951,550 @@ function installMathOperations(AbstractMatrix, Matrix) {
     return this;
   };
 
-  AbstractMatrix.log1p = function log1p(matrix) {
+  AbstractMatrix.log1p = function log1p(matrix) {
+    const newMatrix = new Matrix(matrix);
+    return newMatrix.log1p();
+  };
+
+  AbstractMatrix.prototype.log10 = function log10() {
+    for (let i = 0; i < this.rows; i++) {
+      for (let j = 0; j < this.columns; j++) {
+        this.set(i, j, Math.log10(this.get(i, j)));
+      }
+    }
+    return this;
+  };
+
+  AbstractMatrix.log10 = function log10(matrix) {
+    const newMatrix = new Matrix(matrix);
+    return newMatrix.log10();
+  };
+
+  AbstractMatrix.prototype.log2 = function log2() {
+    for (let i = 0; i < this.rows; i++) {
+      for (let j = 0; j < this.columns; j++) {
+        this.set(i, j, Math.log2(this.get(i, j)));
+      }
+    }
+    return this;
+  };
+
+  AbstractMatrix.log2 = function log2(matrix) {
+    const newMatrix = new Matrix(matrix);
+    return newMatrix.log2();
+  };
+
+  AbstractMatrix.prototype.round = function round() {
+    for (let i = 0; i < this.rows; i++) {
+      for (let j = 0; j < this.columns; j++) {
+        this.set(i, j, Math.round(this.get(i, j)));
+      }
+    }
+    return this;
+  };
+
+  AbstractMatrix.round = function round(matrix) {
+    const newMatrix = new Matrix(matrix);
+    return newMatrix.round();
+  };
+
+  AbstractMatrix.prototype.sign = function sign() {
+    for (let i = 0; i < this.rows; i++) {
+      for (let j = 0; j < this.columns; j++) {
+        this.set(i, j, Math.sign(this.get(i, j)));
+      }
+    }
+    return this;
+  };
+
+  AbstractMatrix.sign = function sign(matrix) {
+    const newMatrix = new Matrix(matrix);
+    return newMatrix.sign();
+  };
+
+  AbstractMatrix.prototype.sin = function sin() {
+    for (let i = 0; i < this.rows; i++) {
+      for (let j = 0; j < this.columns; j++) {
+        this.set(i, j, Math.sin(this.get(i, j)));
+      }
+    }
+    return this;
+  };
+
+  AbstractMatrix.sin = function sin(matrix) {
+    const newMatrix = new Matrix(matrix);
+    return newMatrix.sin();
+  };
+
+  AbstractMatrix.prototype.sinh = function sinh() {
+    for (let i = 0; i < this.rows; i++) {
+      for (let j = 0; j < this.columns; j++) {
+        this.set(i, j, Math.sinh(this.get(i, j)));
+      }
+    }
+    return this;
+  };
+
+  AbstractMatrix.sinh = function sinh(matrix) {
+    const newMatrix = new Matrix(matrix);
+    return newMatrix.sinh();
+  };
+
+  AbstractMatrix.prototype.sqrt = function sqrt() {
+    for (let i = 0; i < this.rows; i++) {
+      for (let j = 0; j < this.columns; j++) {
+        this.set(i, j, Math.sqrt(this.get(i, j)));
+      }
+    }
+    return this;
+  };
+
+  AbstractMatrix.sqrt = function sqrt(matrix) {
+    const newMatrix = new Matrix(matrix);
+    return newMatrix.sqrt();
+  };
+
+  AbstractMatrix.prototype.tan = function tan() {
+    for (let i = 0; i < this.rows; i++) {
+      for (let j = 0; j < this.columns; j++) {
+        this.set(i, j, Math.tan(this.get(i, j)));
+      }
+    }
+    return this;
+  };
+
+  AbstractMatrix.tan = function tan(matrix) {
     const newMatrix = new Matrix(matrix);
-    return newMatrix.log1p();
+    return newMatrix.tan();
   };
 
-  AbstractMatrix.prototype.log10 = function log10() {
+  AbstractMatrix.prototype.tanh = function tanh() {
     for (let i = 0; i < this.rows; i++) {
       for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, Math.log10(this.get(i, j)));
+        this.set(i, j, Math.tanh(this.get(i, j)));
       }
     }
     return this;
   };
 
-  AbstractMatrix.log10 = function log10(matrix) {
+  AbstractMatrix.tanh = function tanh(matrix) {
     const newMatrix = new Matrix(matrix);
-    return newMatrix.log10();
+    return newMatrix.tanh();
   };
 
-  AbstractMatrix.prototype.log2 = function log2() {
+  AbstractMatrix.prototype.trunc = function trunc() {
     for (let i = 0; i < this.rows; i++) {
       for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, Math.log2(this.get(i, j)));
+        this.set(i, j, Math.trunc(this.get(i, j)));
       }
     }
     return this;
   };
 
-  AbstractMatrix.log2 = function log2(matrix) {
+  AbstractMatrix.trunc = function trunc(matrix) {
     const newMatrix = new Matrix(matrix);
-    return newMatrix.log2();
+    return newMatrix.trunc();
   };
 
-  AbstractMatrix.prototype.round = function round() {
+  AbstractMatrix.pow = function pow(matrix, arg0) {
+    const newMatrix = new Matrix(matrix);
+    return newMatrix.pow(arg0);
+  };
+
+  AbstractMatrix.prototype.pow = function pow(value) {
+    if (typeof value === 'number') return this.powS(value);
+    return this.powM(value);
+  };
+
+  AbstractMatrix.prototype.powS = function powS(value) {
     for (let i = 0; i < this.rows; i++) {
       for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, Math.round(this.get(i, j)));
+        this.set(i, j, Math.pow(this.get(i, j), value));
       }
     }
     return this;
   };
 
-  AbstractMatrix.round = function round(matrix) {
-    const newMatrix = new Matrix(matrix);
-    return newMatrix.round();
-  };
-
-  AbstractMatrix.prototype.sign = function sign() {
+  AbstractMatrix.prototype.powM = function powM(matrix) {
+    matrix = Matrix.checkMatrix(matrix);
+    if (this.rows !== matrix.rows ||
+      this.columns !== matrix.columns) {
+      throw new RangeError('Matrices dimensions must be equal');
+    }
     for (let i = 0; i < this.rows; i++) {
       for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, Math.sign(this.get(i, j)));
+        this.set(i, j, Math.pow(this.get(i, j), matrix.get(i, j)));
       }
     }
     return this;
   };
+}
 
-  AbstractMatrix.sign = function sign(matrix) {
-    const newMatrix = new Matrix(matrix);
-    return newMatrix.sign();
+// CONCATENATED MODULE: ./node_modules/ml-matrix/src/util.js
+/**
+ * @private
+ * Check that a row index is not out of bounds
+ * @param {Matrix} matrix
+ * @param {number} index
+ * @param {boolean} [outer]
+ */
+function checkRowIndex(matrix, index, outer) {
+  let max = outer ? matrix.rows : matrix.rows - 1;
+  if (index < 0 || index > max) {
+    throw new RangeError('Row index out of range');
+  }
+}
+
+/**
+ * @private
+ * Check that a column index is not out of bounds
+ * @param {Matrix} matrix
+ * @param {number} index
+ * @param {boolean} [outer]
+ */
+function checkColumnIndex(matrix, index, outer) {
+  let max = outer ? matrix.columns : matrix.columns - 1;
+  if (index < 0 || index > max) {
+    throw new RangeError('Column index out of range');
+  }
+}
+
+/**
+ * @private
+ * Check that the provided vector is an array with the right length
+ * @param {Matrix} matrix
+ * @param {Array|Matrix} vector
+ * @return {Array}
+ * @throws {RangeError}
+ */
+function checkRowVector(matrix, vector) {
+  if (vector.to1DArray) {
+    vector = vector.to1DArray();
+  }
+  if (vector.length !== matrix.columns) {
+    throw new RangeError(
+      'vector size must be the same as the number of columns',
+    );
+  }
+  return vector;
+}
+
+/**
+ * @private
+ * Check that the provided vector is an array with the right length
+ * @param {Matrix} matrix
+ * @param {Array|Matrix} vector
+ * @return {Array}
+ * @throws {RangeError}
+ */
+function checkColumnVector(matrix, vector) {
+  if (vector.to1DArray) {
+    vector = vector.to1DArray();
+  }
+  if (vector.length !== matrix.rows) {
+    throw new RangeError('vector size must be the same as the number of rows');
+  }
+  return vector;
+}
+
+function checkIndices(matrix, rowIndices, columnIndices) {
+  return {
+    row: checkRowIndices(matrix, rowIndices),
+    column: checkColumnIndices(matrix, columnIndices),
   };
+}
 
-  AbstractMatrix.prototype.sin = function sin() {
-    for (let i = 0; i < this.rows; i++) {
-      for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, Math.sin(this.get(i, j)));
-      }
+function checkRowIndices(matrix, rowIndices) {
+  if (typeof rowIndices !== 'object') {
+    throw new TypeError('unexpected type for row indices');
+  }
+
+  let rowOut = rowIndices.some((r) => {
+    return r < 0 || r >= matrix.rows;
+  });
+
+  if (rowOut) {
+    throw new RangeError('row indices are out of range');
+  }
+
+  if (!Array.isArray(rowIndices)) rowIndices = Array.from(rowIndices);
+
+  return rowIndices;
+}
+
+function checkColumnIndices(matrix, columnIndices) {
+  if (typeof columnIndices !== 'object') {
+    throw new TypeError('unexpected type for column indices');
+  }
+
+  let columnOut = columnIndices.some((c) => {
+    return c < 0 || c >= matrix.columns;
+  });
+
+  if (columnOut) {
+    throw new RangeError('column indices are out of range');
+  }
+  if (!Array.isArray(columnIndices)) columnIndices = Array.from(columnIndices);
+
+  return columnIndices;
+}
+
+function checkRange(matrix, startRow, endRow, startColumn, endColumn) {
+  if (arguments.length !== 5) {
+    throw new RangeError('expected 4 arguments');
+  }
+  checkNumber('startRow', startRow);
+  checkNumber('endRow', endRow);
+  checkNumber('startColumn', startColumn);
+  checkNumber('endColumn', endColumn);
+  if (
+    startRow > endRow ||
+    startColumn > endColumn ||
+    startRow < 0 ||
+    startRow >= matrix.rows ||
+    endRow < 0 ||
+    endRow >= matrix.rows ||
+    startColumn < 0 ||
+    startColumn >= matrix.columns ||
+    endColumn < 0 ||
+    endColumn >= matrix.columns
+  ) {
+    throw new RangeError('Submatrix indices are out of range');
+  }
+}
+
+function newArray(length, value = 0) {
+  let array = [];
+  for (let i = 0; i < length; i++) {
+    array.push(value);
+  }
+  return array;
+}
+
+function checkNumber(name, value) {
+  if (typeof value !== 'number') {
+    throw new TypeError(`${name} must be a number`);
+  }
+}
+
+function checkNonEmpty(matrix) {
+  if (matrix.isEmpty()) {
+    throw new Error('Empty matrix has no elements to index');
+  }
+}
+
+// CONCATENATED MODULE: ./node_modules/ml-matrix/src/stat.js
+
+
+function sumByRow(matrix) {
+  let sum = newArray(matrix.rows);
+  for (let i = 0; i < matrix.rows; ++i) {
+    for (let j = 0; j < matrix.columns; ++j) {
+      sum[i] += matrix.get(i, j);
+    }
+  }
+  return sum;
+}
+
+function sumByColumn(matrix) {
+  let sum = newArray(matrix.columns);
+  for (let i = 0; i < matrix.rows; ++i) {
+    for (let j = 0; j < matrix.columns; ++j) {
+      sum[j] += matrix.get(i, j);
+    }
+  }
+  return sum;
+}
+
+function sumAll(matrix) {
+  let v = 0;
+  for (let i = 0; i < matrix.rows; i++) {
+    for (let j = 0; j < matrix.columns; j++) {
+      v += matrix.get(i, j);
+    }
+  }
+  return v;
+}
+
+function productByRow(matrix) {
+  let sum = newArray(matrix.rows, 1);
+  for (let i = 0; i < matrix.rows; ++i) {
+    for (let j = 0; j < matrix.columns; ++j) {
+      sum[i] *= matrix.get(i, j);
+    }
+  }
+  return sum;
+}
+
+function productByColumn(matrix) {
+  let sum = newArray(matrix.columns, 1);
+  for (let i = 0; i < matrix.rows; ++i) {
+    for (let j = 0; j < matrix.columns; ++j) {
+      sum[j] *= matrix.get(i, j);
+    }
+  }
+  return sum;
+}
+
+function productAll(matrix) {
+  let v = 1;
+  for (let i = 0; i < matrix.rows; i++) {
+    for (let j = 0; j < matrix.columns; j++) {
+      v *= matrix.get(i, j);
     }
-    return this;
-  };
+  }
+  return v;
+}
 
-  AbstractMatrix.sin = function sin(matrix) {
-    const newMatrix = new Matrix(matrix);
-    return newMatrix.sin();
-  };
+function varianceByRow(matrix, unbiased, mean) {
+  const rows = matrix.rows;
+  const cols = matrix.columns;
+  const variance = [];
 
-  AbstractMatrix.prototype.sinh = function sinh() {
-    for (let i = 0; i < this.rows; i++) {
-      for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, Math.sinh(this.get(i, j)));
-      }
+  for (let i = 0; i < rows; i++) {
+    let sum1 = 0;
+    let sum2 = 0;
+    let x = 0;
+    for (let j = 0; j < cols; j++) {
+      x = matrix.get(i, j) - mean[i];
+      sum1 += x;
+      sum2 += x * x;
     }
-    return this;
-  };
+    if (unbiased) {
+      variance.push((sum2 - (sum1 * sum1) / cols) / (cols - 1));
+    } else {
+      variance.push((sum2 - (sum1 * sum1) / cols) / cols);
+    }
+  }
+  return variance;
+}
 
-  AbstractMatrix.sinh = function sinh(matrix) {
-    const newMatrix = new Matrix(matrix);
-    return newMatrix.sinh();
-  };
+function varianceByColumn(matrix, unbiased, mean) {
+  const rows = matrix.rows;
+  const cols = matrix.columns;
+  const variance = [];
 
-  AbstractMatrix.prototype.sqrt = function sqrt() {
-    for (let i = 0; i < this.rows; i++) {
-      for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, Math.sqrt(this.get(i, j)));
-      }
+  for (let j = 0; j < cols; j++) {
+    let sum1 = 0;
+    let sum2 = 0;
+    let x = 0;
+    for (let i = 0; i < rows; i++) {
+      x = matrix.get(i, j) - mean[j];
+      sum1 += x;
+      sum2 += x * x;
     }
-    return this;
-  };
+    if (unbiased) {
+      variance.push((sum2 - (sum1 * sum1) / rows) / (rows - 1));
+    } else {
+      variance.push((sum2 - (sum1 * sum1) / rows) / rows);
+    }
+  }
+  return variance;
+}
 
-  AbstractMatrix.sqrt = function sqrt(matrix) {
-    const newMatrix = new Matrix(matrix);
-    return newMatrix.sqrt();
-  };
+function varianceAll(matrix, unbiased, mean) {
+  const rows = matrix.rows;
+  const cols = matrix.columns;
+  const size = rows * cols;
 
-  AbstractMatrix.prototype.tan = function tan() {
-    for (let i = 0; i < this.rows; i++) {
-      for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, Math.tan(this.get(i, j)));
-      }
+  let sum1 = 0;
+  let sum2 = 0;
+  let x = 0;
+  for (let i = 0; i < rows; i++) {
+    for (let j = 0; j < cols; j++) {
+      x = matrix.get(i, j) - mean;
+      sum1 += x;
+      sum2 += x * x;
     }
-    return this;
-  };
-
-  AbstractMatrix.tan = function tan(matrix) {
-    const newMatrix = new Matrix(matrix);
-    return newMatrix.tan();
-  };
+  }
+  if (unbiased) {
+    return (sum2 - (sum1 * sum1) / size) / (size - 1);
+  } else {
+    return (sum2 - (sum1 * sum1) / size) / size;
+  }
+}
 
-  AbstractMatrix.prototype.tanh = function tanh() {
-    for (let i = 0; i < this.rows; i++) {
-      for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, Math.tanh(this.get(i, j)));
-      }
+function centerByRow(matrix, mean) {
+  for (let i = 0; i < matrix.rows; i++) {
+    for (let j = 0; j < matrix.columns; j++) {
+      matrix.set(i, j, matrix.get(i, j) - mean[i]);
     }
-    return this;
-  };
+  }
+}
 
-  AbstractMatrix.tanh = function tanh(matrix) {
-    const newMatrix = new Matrix(matrix);
-    return newMatrix.tanh();
-  };
+function centerByColumn(matrix, mean) {
+  for (let i = 0; i < matrix.rows; i++) {
+    for (let j = 0; j < matrix.columns; j++) {
+      matrix.set(i, j, matrix.get(i, j) - mean[j]);
+    }
+  }
+}
 
-  AbstractMatrix.prototype.trunc = function trunc() {
-    for (let i = 0; i < this.rows; i++) {
-      for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, Math.trunc(this.get(i, j)));
-      }
+function centerAll(matrix, mean) {
+  for (let i = 0; i < matrix.rows; i++) {
+    for (let j = 0; j < matrix.columns; j++) {
+      matrix.set(i, j, matrix.get(i, j) - mean);
     }
-    return this;
-  };
+  }
+}
 
-  AbstractMatrix.trunc = function trunc(matrix) {
-    const newMatrix = new Matrix(matrix);
-    return newMatrix.trunc();
-  };
+function getScaleByRow(matrix) {
+  const scale = [];
+  for (let i = 0; i < matrix.rows; i++) {
+    let sum = 0;
+    for (let j = 0; j < matrix.columns; j++) {
+      sum += Math.pow(matrix.get(i, j), 2) / (matrix.columns - 1);
+    }
+    scale.push(Math.sqrt(sum));
+  }
+  return scale;
+}
 
-  AbstractMatrix.pow = function pow(matrix, arg0) {
-    const newMatrix = new Matrix(matrix);
-    return newMatrix.pow(arg0);
-  };
+function scaleByRow(matrix, scale) {
+  for (let i = 0; i < matrix.rows; i++) {
+    for (let j = 0; j < matrix.columns; j++) {
+      matrix.set(i, j, matrix.get(i, j) / scale[i]);
+    }
+  }
+}
 
-  AbstractMatrix.prototype.pow = function pow(value) {
-    if (typeof value === 'number') return this.powS(value);
-    return this.powM(value);
-  };
+function getScaleByColumn(matrix) {
+  const scale = [];
+  for (let j = 0; j < matrix.columns; j++) {
+    let sum = 0;
+    for (let i = 0; i < matrix.rows; i++) {
+      sum += Math.pow(matrix.get(i, j), 2) / (matrix.rows - 1);
+    }
+    scale.push(Math.sqrt(sum));
+  }
+  return scale;
+}
 
-  AbstractMatrix.prototype.powS = function powS(value) {
-    for (let i = 0; i < this.rows; i++) {
-      for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, Math.pow(this.get(i, j), value));
-      }
+function scaleByColumn(matrix, scale) {
+  for (let i = 0; i < matrix.rows; i++) {
+    for (let j = 0; j < matrix.columns; j++) {
+      matrix.set(i, j, matrix.get(i, j) / scale[j]);
     }
-    return this;
-  };
+  }
+}
 
-  AbstractMatrix.prototype.powM = function powM(matrix) {
-    matrix = Matrix.checkMatrix(matrix);
-    if (this.rows !== matrix.rows ||
-      this.columns !== matrix.columns) {
-      throw new RangeError('Matrices dimensions must be equal');
+function getScaleAll(matrix) {
+  const divider = matrix.size - 1;
+  let sum = 0;
+  for (let j = 0; j < matrix.columns; j++) {
+    for (let i = 0; i < matrix.rows; i++) {
+      sum += Math.pow(matrix.get(i, j), 2) / divider;
     }
-    for (let i = 0; i < this.rows; i++) {
-      for (let j = 0; j < this.columns; j++) {
-        this.set(i, j, Math.pow(this.get(i, j), matrix.get(i, j)));
-      }
+  }
+  return Math.sqrt(sum);
+}
+
+function scaleAll(matrix, scale) {
+  for (let i = 0; i < matrix.rows; i++) {
+    for (let j = 0; j < matrix.columns; j++) {
+      matrix.set(i, j, matrix.get(i, j) / scale);
     }
-    return this;
-  };
+  }
 }
 
 // CONCATENATED MODULE: ./node_modules/ml-matrix/src/matrix.js
@@ -3659,6 +3693,10 @@ class matrix_AbstractMatrix {
     return this.rows === this.columns;
   }
 
+  isEmpty() {
+    return this.rows === 0 || this.columns === 0;
+  }
+
   isSymmetric() {
     if (this.isSquare()) {
       for (let i = 0; i < this.rows; i++) {
@@ -3996,6 +4034,9 @@ class matrix_AbstractMatrix {
   }
 
   max() {
+    if (this.isEmpty()) {
+      return NaN;
+    }
     let v = this.get(0, 0);
     for (let i = 0; i < this.rows; i++) {
       for (let j = 0; j < this.columns; j++) {
@@ -4008,6 +4049,7 @@ class matrix_AbstractMatrix {
   }
 
   maxIndex() {
+    checkNonEmpty(this);
     let v = this.get(0, 0);
     let idx = [0, 0];
     for (let i = 0; i < this.rows; i++) {
@@ -4023,6 +4065,9 @@ class matrix_AbstractMatrix {
   }
 
   min() {
+    if (this.isEmpty()) {
+      return NaN;
+    }
     let v = this.get(0, 0);
     for (let i = 0; i < this.rows; i++) {
       for (let j = 0; j < this.columns; j++) {
@@ -4035,6 +4080,7 @@ class matrix_AbstractMatrix {
   }
 
   minIndex() {
+    checkNonEmpty(this);
     let v = this.get(0, 0);
     let idx = [0, 0];
     for (let i = 0; i < this.rows; i++) {
@@ -4051,6 +4097,9 @@ class matrix_AbstractMatrix {
 
   maxRow(row) {
     checkRowIndex(this, row);
+    if (this.isEmpty()) {
+      return NaN;
+    }
     let v = this.get(row, 0);
     for (let i = 1; i < this.columns; i++) {
       if (this.get(row, i) > v) {
@@ -4062,6 +4111,7 @@ class matrix_AbstractMatrix {
 
   maxRowIndex(row) {
     checkRowIndex(this, row);
+    checkNonEmpty(this);
     let v = this.get(row, 0);
     let idx = [row, 0];
     for (let i = 1; i < this.columns; i++) {
@@ -4075,6 +4125,9 @@ class matrix_AbstractMatrix {
 
   minRow(row) {
     checkRowIndex(this, row);
+    if (this.isEmpty()) {
+      return NaN;
+    }
     let v = this.get(row, 0);
     for (let i = 1; i < this.columns; i++) {
       if (this.get(row, i) < v) {
@@ -4086,6 +4139,7 @@ class matrix_AbstractMatrix {
 
   minRowIndex(row) {
     checkRowIndex(this, row);
+    checkNonEmpty(this);
     let v = this.get(row, 0);
     let idx = [row, 0];
     for (let i = 1; i < this.columns; i++) {
@@ -4099,6 +4153,9 @@ class matrix_AbstractMatrix {
 
   maxColumn(column) {
     checkColumnIndex(this, column);
+    if (this.isEmpty()) {
+      return NaN;
+    }
     let v = this.get(0, column);
     for (let i = 1; i < this.rows; i++) {
       if (this.get(i, column) > v) {
@@ -4110,6 +4167,7 @@ class matrix_AbstractMatrix {
 
   maxColumnIndex(column) {
     checkColumnIndex(this, column);
+    checkNonEmpty(this);
     let v = this.get(0, column);
     let idx = [0, column];
     for (let i = 1; i < this.rows; i++) {
@@ -4123,6 +4181,9 @@ class matrix_AbstractMatrix {
 
   minColumn(column) {
     checkColumnIndex(this, column);
+    if (this.isEmpty()) {
+      return NaN;
+    }
     let v = this.get(0, column);
     for (let i = 1; i < this.rows; i++) {
       if (this.get(i, column) < v) {
@@ -4134,6 +4195,7 @@ class matrix_AbstractMatrix {
 
   minColumnIndex(column) {
     checkColumnIndex(this, column);
+    checkNonEmpty(this);
     let v = this.get(0, column);
     let idx = [0, column];
     for (let i = 1; i < this.rows; i++) {
@@ -4452,7 +4514,9 @@ class matrix_AbstractMatrix {
     let newMatrix = new matrix_Matrix(this.rows, this.columns);
     for (let i = 0; i < this.rows; i++) {
       const row = this.getRow(i);
-      ml_array_rescale_lib_es6(row, { min, max, output: row });
+      if (row.length > 0) {
+        ml_array_rescale_lib_es6(row, { min, max, output: row });
+      }
       newMatrix.setRow(i, row);
     }
     return newMatrix;
@@ -4469,11 +4533,13 @@ class matrix_AbstractMatrix {
     let newMatrix = new matrix_Matrix(this.rows, this.columns);
     for (let i = 0; i < this.columns; i++) {
       const column = this.getColumn(i);
-      ml_array_rescale_lib_es6(column, {
-        min: min,
-        max: max,
-        output: column,
-      });
+      if (column.length) {
+        ml_array_rescale_lib_es6(column, {
+          min: min,
+          max: max,
+          output: column,
+        });
+      }
       newMatrix.setColumn(i, column);
     }
     return newMatrix;
@@ -4526,6 +4592,18 @@ class matrix_AbstractMatrix {
     return result;
   }
 
+  kroneckerSum(other) {
+    other = matrix_Matrix.checkMatrix(other);
+    if (!this.isSquare() || !other.isSquare()) {
+      throw new Error('Kronecker Sum needs two Square Matrices');
+    }
+    let m = this.rows;
+    let n = other.rows;
+    let AxI = this.kroneckerProduct(matrix_Matrix.eye(n, n));
+    let IxB = matrix_Matrix.eye(m, m).kroneckerProduct(other);
+    return AxI.add(IxB);
+  }
+
   transpose() {
     let result = new matrix_Matrix(this.columns, this.rows);
     for (let i = 0; i < this.rows; i++) {
@@ -4616,6 +4694,9 @@ class matrix_AbstractMatrix {
 
   setSubMatrix(matrix, startRow, startColumn) {
     matrix = matrix_Matrix.checkMatrix(matrix);
+    if (matrix.isEmpty()) {
+      return this;
+    }
     let endRow = startRow + matrix.rows - 1;
     let endColumn = startColumn + matrix.columns - 1;
     checkRange(this, startRow, endRow, startColumn, endColumn);
@@ -4836,6 +4917,10 @@ class matrix_AbstractMatrix {
         throw new Error(`invalid option: ${by}`);
     }
   }
+
+  toString(options) {
+    return inspectMatrixWithOptions(this, options);
+  }
 }
 
 matrix_AbstractMatrix.prototype.klass = 'Matrix';
@@ -4863,11 +4948,12 @@ class matrix_Matrix extends matrix_AbstractMatrix {
   constructor(nRows, nColumns) {
     super();
     if (matrix_Matrix.isMatrix(nRows)) {
+      // eslint-disable-next-line no-constructor-return
       return nRows.clone();
-    } else if (Number.isInteger(nRows) && nRows > 0) {
+    } else if (Number.isInteger(nRows) && nRows >= 0) {
       // Create an empty matrix
       this.data = [];
-      if (Number.isInteger(nColumns) && nColumns > 0) {
+      if (Number.isInteger(nColumns) && nColumns >= 0) {
         for (let i = 0; i < nRows; i++) {
           this.data.push(new Float64Array(nColumns));
         }
@@ -4878,8 +4964,8 @@ class matrix_Matrix extends matrix_AbstractMatrix {
       // Copy the values from the 2D array
       const arrayData = nRows;
       nRows = arrayData.length;
-      nColumns = arrayData[0].length;
-      if (typeof nColumns !== 'number' || nColumns === 0) {
+      nColumns = nRows ? arrayData[0].length : 0;
+      if (typeof nColumns !== 'number') {
         throw new TypeError(
           'Data must be a 2D array with at least one element',
         );
@@ -4898,7 +4984,6 @@ class matrix_Matrix extends matrix_AbstractMatrix {
     }
     this.rows = nRows;
     this.columns = nColumns;
-    return this;
   }
 
   set(rowIndex, columnIndex, value) {
@@ -4912,9 +4997,6 @@ class matrix_Matrix extends matrix_AbstractMatrix {
 
   removeRow(index) {
     checkRowIndex(this, index);
-    if (this.rows === 1) {
-      throw new RangeError('A matrix cannot have less than one row');
-    }
     this.data.splice(index, 1);
     this.rows -= 1;
     return this;
@@ -4926,7 +5008,7 @@ class matrix_Matrix extends matrix_AbstractMatrix {
       index = this.rows;
     }
     checkRowIndex(this, index, true);
-    array = Float64Array.from(checkRowVector(this, array, true));
+    array = Float64Array.from(checkRowVector(this, array));
     this.data.splice(index, 0, array);
     this.rows += 1;
     return this;
@@ -4934,9 +5016,6 @@ class matrix_Matrix extends matrix_AbstractMatrix {
 
   removeColumn(index) {
     checkColumnIndex(this, index);
-    if (this.columns === 1) {
-      throw new RangeError('A matrix cannot have less than one column');
-    }
     for (let i = 0; i < this.rows; i++) {
       const newRow = new Float64Array(this.columns - 1);
       for (let j = 0; j < index; j++) {
@@ -5346,6 +5425,10 @@ class svd_SingularValueDecomposition {
   constructor(value, options = {}) {
     value = WrapperMatrix2D_WrapperMatrix2D.checkMatrix(value);
 
+    if (value.isEmpty()) {
+      throw new Error('Matrix must be non-empty');
+    }
+
     let m = value.rows;
     let n = value.columns;
 
@@ -5907,20 +5990,20 @@ function gradientFunction(
   evaluatedData,
   params,
   gradientDifference,
-  paramFunction
+  paramFunction,
 ) {
   const n = params.length;
   const m = data.x.length;
 
-  var ans = new Array(n);
+  let ans = new Array(n);
 
-  for (var param = 0; param < n; param++) {
+  for (let param = 0; param < n; param++) {
     ans[param] = new Array(m);
-    var auxParams = params.concat();
+    let auxParams = params.slice();
     auxParams[param] += gradientDifference;
-    var funcParam = paramFunction(auxParams);
+    let funcParam = paramFunction(auxParams);
 
-    for (var point = 0; point < m; point++) {
+    for (let point = 0; point < m; point++) {
       ans[param][point] = evaluatedData[point] - funcParam(data.x[point]);
     }
   }
@@ -5937,9 +6020,9 @@ function gradientFunction(
 function matrixFunction(data, evaluatedData) {
   const m = data.x.length;
 
-  var ans = new Array(m);
+  let ans = new Array(m);
 
-  for (var point = 0; point < m; point++) {
+  for (let point = 0; point < m; point++) {
     ans[point] = [data.y[point] - evaluatedData[point]];
   }
 
@@ -5961,24 +6044,28 @@ function step(
   params,
   damping,
   gradientDifference,
-  parameterizedFunction
+  parameterizedFunction,
 ) {
-  var value = damping * gradientDifference * gradientDifference;
-  var identity = matrix_Matrix.eye(params.length, params.length, value);
+  let value = damping * gradientDifference * gradientDifference;
+  let identity = matrix_Matrix.eye(params.length, params.length, value);
 
   const func = parameterizedFunction(params);
-  var evaluatedData = data.x.map((e) => func(e));
 
-  var gradientFunc = gradientFunction(
+  let evaluatedData = new Float64Array(data.x.length);
+  for (let i = 0; i < data.x.length; i++) {
+    evaluatedData[i] = func(data.x[i]);
+  }
+
+  let gradientFunc = gradientFunction(
     data,
     evaluatedData,
     params,
     gradientDifference,
-    parameterizedFunction
+    parameterizedFunction,
   );
-  var matrixFunc = matrixFunction(data, evaluatedData);
-  var inverseMatrix = inverse(
-    identity.add(gradientFunc.mmul(gradientFunc.transpose()))
+  let matrixFunc = matrixFunction(data, evaluatedData);
+  let inverseMatrix = inverse(
+    identity.add(gradientFunc.mmul(gradientFunc.transpose())),
   );
 
   params = new matrix_Matrix([params]);
@@ -5987,7 +6074,7 @@ function step(
       .mmul(gradientFunc)
       .mmul(matrixFunc)
       .mul(gradientDifference)
-      .transpose()
+      .transpose(),
   );
 
   return params.to1DArray();
@@ -5998,6 +6085,8 @@ function step(
 
 
 
+
+
 /**
  * Curve fitting algorithm
  * @param {{x:Array<number>, y:Array<number>}} data - Array of points to fit in the format [x1, x2, ... ], [y1, y2, ... ]
@@ -6015,7 +6104,7 @@ function step(
 function levenbergMarquardt(
   data,
   parameterizedFunction,
-  options = {}
+  options = {},
 ) {
   let {
     maxIterations = 100,
@@ -6024,7 +6113,7 @@ function levenbergMarquardt(
     errorTolerance = 10e-3,
     minValues,
     maxValues,
-    initialValues
+    initialValues,
   } = options;
 
   if (damping <= 0) {
@@ -6032,19 +6121,19 @@ function levenbergMarquardt(
   } else if (!data.x || !data.y) {
     throw new Error('The data parameter must have x and y elements');
   } else if (
-    !Array.isArray(data.x) ||
+    !isAnyArray(data.x) ||
     data.x.length < 2 ||
-    !Array.isArray(data.y) ||
+    !isAnyArray(data.y) ||
     data.y.length < 2
   ) {
     throw new Error(
-      'The data parameter elements must be an array with more than 2 points'
+      'The data parameter elements must be an array with more than 2 points',
     );
   } else if (data.x.length !== data.y.length) {
     throw new Error('The data parameter elements must have the same size');
   }
 
-  var parameters =
+  let parameters =
     initialValues || new Array(parameterizedFunction.length).fill(1);
   let parLen = parameters.length;
   maxValues = maxValues || new Array(parLen).fill(Number.MAX_SAFE_INTEGER);
@@ -6054,31 +6143,28 @@ function levenbergMarquardt(
     throw new Error('minValues and maxValues must be the same size');
   }
 
-  if (!Array.isArray(parameters)) {
+  if (!isAnyArray(parameters)) {
     throw new Error('initialValues must be an array');
   }
 
-  var error = errorCalculation(data, parameters, parameterizedFunction);
+  let error = errorCalculation(data, parameters, parameterizedFunction);
 
-  var converged = error <= errorTolerance;
+  let converged = error <= errorTolerance;
 
-  for (
-    var iteration = 0;
-    iteration < maxIterations && !converged;
-    iteration++
-  ) {
+  let iteration;
+  for (iteration = 0; iteration < maxIterations && !converged; iteration++) {
     parameters = step(
       data,
       parameters,
       damping,
       gradientDifference,
-      parameterizedFunction
+      parameterizedFunction,
     );
 
     for (let k = 0; k < parLen; k++) {
       parameters[k] = Math.min(
         Math.max(minValues[k], parameters[k]),
-        maxValues[k]
+        maxValues[k],
       );
     }
 
@@ -6090,7 +6176,7 @@ function levenbergMarquardt(
   return {
     parameterValues: parameters,
     parameterError: error,
-    iterations: iteration
+    iterations: iteration,
   };
 }
 
diff --git a/lib/umap-js.min.js b/lib/umap-js.min.js
index 617fb4a..2d167ec 100644
--- a/lib/umap-js.min.js
+++ b/lib/umap-js.min.js
@@ -1 +1 @@
-!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.UMAP=e():t.UMAP=e()}(this,function(){return function(t){var e={};function r(n){if(e[n])return e[n].exports;var o=e[n]={i:n,l:!1,exports:{}};return t[n].call(o.exports,o,o.exports,r),o.l=!0,o.exports}return r.m=t,r.c=e,r.d=function(t,e,n){r.o(t,e)||Object.defineProperty(t,e,{enumerable:!0,get:n})},r.r=function(t){"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(t,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(t,"__esModule",{value:!0})},r.t=function(t,e){if(1&e&&(t=r(t)),8&e)return t;if(4&e&&"object"==typeof t&&t&&t.__esModule)return t;var n=Object.create(null);if(r.r(n),Object.defineProperty(n,"default",{enumerable:!0,value:t}),2&e&&"string"!=typeof t)for(var o in t)r.d(n,o,function(e){return t[e]}.bind(null,o));return n},r.n=function(t){var e=t&&t.__esModule?function(){return 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r}minColumn(t){l(this,t);let e=this.get(0,t);for(let r=1;r<this.rows;r++)this.get(r,t)<e&&(e=this.get(r,t));return e}minColumnIndex(t){l(this,t);let e=this.get(0,t),r=[0,t];for(let n=1;n<this.rows;n++)this.get(n,t)<e&&(e=this.get(n,t),r[0]=n);return r}diag(){let t=Math.min(this.rows,this.columns),e=[];for(let r=0;r<t;r++)e.push(this.get(r,r));return e}norm(t="frobenius"){let e=0;if("max"===t)return this.max();if("frobenius"===t){for(let t=0;t<this.rows;t++)for(let r=0;r<this.columns;r++)e+=this.get(t,r)*this.get(t,r);return Math.sqrt(e)}throw new RangeError(`unknown norm type: ${t}`)}cumulativeSum(){let t=0;for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)t+=this.get(e,r),this.set(e,r,t);return this}dot(t){S.isMatrix(t)&&(t=t.to1DArray());let e=this.to1DArray();if(e.length!==t.length)throw new RangeError("vectors do not have the same size");let r=0;for(let n=0;n<e.length;n++)r+=e[n]*t[n];return r}mmul(t){t=E.checkMatrix(t);let e=this.rows,r=this.columns,n=t.columns,o=new 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r=this.get(0,0),n=this.get(0,1),o=this.get(0,2),i=this.get(1,0),s=this.get(1,1),a=this.get(1,2),h=this.get(2,0),u=this.get(2,1),l=this.get(2,2),f=t.get(0,0),c=t.get(0,1),m=t.get(0,2),p=t.get(1,0),g=t.get(1,1),w=t.get(1,2),d=t.get(2,0),y=t.get(2,1),v=t.get(2,2),b=(r-i)*(-c+g),M=(-r+i+s)*(f-c+g),S=(i+s)*(-f+c),x=r*f,R=(-r+h+u)*(f-m+w),k=(-r+h)*(m-w),z=(h+u)*(-f+m),N=(-o+u+l)*(g+d-y),A=(o-l)*(g-y),_=o*d,P=(u+l)*(-d+y),j=(-o+s+a)*(w+d-v),O=(o-a)*(w-v),T=(s+a)*(-d+v),C=x+_+n*p,F=(r+n+o-i-s-u-l)*g+M+S+x+N+_+P,I=x+R+z+(r+n+o-s-a-h-u)*w+_+j+T,V=b+s*(-f+c+p-g-w-d+v)+M+x+_+j+O,D=b+M+S+x+a*y,L=_+j+O+T+i*m,q=x+R+k+u*(-f+m+p-g-w-d+y)+N+A+_,$=N+A+_+P+h*c,U=x+R+k+z+l*v;return e.set(0,0,C),e.set(0,1,F),e.set(0,2,I),e.set(1,0,V),e.set(1,1,D),e.set(1,2,L),e.set(2,0,q),e.set(2,1,$),e.set(2,2,U),e}mmulStrassen(t){t=E.checkMatrix(t);let e=this.clone(),r=e.rows,n=e.columns,o=t.rows,i=t.columns;function s(t,e,r){let n=t.rows,o=t.columns;if(n===e&&o===r)return t;{let n=S.zeros(e,r);return n=n.setSubMatrix(t,0,0)}}n!==o&&console.warn(`Multiplying ${r} x ${n} and ${o} x ${i} matrix: dimensions do not match.`);let a=Math.max(r,o),h=Math.max(n,i);return function t(e,r,n,o){if(n<=512||o<=512)return e.mmul(r);n%2==1&&o%2==1?(e=s(e,n+1,o+1),r=s(r,n+1,o+1)):n%2==1?(e=s(e,n+1,o),r=s(r,n+1,o)):o%2==1&&(e=s(e,n,o+1),r=s(r,n,o+1));let i=parseInt(e.rows/2,10),a=parseInt(e.columns/2,10),h=e.subMatrix(0,i-1,0,a-1),u=r.subMatrix(0,i-1,0,a-1),l=e.subMatrix(0,i-1,a,e.columns-1),f=r.subMatrix(0,i-1,a,r.columns-1),c=e.subMatrix(i,e.rows-1,0,a-1),m=r.subMatrix(i,r.rows-1,0,a-1),p=e.subMatrix(i,e.rows-1,a,e.columns-1),g=r.subMatrix(i,r.rows-1,a,r.columns-1),w=t(S.add(h,p),S.add(u,g),i,a),d=t(S.add(c,p),u,i,a),y=t(h,S.sub(f,g),i,a),v=t(p,S.sub(m,u),i,a),b=t(S.add(h,l),g,i,a),M=t(S.sub(c,h),S.add(u,f),i,a),x=t(S.sub(l,p),S.add(m,g),i,a),E=S.add(w,v);E.sub(b),E.add(x);let R=S.add(y,b),k=S.add(d,v),z=S.sub(w,d);z.add(y),z.add(M);let N=S.zeros(2*E.rows,2*E.columns);return(N=(N=(N=(N=N.setSubMatrix(E,0,0)).setSubMatrix(R,E.rows,0)).setSubMatrix(k,0,E.columns)).setSubMatrix(z,E.rows,E.columns)).subMatrix(0,n-1,0,o-1)}(e=s(e,a,h),t=s(t,a,h),a,h)}scaleRows(t={}){if("object"!=typeof t)throw new TypeError("options must be an object");const{min:e=0,max:r=1}=t;if(!Number.isFinite(e))throw new TypeError("min must be a number");if(!Number.isFinite(r))throw new TypeError("max must be a number");if(e>=r)throw new RangeError("min must be smaller than max");let n=new E(this.rows,this.columns);for(let t=0;t<this.rows;t++){const o=this.getRow(t);h(o,{min:e,max:r,output:o}),n.setRow(t,o)}return n}scaleColumns(t={}){if("object"!=typeof t)throw new TypeError("options must be an object");const{min:e=0,max:r=1}=t;if(!Number.isFinite(e))throw new TypeError("min must be a number");if(!Number.isFinite(r))throw new TypeError("max must be a number");if(e>=r)throw new RangeError("min must be smaller than max");let n=new E(this.rows,this.columns);for(let t=0;t<this.columns;t++){const o=this.getColumn(t);h(o,{min:e,max:r,output:o}),n.setColumn(t,o)}return n}flipRows(){const t=Math.ceil(this.columns/2);for(let e=0;e<this.rows;e++)for(let r=0;r<t;r++){let t=this.get(e,r),n=this.get(e,this.columns-1-r);this.set(e,r,n),this.set(e,this.columns-1-r,t)}return this}flipColumns(){const t=Math.ceil(this.rows/2);for(let e=0;e<this.columns;e++)for(let r=0;r<t;r++){let t=this.get(r,e),n=this.get(this.rows-1-r,e);this.set(r,e,n),this.set(this.rows-1-r,e,t)}return this}kroneckerProduct(t){t=E.checkMatrix(t);let e=this.rows,r=this.columns,n=t.rows,o=t.columns,i=new E(e*n,r*o);for(let s=0;s<e;s++)for(let e=0;e<r;e++)for(let r=0;r<n;r++)for(let a=0;a<o;a++)i.set(n*s+r,o*e+a,this.get(s,e)*t.get(r,a));return i}transpose(){let t=new E(this.columns,this.rows);for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)t.set(r,e,this.get(e,r));return t}sortRows(t=x){for(let e=0;e<this.rows;e++)this.setRow(e,this.getRow(e).sort(t));return this}sortColumns(t=x){for(let e=0;e<this.columns;e++)this.setColumn(e,this.getColumn(e).sort(t));return this}subMatrix(t,e,r,n){g(this,t,e,r,n);let o=new E(e-t+1,n-r+1);for(let i=t;i<=e;i++)for(let e=r;e<=n;e++)o.set(i-t,e-r,this.get(i,e));return o}subMatrixRow(t,e,r){if(void 0===e&&(e=0),void 0===r&&(r=this.columns-1),e>r||e<0||e>=this.columns||r<0||r>=this.columns)throw new RangeError("Argument out of range");let n=new E(t.length,r-e+1);for(let o=0;o<t.length;o++)for(let i=e;i<=r;i++){if(t[o]<0||t[o]>=this.rows)throw new RangeError(`Row index out of range: ${t[o]}`);n.set(o,i-e,this.get(t[o],i))}return n}subMatrixColumn(t,e,r){if(void 0===e&&(e=0),void 0===r&&(r=this.rows-1),e>r||e<0||e>=this.rows||r<0||r>=this.rows)throw new RangeError("Argument out of range");let n=new E(r-e+1,t.length);for(let o=0;o<t.length;o++)for(let i=e;i<=r;i++){if(t[o]<0||t[o]>=this.columns)throw new RangeError(`Column index out of range: 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function(t){let e=0;for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)e+=t.get(r,n);return e}(this);default:throw new Error(`invalid option: ${t}`)}}product(t){switch(t){case"row":return function(t){let e=w(t.rows,1);for(let r=0;r<t.rows;++r)for(let n=0;n<t.columns;++n)e[r]*=t.get(r,n);return e}(this);case"column":return function(t){let e=w(t.columns,1);for(let r=0;r<t.rows;++r)for(let n=0;n<t.columns;++n)e[n]*=t.get(r,n);return e}(this);case void 0:return function(t){let e=1;for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)e*=t.get(r,n);return e}(this);default:throw new Error(`invalid option: ${t}`)}}mean(t){const e=this.sum(t);switch(t){case"row":for(let t=0;t<this.rows;t++)e[t]/=this.columns;return e;case"column":for(let t=0;t<this.columns;t++)e[t]/=this.rows;return e;case void 0:return e/this.size;default:throw new Error(`invalid option: ${t}`)}}variance(t,e={}){if("object"==typeof t&&(e=t,t=void 0),"object"!=typeof e)throw new TypeError("options must be an object");const{unbiased:r=!0,mean:n=this.mean(t)}=e;if("boolean"!=typeof r)throw new TypeError("unbiased must be a boolean");switch(t){case"row":if(!Array.isArray(n))throw new TypeError("mean must be an array");return function(t,e,r){const n=t.rows,o=t.columns,i=[];for(let s=0;s<n;s++){let n=0,a=0,h=0;for(let e=0;e<o;e++)n+=h=t.get(s,e)-r[s],a+=h*h;e?i.push((a-n*n/o)/(o-1)):i.push((a-n*n/o)/o)}return i}(this,r,n);case"column":if(!Array.isArray(n))throw new TypeError("mean must be an array");return function(t,e,r){const n=t.rows,o=t.columns,i=[];for(let s=0;s<o;s++){let o=0,a=0,h=0;for(let e=0;e<n;e++)o+=h=t.get(e,s)-r[s],a+=h*h;e?i.push((a-o*o/n)/(n-1)):i.push((a-o*o/n)/n)}return i}(this,r,n);case void 0:if("number"!=typeof n)throw new TypeError("mean must be a number");return function(t,e,r){const n=t.rows,o=t.columns,i=n*o;let s=0,a=0,h=0;for(let e=0;e<n;e++)for(let n=0;n<o;n++)s+=h=t.get(e,n)-r,a+=h*h;return e?(a-s*s/i)/(i-1):(a-s*s/i)/i}(this,r,n);default:throw new Error(`invalid option: ${t}`)}}standardDeviation(t,e){"object"==typeof t&&(e=t,t=void 0);const r=this.variance(t,e);if(void 0===t)return Math.sqrt(r);for(let t=0;t<r.length;t++)r[t]=Math.sqrt(r[t]);return r}center(t,e={}){if("object"==typeof t&&(e=t,t=void 0),"object"!=typeof e)throw new TypeError("options must be an object");const{center:r=this.mean(t)}=e;switch(t){case"row":if(!Array.isArray(r))throw new TypeError("center must be an array");return function(t,e){for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)t.set(r,n,t.get(r,n)-e[r])}(this,r),this;case"column":if(!Array.isArray(r))throw new TypeError("center must be an array");return function(t,e){for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)t.set(r,n,t.get(r,n)-e[n])}(this,r),this;case void 0:if("number"!=typeof r)throw new TypeError("center must be a number");return function(t,e){for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)t.set(r,n,t.get(r,n)-e)}(this,r),this;default:throw new Error(`invalid option: ${t}`)}}scale(t,e={}){if("object"==typeof t&&(e=t,t=void 0),"object"!=typeof e)throw new TypeError("options must be an object");let r=e.scale;switch(t){case"row":if(void 0===r)r=function(t){const e=[];for(let r=0;r<t.rows;r++){let n=0;for(let e=0;e<t.columns;e++)n+=Math.pow(t.get(r,e),2)/(t.columns-1);e.push(Math.sqrt(n))}return e}(this);else if(!Array.isArray(r))throw new TypeError("scale must be an array");return function(t,e){for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)t.set(r,n,t.get(r,n)/e[r])}(this,r),this;case"column":if(void 0===r)r=function(t){const e=[];for(let r=0;r<t.columns;r++){let n=0;for(let e=0;e<t.rows;e++)n+=Math.pow(t.get(e,r),2)/(t.rows-1);e.push(Math.sqrt(n))}return e}(this);else if(!Array.isArray(r))throw new TypeError("scale must be an array");return function(t,e){for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)t.set(r,n,t.get(r,n)/e[n])}(this,r),this;case void 0:if(void 0===r)r=function(t){const e=t.size-1;let r=0;for(let n=0;n<t.columns;n++)for(let o=0;o<t.rows;o++)r+=Math.pow(t.get(o,n),2)/e;return Math.sqrt(r)}(this);else if("number"!=typeof r)throw new TypeError("scale must be a number");return function(t,e){for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)t.set(r,n,t.get(r,n)/e)}(this,r),this;default:throw new Error(`invalid option: ${t}`)}}}function x(t,e){return t-e}S.prototype.klass="Matrix","undefined"!=typeof Symbol&&(S.prototype[Symbol.for("nodejs.util.inspect.custom")]=function(){const t=" ".repeat(2),e=" ".repeat(4);return`${this.constructor.name} {\n${t}[\n${e}${function(t,e){const{rows:r,columns:n}=t,o=Math.min(r,y),i=Math.min(n,v),s=[];for(let e=0;e<o;e++){let r=[];for(let n=0;n<i;n++)r.push(M(t.get(e,n)));s.push(`${r.join(" ")}`)}return i!==n&&(s[s.length-1]+=` ... ${n-v} more columns`),o!==r&&s.push(`... ${r-y} more rows`),s.join(`\n${e}`)}(this,e)}\n${t}]\n${t}rows: ${this.rows}\n${t}columns: ${this.columns}\n}`}),S.random=S.rand,S.randomInt=S.randInt,S.diagonal=S.diag,S.prototype.diagonal=S.prototype.diag,S.identity=S.eye,S.prototype.negate=S.prototype.neg,S.prototype.tensorProduct=S.prototype.kroneckerProduct;class E extends S{constructor(t,e){if(super(),E.isMatrix(t))return t.clone();if(Number.isInteger(t)&&t>0){if(this.data=[],!(Number.isInteger(e)&&e>0))throw new TypeError("nColumns must be a positive integer");for(let r=0;r<t;r++)this.data.push(new Float64Array(e))}else{if(!Array.isArray(t))throw new TypeError("First argument must be a positive number or an array");{const r=t;if(t=r.length,"number"!=typeof(e=r[0].length)||0===e)throw new TypeError("Data must be a 2D array with at least one element");this.data=[];for(let n=0;n<t;n++){if(r[n].length!==e)throw new RangeError("Inconsistent array dimensions");this.data.push(Float64Array.from(r[n]))}}}return this.rows=t,this.columns=e,this}set(t,e,r){return this.data[t][e]=r,this}get(t,e){return this.data[t][e]}removeRow(t){if(u(this,t),1===this.rows)throw new RangeError("A matrix cannot have less than one row");return this.data.splice(t,1),this.rows-=1,this}addRow(t,e){return void 0===e&&(e=t,t=this.rows),u(this,t,!0),e=Float64Array.from(f(this,e)),this.data.splice(t,0,e),this.rows+=1,this}removeColumn(t){if(l(this,t),1===this.columns)throw new RangeError("A matrix cannot have less than one column");for(let e=0;e<this.rows;e++){const r=new Float64Array(this.columns-1);for(let n=0;n<t;n++)r[n]=this.data[e][n];for(let n=t+1;n<this.columns;n++)r[n-1]=this.data[e][n];this.data[e]=r}return this.columns-=1,this}addColumn(t,e){void 0===e&&(e=t,t=this.columns),l(this,t,!0),e=c(this,e);for(let r=0;r<this.rows;r++){const n=new Float64Array(this.columns+1);let o=0;for(;o<t;o++)n[o]=this.data[r][o];for(n[o++]=e[r];o<this.columns+1;o++)n[o]=this.data[r][o-1];this.data[r]=n}return this.columns+=1,this}}var R,k;k=E,(R=S).prototype.add=function(t){return"number"==typeof t?this.addS(t):this.addM(t)},R.prototype.addS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)+t);return this},R.prototype.addM=function(t){if(t=k.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)+t.get(e,r));return this},R.add=function(t,e){return new k(t).add(e)},R.prototype.sub=function(t){return"number"==typeof t?this.subS(t):this.subM(t)},R.prototype.subS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)-t);return this},R.prototype.subM=function(t){if(t=k.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)-t.get(e,r));return this},R.sub=function(t,e){return new k(t).sub(e)},R.prototype.subtract=R.prototype.sub,R.prototype.subtractS=R.prototype.subS,R.prototype.subtractM=R.prototype.subM,R.subtract=R.sub,R.prototype.mul=function(t){return"number"==typeof t?this.mulS(t):this.mulM(t)},R.prototype.mulS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)*t);return this},R.prototype.mulM=function(t){if(t=k.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)*t.get(e,r));return this},R.mul=function(t,e){return new k(t).mul(e)},R.prototype.multiply=R.prototype.mul,R.prototype.multiplyS=R.prototype.mulS,R.prototype.multiplyM=R.prototype.mulM,R.multiply=R.mul,R.prototype.div=function(t){return"number"==typeof t?this.divS(t):this.divM(t)},R.prototype.divS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)/t);return this},R.prototype.divM=function(t){if(t=k.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)/t.get(e,r));return this},R.div=function(t,e){return new k(t).div(e)},R.prototype.divide=R.prototype.div,R.prototype.divideS=R.prototype.divS,R.prototype.divideM=R.prototype.divM,R.divide=R.div,R.prototype.mod=function(t){return"number"==typeof t?this.modS(t):this.modM(t)},R.prototype.modS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)%t);return this},R.prototype.modM=function(t){if(t=k.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)%t.get(e,r));return this},R.mod=function(t,e){return new k(t).mod(e)},R.prototype.modulus=R.prototype.mod,R.prototype.modulusS=R.prototype.modS,R.prototype.modulusM=R.prototype.modM,R.modulus=R.mod,R.prototype.and=function(t){return"number"==typeof t?this.andS(t):this.andM(t)},R.prototype.andS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)&t);return this},R.prototype.andM=function(t){if(t=k.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)&t.get(e,r));return this},R.and=function(t,e){return new k(t).and(e)},R.prototype.or=function(t){return"number"==typeof t?this.orS(t):this.orM(t)},R.prototype.orS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)|t);return this},R.prototype.orM=function(t){if(t=k.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)|t.get(e,r));return this},R.or=function(t,e){return new k(t).or(e)},R.prototype.xor=function(t){return"number"==typeof t?this.xorS(t):this.xorM(t)},R.prototype.xorS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)^t);return this},R.prototype.xorM=function(t){if(t=k.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)^t.get(e,r));return this},R.xor=function(t,e){return new k(t).xor(e)},R.prototype.leftShift=function(t){return"number"==typeof t?this.leftShiftS(t):this.leftShiftM(t)},R.prototype.leftShiftS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)<<t);return this},R.prototype.leftShiftM=function(t){if(t=k.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)<<t.get(e,r));return this},R.leftShift=function(t,e){return new k(t).leftShift(e)},R.prototype.signPropagatingRightShift=function(t){return"number"==typeof t?this.signPropagatingRightShiftS(t):this.signPropagatingRightShiftM(t)},R.prototype.signPropagatingRightShiftS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)>>t);return this},R.prototype.signPropagatingRightShiftM=function(t){if(t=k.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)>>t.get(e,r));return this},R.signPropagatingRightShift=function(t,e){return new k(t).signPropagatingRightShift(e)},R.prototype.rightShift=function(t){return"number"==typeof t?this.rightShiftS(t):this.rightShiftM(t)},R.prototype.rightShiftS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)>>>t);return this},R.prototype.rightShiftM=function(t){if(t=k.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)>>>t.get(e,r));return this},R.rightShift=function(t,e){return new k(t).rightShift(e)},R.prototype.zeroFillRightShift=R.prototype.rightShift,R.prototype.zeroFillRightShiftS=R.prototype.rightShiftS,R.prototype.zeroFillRightShiftM=R.prototype.rightShiftM,R.zeroFillRightShift=R.rightShift,R.prototype.not=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,~this.get(t,e));return this},R.not=function(t){return new k(t).not()},R.prototype.abs=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.abs(this.get(t,e)));return this},R.abs=function(t){return new k(t).abs()},R.prototype.acos=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.acos(this.get(t,e)));return this},R.acos=function(t){return new k(t).acos()},R.prototype.acosh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.acosh(this.get(t,e)));return this},R.acosh=function(t){return new k(t).acosh()},R.prototype.asin=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.asin(this.get(t,e)));return this},R.asin=function(t){return new k(t).asin()},R.prototype.asinh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.asinh(this.get(t,e)));return this},R.asinh=function(t){return new k(t).asinh()},R.prototype.atan=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.atan(this.get(t,e)));return this},R.atan=function(t){return new k(t).atan()},R.prototype.atanh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.atanh(this.get(t,e)));return this},R.atanh=function(t){return new k(t).atanh()},R.prototype.cbrt=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.cbrt(this.get(t,e)));return this},R.cbrt=function(t){return new k(t).cbrt()},R.prototype.ceil=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.ceil(this.get(t,e)));return this},R.ceil=function(t){return new k(t).ceil()},R.prototype.clz32=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.clz32(this.get(t,e)));return this},R.clz32=function(t){return new k(t).clz32()},R.prototype.cos=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.cos(this.get(t,e)));return this},R.cos=function(t){return new k(t).cos()},R.prototype.cosh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.cosh(this.get(t,e)));return this},R.cosh=function(t){return new k(t).cosh()},R.prototype.exp=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.exp(this.get(t,e)));return this},R.exp=function(t){return new k(t).exp()},R.prototype.expm1=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.expm1(this.get(t,e)));return this},R.expm1=function(t){return new k(t).expm1()},R.prototype.floor=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.floor(this.get(t,e)));return this},R.floor=function(t){return new k(t).floor()},R.prototype.fround=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.fround(this.get(t,e)));return this},R.fround=function(t){return new k(t).fround()},R.prototype.log=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.log(this.get(t,e)));return this},R.log=function(t){return new k(t).log()},R.prototype.log1p=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.log1p(this.get(t,e)));return this},R.log1p=function(t){return new k(t).log1p()},R.prototype.log10=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.log10(this.get(t,e)));return this},R.log10=function(t){return new k(t).log10()},R.prototype.log2=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.log2(this.get(t,e)));return this},R.log2=function(t){return new k(t).log2()},R.prototype.round=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.round(this.get(t,e)));return this},R.round=function(t){return new k(t).round()},R.prototype.sign=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.sign(this.get(t,e)));return this},R.sign=function(t){return new k(t).sign()},R.prototype.sin=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.sin(this.get(t,e)));return this},R.sin=function(t){return new k(t).sin()},R.prototype.sinh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.sinh(this.get(t,e)));return this},R.sinh=function(t){return new k(t).sinh()},R.prototype.sqrt=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.sqrt(this.get(t,e)));return this},R.sqrt=function(t){return new k(t).sqrt()},R.prototype.tan=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.tan(this.get(t,e)));return this},R.tan=function(t){return new k(t).tan()},R.prototype.tanh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.tanh(this.get(t,e)));return this},R.tanh=function(t){return new k(t).tanh()},R.prototype.trunc=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.trunc(this.get(t,e)));return this},R.trunc=function(t){return new k(t).trunc()},R.pow=function(t,e){return new k(t).pow(e)},R.prototype.pow=function(t){return"number"==typeof t?this.powS(t):this.powM(t)},R.prototype.powS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,Math.pow(this.get(e,r),t));return this},R.prototype.powM=function(t){if(t=k.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,Math.pow(this.get(e,r),t.get(e,r)));return this};class z extends S{constructor(t){super(),this.data=t,this.rows=t.length,this.columns=t[0].length}set(t,e,r){return this.data[t][e]=r,this}get(t,e){return this.data[t][e]}}class N{constructor(t){let e,r,n,o,i,s,a,h,u,l=(t=z.checkMatrix(t)).clone(),f=l.rows,c=l.columns,m=new Float64Array(f),p=1;for(e=0;e<f;e++)m[e]=e;for(h=new Float64Array(f),r=0;r<c;r++){for(e=0;e<f;e++)h[e]=l.get(e,r);for(e=0;e<f;e++){for(u=Math.min(e,r),i=0,n=0;n<u;n++)i+=l.get(e,n)*h[n];h[e]-=i,l.set(e,r,h[e])}for(o=r,e=r+1;e<f;e++)Math.abs(h[e])>Math.abs(h[o])&&(o=e);if(o!==r){for(n=0;n<c;n++)s=l.get(o,n),l.set(o,n,l.get(r,n)),l.set(r,n,s);a=m[o],m[o]=m[r],m[r]=a,p=-p}if(r<f&&0!==l.get(r,r))for(e=r+1;e<f;e++)l.set(e,r,l.get(e,r)/l.get(r,r))}this.LU=l,this.pivotVector=m,this.pivotSign=p}isSingular(){let t=this.LU,e=t.columns;for(let r=0;r<e;r++)if(0===t.get(r,r))return!0;return!1}solve(t){t=E.checkMatrix(t);let e=this.LU;if(e.rows!==t.rows)throw new Error("Invalid matrix dimensions");if(this.isSingular())throw new Error("LU matrix is singular");let r,n,o,i=t.columns,s=t.subMatrixRow(this.pivotVector,0,i-1),a=e.columns;for(o=0;o<a;o++)for(r=o+1;r<a;r++)for(n=0;n<i;n++)s.set(r,n,s.get(r,n)-s.get(o,n)*e.get(r,o));for(o=a-1;o>=0;o--){for(n=0;n<i;n++)s.set(o,n,s.get(o,n)/e.get(o,o));for(r=0;r<o;r++)for(n=0;n<i;n++)s.set(r,n,s.get(r,n)-s.get(o,n)*e.get(r,o))}return s}get determinant(){let t=this.LU;if(!t.isSquare())throw new Error("Matrix must be square");let e=this.pivotSign,r=t.columns;for(let n=0;n<r;n++)e*=t.get(n,n);return e}get lowerTriangularMatrix(){let t=this.LU,e=t.rows,r=t.columns,n=new E(e,r);for(let o=0;o<e;o++)for(let e=0;e<r;e++)o>e?n.set(o,e,t.get(o,e)):o===e?n.set(o,e,1):n.set(o,e,0);return n}get upperTriangularMatrix(){let t=this.LU,e=t.rows,r=t.columns,n=new E(e,r);for(let o=0;o<e;o++)for(let e=0;e<r;e++)o<=e?n.set(o,e,t.get(o,e)):n.set(o,e,0);return n}get pivotPermutationVector(){return Array.from(this.pivotVector)}}function A(t,e){let r=0;return Math.abs(t)>Math.abs(e)?(r=e/t,Math.abs(t)*Math.sqrt(1+r*r)):0!==e?(r=t/e,Math.abs(e)*Math.sqrt(1+r*r)):0}class _{constructor(t){let e,r,n,o,i=(t=z.checkMatrix(t)).clone(),s=t.rows,a=t.columns,h=new Float64Array(a);for(n=0;n<a;n++){let t=0;for(e=n;e<s;e++)t=A(t,i.get(e,n));if(0!==t){for(i.get(n,n)<0&&(t=-t),e=n;e<s;e++)i.set(e,n,i.get(e,n)/t);for(i.set(n,n,i.get(n,n)+1),r=n+1;r<a;r++){for(o=0,e=n;e<s;e++)o+=i.get(e,n)*i.get(e,r);for(o=-o/i.get(n,n),e=n;e<s;e++)i.set(e,r,i.get(e,r)+o*i.get(e,n))}}h[n]=-t}this.QR=i,this.Rdiag=h}solve(t){t=E.checkMatrix(t);let e=this.QR,r=e.rows;if(t.rows!==r)throw new Error("Matrix row dimensions must agree");if(!this.isFullRank())throw new Error("Matrix is rank deficient");let n,o,i,s,a=t.columns,h=t.clone(),u=e.columns;for(i=0;i<u;i++)for(o=0;o<a;o++){for(s=0,n=i;n<r;n++)s+=e.get(n,i)*h.get(n,o);for(s=-s/e.get(i,i),n=i;n<r;n++)h.set(n,o,h.get(n,o)+s*e.get(n,i))}for(i=u-1;i>=0;i--){for(o=0;o<a;o++)h.set(i,o,h.get(i,o)/this.Rdiag[i]);for(n=0;n<i;n++)for(o=0;o<a;o++)h.set(n,o,h.get(n,o)-h.get(i,o)*e.get(n,i))}return h.subMatrix(0,u-1,0,a-1)}isFullRank(){let t=this.QR.columns;for(let e=0;e<t;e++)if(0===this.Rdiag[e])return!1;return!0}get upperTriangularMatrix(){let t,e,r=this.QR,n=r.columns,o=new E(n,n);for(t=0;t<n;t++)for(e=0;e<n;e++)t<e?o.set(t,e,r.get(t,e)):t===e?o.set(t,e,this.Rdiag[t]):o.set(t,e,0);return o}get orthogonalMatrix(){let t,e,r,n,o=this.QR,i=o.rows,s=o.columns,a=new E(i,s);for(r=s-1;r>=0;r--){for(t=0;t<i;t++)a.set(t,r,0);for(a.set(r,r,1),e=r;e<s;e++)if(0!==o.get(r,r)){for(n=0,t=r;t<i;t++)n+=o.get(t,r)*a.get(t,e);for(n=-n/o.get(r,r),t=r;t<i;t++)a.set(t,e,a.get(t,e)+n*o.get(t,r))}}return a}}class P{constructor(t,e={}){let r=(t=z.checkMatrix(t)).rows,n=t.columns;const{computeLeftSingularVectors:o=!0,computeRightSingularVectors:i=!0,autoTranspose:s=!1}=e;let a,h=Boolean(o),u=Boolean(i),l=!1;if(r<n)if(s){r=(a=t.transpose()).rows,n=a.columns,l=!0;let e=h;h=u,u=e}else a=t.clone(),console.warn("Computing SVD on a matrix with more columns than rows. 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r=t+1;r<n;r++)d[e]+=w[r]*a.get(e,r);for(let e=t+1;e<n;e++){let n=-w[e]/w[t+1];for(let o=t+1;o<r;o++)a.set(o,e,a.get(o,e)+n*d[o])}}if(u)for(let e=t+1;e<n;e++)g.set(e,t,w[e])}}let S=Math.min(n,r+1);if(v<n&&(m[v]=a.get(v,v)),r<S&&(m[S-1]=0),b+1<S&&(w[b]=a.get(b,S-1)),w[S-1]=0,h){for(let t=v;t<f;t++){for(let e=0;e<r;e++)p.set(e,t,0);p.set(t,t,1)}for(let t=v-1;t>=0;t--)if(0!==m[t]){for(let e=t+1;e<f;e++){let n=0;for(let o=t;o<r;o++)n+=p.get(o,t)*p.get(o,e);n=-n/p.get(t,t);for(let o=t;o<r;o++)p.set(o,e,p.get(o,e)+n*p.get(o,t))}for(let e=t;e<r;e++)p.set(e,t,-p.get(e,t));p.set(t,t,1+p.get(t,t));for(let e=0;e<t-1;e++)p.set(e,t,0)}else{for(let e=0;e<r;e++)p.set(e,t,0);p.set(t,t,1)}}if(u)for(let t=n-1;t>=0;t--){if(t<b&&0!==w[t])for(let e=t+1;e<n;e++){let r=0;for(let o=t+1;o<n;o++)r+=g.get(o,t)*g.get(o,e);r=-r/g.get(t+1,t);for(let o=t+1;o<n;o++)g.set(o,e,g.get(o,e)+r*g.get(o,t))}for(let e=0;e<n;e++)g.set(e,t,0);g.set(t,t,1)}let x=S-1,R=0,k=Number.EPSILON;for(;S>0;){let t,e;for(t=S-2;t>=-1&&-1!==t;t--){const e=Number.MIN_VALUE+k*Math.abs(m[t]+Math.abs(m[t+1]));if(Math.abs(w[t])<=e||Number.isNaN(w[t])){w[t]=0;break}}if(t===S-2)e=4;else{let r;for(r=S-1;r>=t&&r!==t;r--){let e=(r!==S?Math.abs(w[r]):0)+(r!==t+1?Math.abs(w[r-1]):0);if(Math.abs(m[r])<=k*e){m[r]=0;break}}r===t?e=3:r===S-1?e=1:(e=2,t=r)}switch(t++,e){case 1:{let e=w[S-2];w[S-2]=0;for(let r=S-2;r>=t;r--){let o=A(m[r],e),i=m[r]/o,s=e/o;if(m[r]=o,r!==t&&(e=-s*w[r-1],w[r-1]=i*w[r-1]),u)for(let t=0;t<n;t++)o=i*g.get(t,r)+s*g.get(t,S-1),g.set(t,S-1,-s*g.get(t,r)+i*g.get(t,S-1)),g.set(t,r,o)}break}case 2:{let e=w[t-1];w[t-1]=0;for(let n=t;n<S;n++){let o=A(m[n],e),i=m[n]/o,s=e/o;if(m[n]=o,e=-s*w[n],w[n]=i*w[n],h)for(let e=0;e<r;e++)o=i*p.get(e,n)+s*p.get(e,t-1),p.set(e,t-1,-s*p.get(e,n)+i*p.get(e,t-1)),p.set(e,n,o)}break}case 3:{const e=Math.max(Math.abs(m[S-1]),Math.abs(m[S-2]),Math.abs(w[S-2]),Math.abs(m[t]),Math.abs(w[t])),o=m[S-1]/e,i=m[S-2]/e,s=w[S-2]/e,a=m[t]/e,l=w[t]/e,f=((i+o)*(i-o)+s*s)/2,c=o*s*(o*s);let d=0;0===f&&0===c||(d=c/(f+(d=f<0?0-Math.sqrt(f*f+c):Math.sqrt(f*f+c))));let y=(a+o)*(a-o)+d,v=a*l;for(let e=t;e<S-1;e++){let o=A(y,v);0===o&&(o=Number.MIN_VALUE);let i=y/o,s=v/o;if(e!==t&&(w[e-1]=o),y=i*m[e]+s*w[e],w[e]=i*w[e]-s*m[e],v=s*m[e+1],m[e+1]=i*m[e+1],u)for(let t=0;t<n;t++)o=i*g.get(t,e)+s*g.get(t,e+1),g.set(t,e+1,-s*g.get(t,e)+i*g.get(t,e+1)),g.set(t,e,o);if(0===(o=A(y,v))&&(o=Number.MIN_VALUE),i=y/o,s=v/o,m[e]=o,y=i*w[e]+s*m[e+1],m[e+1]=-s*w[e]+i*m[e+1],v=s*w[e+1],w[e+1]=i*w[e+1],h&&e<r-1)for(let t=0;t<r;t++)o=i*p.get(t,e)+s*p.get(t,e+1),p.set(t,e+1,-s*p.get(t,e)+i*p.get(t,e+1)),p.set(t,e,o)}w[S-2]=y,R+=1;break}case 4:if(m[t]<=0&&(m[t]=m[t]<0?-m[t]:0,u))for(let e=0;e<=x;e++)g.set(e,t,-g.get(e,t));for(;t<x&&!(m[t]>=m[t+1]);){let e=m[t];if(m[t]=m[t+1],m[t+1]=e,u&&t<n-1)for(let 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c.SparseMatrix(y,v,b,M),x=c.normalize(S,"l1"),E=c.getCSR(x),k=t.length,N=R(g.reshape2d(E.indices,k,this.nNeighbors),g.reshape2d(E.values,k,this.nNeighbors),this.embedding),z=this.nEpochs?this.nEpochs/3:S.nRows<=1e4?100:30,_=S.getValues().reduce((function(t,e){return e>t?e:t}),0);S=S.map((function(t){return t<_/z?0:t})),S=c.eliminateZeros(S);var A=this.makeEpochsPerSample(S.getValues(),z),P=S.getRows(),j=S.getCols();return this.assignOptimizationStateParameters({headEmbedding:N,tailEmbedding:this.embedding,head:P,tail:j,currentEpoch:0,nEpochs:z,nVertices:S.getDims()[1],epochsPerSample:A}),this.prepareForOptimizationLoop(),this.optimizeLayout()},t.prototype.processGraphForSupervisedProjection=function(){var t=this.Y,e=this.X;if(t){if(t.length!==e.length)throw new Error("Length of X and y must be equal");if("categorical"===this.targetMetric){var r=this.targetWeight<1?1/(1-this.targetWeight)*2.5:1e12;this.graph=this.categoricalSimplicialSetIntersection(this.graph,t,r)}}},t.prototype.step=function(){var t=this.optimizationState.currentEpoch;return t<this.getNEpochs()&&this.optimizeLayoutStep(t),this.optimizationState.currentEpoch},t.prototype.getEmbedding=function(){return this.embedding},t.prototype.nearestNeighbors=function(t){var e,r=this.distanceFn,n=this.nNeighbors,o=m.makeNNDescent(r,this.random),i=5+Math.floor(.5===(e=Math.pow(t.length,.5)/20)?0:Math.round(e)),s=Math.max(5,Math.floor(Math.round(function(t){return Math.log(t)/Math.log(2)}(t.length))));this.rpForest=p.makeForest(t,n,i,this.random);var a=o(t,p.makeLeafArray(this.rpForest),n,s);return{knnIndices:a.indices,knnDistances:a.weights}},t.prototype.fuzzySimplicialSet=function(t,e,r){void 0===r&&(r=1);var n=this.knnIndices,o=void 0===n?[]:n,i=this.knnDistances,s=void 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b=t[h][v]-s[h];y+=b>0?Math.exp(-b/f):1}if(Math.abs(y-i)<1e-5)break;y>i?f=(u+(l=f))/2:(u=f,l===1/0?f*=2:f=(u+l)/2)}if(a[h]=f,s[h]>0){var M=g.mean(c);a[h]<.001*M&&(a[h]=.001*M)}else{var S=g.mean(t.map(g.mean));a[h]<.001*S&&(a[h]=.001*S)}}return{sigmas:a,rhos:s}},t.prototype.computeMembershipStrengths=function(t,e,r,n){for(var o=t.length,i=t[0].length,s=g.zeros(o*i),a=g.zeros(o*i),h=g.zeros(o*i),u=0;u<o;u++)for(var l=0;l<i;l++){var f=0;-1!==t[u][l]&&(f=t[u][l]===u?0:e[u][l]-n[u]<=0?1:Math.exp(-(e[u][l]-n[u])/r[u]),s[u*i+l]=u,a[u*i+l]=t[u][l],h[u*i+l]=f)}return{rows:s,cols:a,vals:h}},t.prototype.initializeSimplicialSetEmbedding=function(){for(var t=this,e=this.getNEpochs(),r=this.nComponents,n=this.graph.getValues(),o=0,i=0;i<n.length;i++){var s=n[i];o<n[i]&&(o=s)}var a=this.graph.map((function(t){return t<o/e?0:t}));this.embedding=g.zeros(a.nRows).map((function(){return g.zeros(r).map((function(){return 20*g.tauRand(t.random)-10}))}));var h=[],u=[],l=[],f=a.getAll();for(i=0;i<f.length;i++){var c=f[i];c.value&&(h.push(c.value),l.push(c.row),u.push(c.col))}return{head:u,tail:l,epochsPerSample:this.makeEpochsPerSample(h,e)}},t.prototype.makeEpochsPerSample=function(t,e){var r=g.filled(t.length,-1),n=g.max(t),o=t.map((function(t){return t/n*e}));return o.forEach((function(t,n){t>0&&(r[n]=e/o[n])})),r},t.prototype.assignOptimizationStateParameters=function(t){Object.assign(this.optimizationState,t)},t.prototype.prepareForOptimizationLoop=function(){var t=this.repulsionStrength,e=this.learningRate,r=this.negativeSampleRate,n=this.optimizationState,o=n.epochsPerSample,i=n.headEmbedding,s=n.tailEmbedding,a=i[0].length,h=i.length===s.length,l=o.map((function(t){return t/r})),f=u(l),c=u(o);this.assignOptimizationStateParameters({epochOfNextSample:c,epochOfNextNegativeSample:f,epochsPerNegativeSample:l,moveOther:h,initialAlpha:e,alpha:e,gamma:t,dim:a})},t.prototype.initializeOptimization=function(){var 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o}strassen2x2(t){t=P.checkMatrix(t);let e=new P(2,2);const r=this.get(0,0),n=t.get(0,0),o=this.get(0,1),i=t.get(0,1),s=this.get(1,0),a=t.get(1,0),h=this.get(1,1),u=t.get(1,1),l=(r+h)*(n+u),f=(s+h)*n,c=r*(i-u),m=h*(a-n),p=(r+o)*u,g=l+m-p+(o-h)*(a+u),w=c+p,d=f+m,y=l-f+c+(s-r)*(n+i);return e.set(0,0,g),e.set(0,1,w),e.set(1,0,d),e.set(1,1,y),e}strassen3x3(t){t=P.checkMatrix(t);let e=new P(3,3);const r=this.get(0,0),n=this.get(0,1),o=this.get(0,2),i=this.get(1,0),s=this.get(1,1),a=this.get(1,2),h=this.get(2,0),u=this.get(2,1),l=this.get(2,2),f=t.get(0,0),c=t.get(0,1),m=t.get(0,2),p=t.get(1,0),g=t.get(1,1),w=t.get(1,2),d=t.get(2,0),y=t.get(2,1),v=t.get(2,2),b=(r-i)*(-c+g),M=(-r+i+s)*(f-c+g),S=(i+s)*(-f+c),x=r*f,E=(-r+h+u)*(f-m+w),R=(-r+h)*(m-w),k=(h+u)*(-f+m),N=(-o+u+l)*(g+d-y),z=(o-l)*(g-y),_=o*d,A=(u+l)*(-d+y),j=(-o+s+a)*(w+d-v),O=(o-a)*(w-v),C=(s+a)*(-d+v),T=x+_+n*p,I=(r+n+o-i-s-u-l)*g+M+S+x+N+_+A,F=x+E+k+(r+n+o-s-a-h-u)*w+_+j+C,V=b+s*(-f+c+p-g-w-d+v)+M+x+_+j+O,D=b+M+S+x+a*y,q=_+j+O+C+i*m,L=x+E+R+u*(-f+m+p-g-w-d+y)+N+z+_,U=N+z+_+A+h*c,$=x+E+R+k+l*v;return e.set(0,0,T),e.set(0,1,I),e.set(0,2,F),e.set(1,0,V),e.set(1,1,D),e.set(1,2,q),e.set(2,0,L),e.set(2,1,U),e.set(2,2,$),e}mmulStrassen(t){t=P.checkMatrix(t);let e=this.clone(),r=e.rows,n=e.columns,o=t.rows,i=t.columns;function s(t,e,r){let n=t.rows,o=t.columns;if(n===e&&o===r)return t;{let n=_.zeros(e,r);return n=n.setSubMatrix(t,0,0),n}}n!==o&&console.warn(`Multiplying ${r} x ${n} and ${o} x ${i} matrix: dimensions do not match.`);let a=Math.max(r,o),h=Math.max(n,i);return e=s(e,a,h),function t(e,r,n,o){if(n<=512||o<=512)return e.mmul(r);n%2==1&&o%2==1?(e=s(e,n+1,o+1),r=s(r,n+1,o+1)):n%2==1?(e=s(e,n+1,o),r=s(r,n+1,o)):o%2==1&&(e=s(e,n,o+1),r=s(r,n,o+1));let i=parseInt(e.rows/2,10),a=parseInt(e.columns/2,10),h=e.subMatrix(0,i-1,0,a-1),u=r.subMatrix(0,i-1,0,a-1),l=e.subMatrix(0,i-1,a,e.columns-1),f=r.subMatrix(0,i-1,a,r.columns-1),c=e.subMatrix(i,e.rows-1,0,a-1),m=r.subMatrix(i,r.rows-1,0,a-1),p=e.subMatrix(i,e.rows-1,a,e.columns-1),g=r.subMatrix(i,r.rows-1,a,r.columns-1),w=t(_.add(h,p),_.add(u,g),i,a),d=t(_.add(c,p),u,i,a),y=t(h,_.sub(f,g),i,a),v=t(p,_.sub(m,u),i,a),b=t(_.add(h,l),g,i,a),M=t(_.sub(c,h),_.add(u,f),i,a),S=t(_.sub(l,p),_.add(m,g),i,a),x=_.add(w,v);x.sub(b),x.add(S);let E=_.add(y,b),R=_.add(d,v),k=_.sub(w,d);k.add(y),k.add(M);let N=_.zeros(2*x.rows,2*x.columns);return N=N.setSubMatrix(x,0,0),N=N.setSubMatrix(E,x.rows,0),N=N.setSubMatrix(R,0,x.columns),N=N.setSubMatrix(k,x.rows,x.columns),N.subMatrix(0,n-1,0,o-1)}(e,t=s(t,a,h),a,h)}scaleRows(t={}){if("object"!=typeof t)throw new TypeError("options must be an object");const{min:e=0,max:r=1}=t;if(!Number.isFinite(e))throw new TypeError("min must be a number");if(!Number.isFinite(r))throw new TypeError("max must be a number");if(e>=r)throw new RangeError("min must be smaller than max");let n=new P(this.rows,this.columns);for(let t=0;t<this.rows;t++){const o=this.getRow(t);o.length>0&&p(o,{min:e,max:r,output:o}),n.setRow(t,o)}return n}scaleColumns(t={}){if("object"!=typeof t)throw new TypeError("options must be an object");const{min:e=0,max:r=1}=t;if(!Number.isFinite(e))throw new TypeError("min must be a number");if(!Number.isFinite(r))throw new TypeError("max must be a number");if(e>=r)throw new RangeError("min must be smaller than max");let n=new P(this.rows,this.columns);for(let t=0;t<this.columns;t++){const o=this.getColumn(t);o.length&&p(o,{min:e,max:r,output:o}),n.setColumn(t,o)}return n}flipRows(){const t=Math.ceil(this.columns/2);for(let e=0;e<this.rows;e++)for(let r=0;r<t;r++){let t=this.get(e,r),n=this.get(e,this.columns-1-r);this.set(e,r,n),this.set(e,this.columns-1-r,t)}return this}flipColumns(){const t=Math.ceil(this.rows/2);for(let e=0;e<this.columns;e++)for(let r=0;r<t;r++){let t=this.get(r,e),n=this.get(this.rows-1-r,e);this.set(r,e,n),this.set(this.rows-1-r,e,t)}return this}kroneckerProduct(t){t=P.checkMatrix(t);let e=this.rows,r=this.columns,n=t.rows,o=t.columns,i=new P(e*n,r*o);for(let s=0;s<e;s++)for(let e=0;e<r;e++)for(let r=0;r<n;r++)for(let a=0;a<o;a++)i.set(n*s+r,o*e+a,this.get(s,e)*t.get(r,a));return i}kroneckerSum(t){if(t=P.checkMatrix(t),!this.isSquare()||!t.isSquare())throw new Error("Kronecker Sum needs two Square Matrices");let e=this.rows,r=t.rows,n=this.kroneckerProduct(P.eye(r,r)),o=P.eye(e,e).kroneckerProduct(t);return n.add(o)}transpose(){let t=new P(this.columns,this.rows);for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)t.set(r,e,this.get(e,r));return t}sortRows(t=A){for(let e=0;e<this.rows;e++)this.setRow(e,this.getRow(e).sort(t));return this}sortColumns(t=A){for(let e=0;e<this.columns;e++)this.setColumn(e,this.getColumn(e).sort(t));return this}subMatrix(t,e,r,n){R(this,t,e,r,n);let o=new P(e-t+1,n-r+1);for(let i=t;i<=e;i++)for(let e=r;e<=n;e++)o.set(i-t,e-r,this.get(i,e));return o}subMatrixRow(t,e,r){if(void 0===e&&(e=0),void 0===r&&(r=this.columns-1),e>r||e<0||e>=this.columns||r<0||r>=this.columns)throw new RangeError("Argument out of range");let n=new P(t.length,r-e+1);for(let o=0;o<t.length;o++)for(let i=e;i<=r;i++){if(t[o]<0||t[o]>=this.rows)throw new RangeError("Row index out of range: "+t[o]);n.set(o,i-e,this.get(t[o],i))}return n}subMatrixColumn(t,e,r){if(void 0===e&&(e=0),void 0===r&&(r=this.rows-1),e>r||e<0||e>=this.rows||r<0||r>=this.rows)throw new RangeError("Argument out of range");let n=new P(r-e+1,t.length);for(let o=0;o<t.length;o++)for(let i=e;i<=r;i++){if(t[o]<0||t[o]>=this.columns)throw new RangeError("Column index out of range: "+t[o]);n.set(i-e,o,this.get(i,t[o]))}return n}setSubMatrix(t,e,r){if((t=P.checkMatrix(t)).isEmpty())return this;R(this,e,e+t.rows-1,r,r+t.columns-1);for(let n=0;n<t.rows;n++)for(let o=0;o<t.columns;o++)this.set(e+n,r+o,t.get(n,o));return this}selection(t,e){let r=function(t,e,r){return{row:x(t,e),column:E(t,r)}}(this,t,e),n=new P(t.length,e.length);for(let t=0;t<r.row.length;t++){let e=r.row[t];for(let o=0;o<r.column.length;o++){let i=r.column[o];n.set(t,o,this.get(e,i))}}return n}trace(){let t=Math.min(this.rows,this.columns),e=0;for(let r=0;r<t;r++)e+=this.get(r,r);return e}clone(){let t=new P(this.rows,this.columns);for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)t.set(e,r,this.get(e,r));return t}sum(t){switch(t){case"row":return function(t){let e=k(t.rows);for(let r=0;r<t.rows;++r)for(let n=0;n<t.columns;++n)e[r]+=t.get(r,n);return e}(this);case"column":return function(t){let e=k(t.columns);for(let r=0;r<t.rows;++r)for(let n=0;n<t.columns;++n)e[n]+=t.get(r,n);return e}(this);case void 0:return function(t){let e=0;for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)e+=t.get(r,n);return e}(this);default:throw new Error("invalid option: "+t)}}product(t){switch(t){case"row":return function(t){let e=k(t.rows,1);for(let r=0;r<t.rows;++r)for(let n=0;n<t.columns;++n)e[r]*=t.get(r,n);return e}(this);case"column":return function(t){let e=k(t.columns,1);for(let r=0;r<t.rows;++r)for(let n=0;n<t.columns;++n)e[n]*=t.get(r,n);return e}(this);case void 0:return function(t){let e=1;for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)e*=t.get(r,n);return e}(this);default:throw new Error("invalid option: "+t)}}mean(t){const e=this.sum(t);switch(t){case"row":for(let t=0;t<this.rows;t++)e[t]/=this.columns;return e;case"column":for(let t=0;t<this.columns;t++)e[t]/=this.rows;return e;case void 0:return e/this.size;default:throw new Error("invalid option: "+t)}}variance(t,e={}){if("object"==typeof t&&(e=t,t=void 0),"object"!=typeof e)throw new TypeError("options must be an object");const{unbiased:r=!0,mean:n=this.mean(t)}=e;if("boolean"!=typeof r)throw new TypeError("unbiased must be a boolean");switch(t){case"row":if(!Array.isArray(n))throw new TypeError("mean must be an array");return function(t,e,r){const n=t.rows,o=t.columns,i=[];for(let s=0;s<n;s++){let n=0,a=0,h=0;for(let e=0;e<o;e++)h=t.get(s,e)-r[s],n+=h,a+=h*h;e?i.push((a-n*n/o)/(o-1)):i.push((a-n*n/o)/o)}return i}(this,r,n);case"column":if(!Array.isArray(n))throw new TypeError("mean must be an array");return function(t,e,r){const n=t.rows,o=t.columns,i=[];for(let s=0;s<o;s++){let o=0,a=0,h=0;for(let e=0;e<n;e++)h=t.get(e,s)-r[s],o+=h,a+=h*h;e?i.push((a-o*o/n)/(n-1)):i.push((a-o*o/n)/n)}return i}(this,r,n);case void 0:if("number"!=typeof n)throw new TypeError("mean must be a number");return function(t,e,r){const n=t.rows,o=t.columns,i=n*o;let s=0,a=0,h=0;for(let e=0;e<n;e++)for(let n=0;n<o;n++)h=t.get(e,n)-r,s+=h,a+=h*h;return e?(a-s*s/i)/(i-1):(a-s*s/i)/i}(this,r,n);default:throw new Error("invalid option: "+t)}}standardDeviation(t,e){"object"==typeof t&&(e=t,t=void 0);const r=this.variance(t,e);if(void 0===t)return Math.sqrt(r);for(let t=0;t<r.length;t++)r[t]=Math.sqrt(r[t]);return r}center(t,e={}){if("object"==typeof t&&(e=t,t=void 0),"object"!=typeof e)throw new TypeError("options must be an object");const{center:r=this.mean(t)}=e;switch(t){case"row":if(!Array.isArray(r))throw new TypeError("center must be an array");return function(t,e){for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)t.set(r,n,t.get(r,n)-e[r])}(this,r),this;case"column":if(!Array.isArray(r))throw new TypeError("center must be an array");return function(t,e){for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)t.set(r,n,t.get(r,n)-e[n])}(this,r),this;case void 0:if("number"!=typeof r)throw new TypeError("center must be a number");return function(t,e){for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)t.set(r,n,t.get(r,n)-e)}(this,r),this;default:throw new Error("invalid option: "+t)}}scale(t,e={}){if("object"==typeof t&&(e=t,t=void 0),"object"!=typeof e)throw new TypeError("options must be an object");let r=e.scale;switch(t){case"row":if(void 0===r)r=function(t){const e=[];for(let r=0;r<t.rows;r++){let n=0;for(let e=0;e<t.columns;e++)n+=Math.pow(t.get(r,e),2)/(t.columns-1);e.push(Math.sqrt(n))}return e}(this);else if(!Array.isArray(r))throw new TypeError("scale must be an array");return function(t,e){for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)t.set(r,n,t.get(r,n)/e[r])}(this,r),this;case"column":if(void 0===r)r=function(t){const e=[];for(let r=0;r<t.columns;r++){let n=0;for(let e=0;e<t.rows;e++)n+=Math.pow(t.get(e,r),2)/(t.rows-1);e.push(Math.sqrt(n))}return e}(this);else if(!Array.isArray(r))throw new TypeError("scale must be an array");return function(t,e){for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)t.set(r,n,t.get(r,n)/e[n])}(this,r),this;case void 0:if(void 0===r)r=function(t){const e=t.size-1;let r=0;for(let n=0;n<t.columns;n++)for(let o=0;o<t.rows;o++)r+=Math.pow(t.get(o,n),2)/e;return Math.sqrt(r)}(this);else if("number"!=typeof r)throw new TypeError("scale must be a number");return function(t,e){for(let r=0;r<t.rows;r++)for(let n=0;n<t.columns;n++)t.set(r,n,t.get(r,n)/e)}(this,r),this;default:throw new Error("invalid option: "+t)}}toString(t){return d(this,t)}}function A(t,e){return t-e}_.prototype.klass="Matrix","undefined"!=typeof Symbol&&(_.prototype[Symbol.for("nodejs.util.inspect.custom")]=function(){return d(this)}),_.random=_.rand,_.randomInt=_.randInt,_.diagonal=_.diag,_.prototype.diagonal=_.prototype.diag,_.identity=_.eye,_.prototype.negate=_.prototype.neg,_.prototype.tensorProduct=_.prototype.kroneckerProduct;class P extends _{constructor(t,e){if(super(),P.isMatrix(t))return t.clone();if(Number.isInteger(t)&&t>=0){if(this.data=[],!(Number.isInteger(e)&&e>=0))throw new TypeError("nColumns must be a positive integer");for(let r=0;r<t;r++)this.data.push(new Float64Array(e))}else{if(!Array.isArray(t))throw new TypeError("First argument must be a positive number or an array");{const r=t;if("number"!=typeof(e=(t=r.length)?r[0].length:0))throw new TypeError("Data must be a 2D array with at least one element");this.data=[];for(let n=0;n<t;n++){if(r[n].length!==e)throw new RangeError("Inconsistent array dimensions");this.data.push(Float64Array.from(r[n]))}}}this.rows=t,this.columns=e}set(t,e,r){return this.data[t][e]=r,this}get(t,e){return this.data[t][e]}removeRow(t){return v(this,t),this.data.splice(t,1),this.rows-=1,this}addRow(t,e){return void 0===e&&(e=t,t=this.rows),v(this,t,!0),e=Float64Array.from(M(this,e)),this.data.splice(t,0,e),this.rows+=1,this}removeColumn(t){b(this,t);for(let e=0;e<this.rows;e++){const r=new Float64Array(this.columns-1);for(let n=0;n<t;n++)r[n]=this.data[e][n];for(let n=t+1;n<this.columns;n++)r[n-1]=this.data[e][n];this.data[e]=r}return this.columns-=1,this}addColumn(t,e){void 0===e&&(e=t,t=this.columns),b(this,t,!0),e=S(this,e);for(let r=0;r<this.rows;r++){const n=new Float64Array(this.columns+1);let o=0;for(;o<t;o++)n[o]=this.data[r][o];for(n[o++]=e[r];o<this.columns+1;o++)n[o]=this.data[r][o-1];this.data[r]=n}return this.columns+=1,this}}var j,O;O=P,(j=_).prototype.add=function(t){return"number"==typeof t?this.addS(t):this.addM(t)},j.prototype.addS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)+t);return this},j.prototype.addM=function(t){if(t=O.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)+t.get(e,r));return this},j.add=function(t,e){return new O(t).add(e)},j.prototype.sub=function(t){return"number"==typeof t?this.subS(t):this.subM(t)},j.prototype.subS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)-t);return this},j.prototype.subM=function(t){if(t=O.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)-t.get(e,r));return this},j.sub=function(t,e){return new O(t).sub(e)},j.prototype.subtract=j.prototype.sub,j.prototype.subtractS=j.prototype.subS,j.prototype.subtractM=j.prototype.subM,j.subtract=j.sub,j.prototype.mul=function(t){return"number"==typeof t?this.mulS(t):this.mulM(t)},j.prototype.mulS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)*t);return this},j.prototype.mulM=function(t){if(t=O.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)*t.get(e,r));return this},j.mul=function(t,e){return new O(t).mul(e)},j.prototype.multiply=j.prototype.mul,j.prototype.multiplyS=j.prototype.mulS,j.prototype.multiplyM=j.prototype.mulM,j.multiply=j.mul,j.prototype.div=function(t){return"number"==typeof t?this.divS(t):this.divM(t)},j.prototype.divS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)/t);return this},j.prototype.divM=function(t){if(t=O.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)/t.get(e,r));return this},j.div=function(t,e){return new O(t).div(e)},j.prototype.divide=j.prototype.div,j.prototype.divideS=j.prototype.divS,j.prototype.divideM=j.prototype.divM,j.divide=j.div,j.prototype.mod=function(t){return"number"==typeof t?this.modS(t):this.modM(t)},j.prototype.modS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)%t);return this},j.prototype.modM=function(t){if(t=O.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)%t.get(e,r));return this},j.mod=function(t,e){return new O(t).mod(e)},j.prototype.modulus=j.prototype.mod,j.prototype.modulusS=j.prototype.modS,j.prototype.modulusM=j.prototype.modM,j.modulus=j.mod,j.prototype.and=function(t){return"number"==typeof t?this.andS(t):this.andM(t)},j.prototype.andS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)&t);return this},j.prototype.andM=function(t){if(t=O.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)&t.get(e,r));return this},j.and=function(t,e){return new O(t).and(e)},j.prototype.or=function(t){return"number"==typeof t?this.orS(t):this.orM(t)},j.prototype.orS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)|t);return this},j.prototype.orM=function(t){if(t=O.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)|t.get(e,r));return this},j.or=function(t,e){return new O(t).or(e)},j.prototype.xor=function(t){return"number"==typeof t?this.xorS(t):this.xorM(t)},j.prototype.xorS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)^t);return this},j.prototype.xorM=function(t){if(t=O.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)^t.get(e,r));return this},j.xor=function(t,e){return new O(t).xor(e)},j.prototype.leftShift=function(t){return"number"==typeof t?this.leftShiftS(t):this.leftShiftM(t)},j.prototype.leftShiftS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)<<t);return this},j.prototype.leftShiftM=function(t){if(t=O.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)<<t.get(e,r));return this},j.leftShift=function(t,e){return new O(t).leftShift(e)},j.prototype.signPropagatingRightShift=function(t){return"number"==typeof t?this.signPropagatingRightShiftS(t):this.signPropagatingRightShiftM(t)},j.prototype.signPropagatingRightShiftS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)>>t);return this},j.prototype.signPropagatingRightShiftM=function(t){if(t=O.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)>>t.get(e,r));return this},j.signPropagatingRightShift=function(t,e){return new O(t).signPropagatingRightShift(e)},j.prototype.rightShift=function(t){return"number"==typeof t?this.rightShiftS(t):this.rightShiftM(t)},j.prototype.rightShiftS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)>>>t);return this},j.prototype.rightShiftM=function(t){if(t=O.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,this.get(e,r)>>>t.get(e,r));return this},j.rightShift=function(t,e){return new O(t).rightShift(e)},j.prototype.zeroFillRightShift=j.prototype.rightShift,j.prototype.zeroFillRightShiftS=j.prototype.rightShiftS,j.prototype.zeroFillRightShiftM=j.prototype.rightShiftM,j.zeroFillRightShift=j.rightShift,j.prototype.not=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,~this.get(t,e));return this},j.not=function(t){return new O(t).not()},j.prototype.abs=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.abs(this.get(t,e)));return this},j.abs=function(t){return new O(t).abs()},j.prototype.acos=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.acos(this.get(t,e)));return this},j.acos=function(t){return new O(t).acos()},j.prototype.acosh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.acosh(this.get(t,e)));return this},j.acosh=function(t){return new O(t).acosh()},j.prototype.asin=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.asin(this.get(t,e)));return this},j.asin=function(t){return new O(t).asin()},j.prototype.asinh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.asinh(this.get(t,e)));return this},j.asinh=function(t){return new O(t).asinh()},j.prototype.atan=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.atan(this.get(t,e)));return this},j.atan=function(t){return new O(t).atan()},j.prototype.atanh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.atanh(this.get(t,e)));return this},j.atanh=function(t){return new O(t).atanh()},j.prototype.cbrt=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.cbrt(this.get(t,e)));return this},j.cbrt=function(t){return new O(t).cbrt()},j.prototype.ceil=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.ceil(this.get(t,e)));return this},j.ceil=function(t){return new O(t).ceil()},j.prototype.clz32=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.clz32(this.get(t,e)));return this},j.clz32=function(t){return new O(t).clz32()},j.prototype.cos=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.cos(this.get(t,e)));return this},j.cos=function(t){return new O(t).cos()},j.prototype.cosh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.cosh(this.get(t,e)));return this},j.cosh=function(t){return new O(t).cosh()},j.prototype.exp=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.exp(this.get(t,e)));return this},j.exp=function(t){return new O(t).exp()},j.prototype.expm1=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.expm1(this.get(t,e)));return this},j.expm1=function(t){return new O(t).expm1()},j.prototype.floor=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.floor(this.get(t,e)));return this},j.floor=function(t){return new O(t).floor()},j.prototype.fround=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.fround(this.get(t,e)));return this},j.fround=function(t){return new O(t).fround()},j.prototype.log=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.log(this.get(t,e)));return this},j.log=function(t){return new O(t).log()},j.prototype.log1p=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.log1p(this.get(t,e)));return this},j.log1p=function(t){return new O(t).log1p()},j.prototype.log10=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.log10(this.get(t,e)));return this},j.log10=function(t){return new O(t).log10()},j.prototype.log2=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.log2(this.get(t,e)));return this},j.log2=function(t){return new O(t).log2()},j.prototype.round=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.round(this.get(t,e)));return this},j.round=function(t){return new O(t).round()},j.prototype.sign=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.sign(this.get(t,e)));return this},j.sign=function(t){return new O(t).sign()},j.prototype.sin=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.sin(this.get(t,e)));return this},j.sin=function(t){return new O(t).sin()},j.prototype.sinh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.sinh(this.get(t,e)));return this},j.sinh=function(t){return new O(t).sinh()},j.prototype.sqrt=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.sqrt(this.get(t,e)));return this},j.sqrt=function(t){return new O(t).sqrt()},j.prototype.tan=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.tan(this.get(t,e)));return this},j.tan=function(t){return new O(t).tan()},j.prototype.tanh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.tanh(this.get(t,e)));return this},j.tanh=function(t){return new O(t).tanh()},j.prototype.trunc=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.trunc(this.get(t,e)));return this},j.trunc=function(t){return new O(t).trunc()},j.pow=function(t,e){return new O(t).pow(e)},j.prototype.pow=function(t){return"number"==typeof t?this.powS(t):this.powM(t)},j.prototype.powS=function(t){for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,Math.pow(this.get(e,r),t));return this},j.prototype.powM=function(t){if(t=O.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError("Matrices dimensions must be equal");for(let e=0;e<this.rows;e++)for(let r=0;r<this.columns;r++)this.set(e,r,Math.pow(this.get(e,r),t.get(e,r)));return this};class C extends _{constructor(t){super(),this.data=t,this.rows=t.length,this.columns=t[0].length}set(t,e,r){return this.data[t][e]=r,this}get(t,e){return this.data[t][e]}}class T{constructor(t){let e,r,n,o,i,s,a,h,u,l=(t=C.checkMatrix(t)).clone(),f=l.rows,c=l.columns,m=new Float64Array(f),p=1;for(e=0;e<f;e++)m[e]=e;for(h=new Float64Array(f),r=0;r<c;r++){for(e=0;e<f;e++)h[e]=l.get(e,r);for(e=0;e<f;e++){for(u=Math.min(e,r),i=0,n=0;n<u;n++)i+=l.get(e,n)*h[n];h[e]-=i,l.set(e,r,h[e])}for(o=r,e=r+1;e<f;e++)Math.abs(h[e])>Math.abs(h[o])&&(o=e);if(o!==r){for(n=0;n<c;n++)s=l.get(o,n),l.set(o,n,l.get(r,n)),l.set(r,n,s);a=m[o],m[o]=m[r],m[r]=a,p=-p}if(r<f&&0!==l.get(r,r))for(e=r+1;e<f;e++)l.set(e,r,l.get(e,r)/l.get(r,r))}this.LU=l,this.pivotVector=m,this.pivotSign=p}isSingular(){let t=this.LU,e=t.columns;for(let r=0;r<e;r++)if(0===t.get(r,r))return!0;return!1}solve(t){t=P.checkMatrix(t);let e=this.LU;if(e.rows!==t.rows)throw new Error("Invalid matrix dimensions");if(this.isSingular())throw new Error("LU matrix is singular");let r,n,o,i=t.columns,s=t.subMatrixRow(this.pivotVector,0,i-1),a=e.columns;for(o=0;o<a;o++)for(r=o+1;r<a;r++)for(n=0;n<i;n++)s.set(r,n,s.get(r,n)-s.get(o,n)*e.get(r,o));for(o=a-1;o>=0;o--){for(n=0;n<i;n++)s.set(o,n,s.get(o,n)/e.get(o,o));for(r=0;r<o;r++)for(n=0;n<i;n++)s.set(r,n,s.get(r,n)-s.get(o,n)*e.get(r,o))}return s}get determinant(){let t=this.LU;if(!t.isSquare())throw new Error("Matrix must be square");let e=this.pivotSign,r=t.columns;for(let n=0;n<r;n++)e*=t.get(n,n);return e}get lowerTriangularMatrix(){let t=this.LU,e=t.rows,r=t.columns,n=new P(e,r);for(let o=0;o<e;o++)for(let e=0;e<r;e++)o>e?n.set(o,e,t.get(o,e)):o===e?n.set(o,e,1):n.set(o,e,0);return n}get upperTriangularMatrix(){let t=this.LU,e=t.rows,r=t.columns,n=new P(e,r);for(let o=0;o<e;o++)for(let e=0;e<r;e++)o<=e?n.set(o,e,t.get(o,e)):n.set(o,e,0);return n}get pivotPermutationVector(){return Array.from(this.pivotVector)}}function I(t,e){let r=0;return Math.abs(t)>Math.abs(e)?(r=e/t,Math.abs(t)*Math.sqrt(1+r*r)):0!==e?(r=t/e,Math.abs(e)*Math.sqrt(1+r*r)):0}class F{constructor(t){let e,r,n,o,i=(t=C.checkMatrix(t)).clone(),s=t.rows,a=t.columns,h=new Float64Array(a);for(n=0;n<a;n++){let t=0;for(e=n;e<s;e++)t=I(t,i.get(e,n));if(0!==t){for(i.get(n,n)<0&&(t=-t),e=n;e<s;e++)i.set(e,n,i.get(e,n)/t);for(i.set(n,n,i.get(n,n)+1),r=n+1;r<a;r++){for(o=0,e=n;e<s;e++)o+=i.get(e,n)*i.get(e,r);for(o=-o/i.get(n,n),e=n;e<s;e++)i.set(e,r,i.get(e,r)+o*i.get(e,n))}}h[n]=-t}this.QR=i,this.Rdiag=h}solve(t){t=P.checkMatrix(t);let e=this.QR,r=e.rows;if(t.rows!==r)throw new Error("Matrix row dimensions must agree");if(!this.isFullRank())throw new Error("Matrix is rank deficient");let n,o,i,s,a=t.columns,h=t.clone(),u=e.columns;for(i=0;i<u;i++)for(o=0;o<a;o++){for(s=0,n=i;n<r;n++)s+=e.get(n,i)*h.get(n,o);for(s=-s/e.get(i,i),n=i;n<r;n++)h.set(n,o,h.get(n,o)+s*e.get(n,i))}for(i=u-1;i>=0;i--){for(o=0;o<a;o++)h.set(i,o,h.get(i,o)/this.Rdiag[i]);for(n=0;n<i;n++)for(o=0;o<a;o++)h.set(n,o,h.get(n,o)-h.get(i,o)*e.get(n,i))}return h.subMatrix(0,u-1,0,a-1)}isFullRank(){let t=this.QR.columns;for(let e=0;e<t;e++)if(0===this.Rdiag[e])return!1;return!0}get upperTriangularMatrix(){let t,e,r=this.QR,n=r.columns,o=new P(n,n);for(t=0;t<n;t++)for(e=0;e<n;e++)t<e?o.set(t,e,r.get(t,e)):t===e?o.set(t,e,this.Rdiag[t]):o.set(t,e,0);return o}get orthogonalMatrix(){let t,e,r,n,o=this.QR,i=o.rows,s=o.columns,a=new P(i,s);for(r=s-1;r>=0;r--){for(t=0;t<i;t++)a.set(t,r,0);for(a.set(r,r,1),e=r;e<s;e++)if(0!==o.get(r,r)){for(n=0,t=r;t<i;t++)n+=o.get(t,r)*a.get(t,e);for(n=-n/o.get(r,r),t=r;t<i;t++)a.set(t,e,a.get(t,e)+n*o.get(t,r))}}return a}}class V{constructor(t,e={}){if((t=C.checkMatrix(t)).isEmpty())throw new Error("Matrix must be non-empty");let r=t.rows,n=t.columns;const{computeLeftSingularVectors:o=!0,computeRightSingularVectors:i=!0,autoTranspose:s=!1}=e;let a,h=Boolean(o),u=Boolean(i),l=!1;if(r<n)if(s){a=t.transpose(),r=a.rows,n=a.columns,l=!0;let e=h;h=u,u=e}else a=t.clone(),console.warn("Computing SVD on a matrix with more columns than rows. Consider enabling autoTranspose");else a=t.clone();let f=Math.min(r,n),c=Math.min(r+1,n),m=new Float64Array(c),p=new P(r,f),g=new P(n,n),w=new Float64Array(n),d=new Float64Array(r),y=new Float64Array(c);for(let t=0;t<c;t++)y[t]=t;let v=Math.min(r-1,n),b=Math.max(0,Math.min(n-2,r)),M=Math.max(v,b);for(let t=0;t<M;t++){if(t<v){m[t]=0;for(let e=t;e<r;e++)m[t]=I(m[t],a.get(e,t));if(0!==m[t]){a.get(t,t)<0&&(m[t]=-m[t]);for(let e=t;e<r;e++)a.set(e,t,a.get(e,t)/m[t]);a.set(t,t,a.get(t,t)+1)}m[t]=-m[t]}for(let e=t+1;e<n;e++){if(t<v&&0!==m[t]){let n=0;for(let o=t;o<r;o++)n+=a.get(o,t)*a.get(o,e);n=-n/a.get(t,t);for(let o=t;o<r;o++)a.set(o,e,a.get(o,e)+n*a.get(o,t))}w[e]=a.get(t,e)}if(h&&t<v)for(let e=t;e<r;e++)p.set(e,t,a.get(e,t));if(t<b){w[t]=0;for(let e=t+1;e<n;e++)w[t]=I(w[t],w[e]);if(0!==w[t]){w[t+1]<0&&(w[t]=0-w[t]);for(let e=t+1;e<n;e++)w[e]/=w[t];w[t+1]+=1}if(w[t]=-w[t],t+1<r&&0!==w[t]){for(let e=t+1;e<r;e++)d[e]=0;for(let e=t+1;e<r;e++)for(let r=t+1;r<n;r++)d[e]+=w[r]*a.get(e,r);for(let e=t+1;e<n;e++){let n=-w[e]/w[t+1];for(let o=t+1;o<r;o++)a.set(o,e,a.get(o,e)+n*d[o])}}if(u)for(let e=t+1;e<n;e++)g.set(e,t,w[e])}}let S=Math.min(n,r+1);if(v<n&&(m[v]=a.get(v,v)),r<S&&(m[S-1]=0),b+1<S&&(w[b]=a.get(b,S-1)),w[S-1]=0,h){for(let t=v;t<f;t++){for(let e=0;e<r;e++)p.set(e,t,0);p.set(t,t,1)}for(let t=v-1;t>=0;t--)if(0!==m[t]){for(let e=t+1;e<f;e++){let n=0;for(let o=t;o<r;o++)n+=p.get(o,t)*p.get(o,e);n=-n/p.get(t,t);for(let o=t;o<r;o++)p.set(o,e,p.get(o,e)+n*p.get(o,t))}for(let e=t;e<r;e++)p.set(e,t,-p.get(e,t));p.set(t,t,1+p.get(t,t));for(let e=0;e<t-1;e++)p.set(e,t,0)}else{for(let e=0;e<r;e++)p.set(e,t,0);p.set(t,t,1)}}if(u)for(let t=n-1;t>=0;t--){if(t<b&&0!==w[t])for(let e=t+1;e<n;e++){let r=0;for(let o=t+1;o<n;o++)r+=g.get(o,t)*g.get(o,e);r=-r/g.get(t+1,t);for(let o=t+1;o<n;o++)g.set(o,e,g.get(o,e)+r*g.get(o,t))}for(let e=0;e<n;e++)g.set(e,t,0);g.set(t,t,1)}let x=S-1,E=0,R=Number.EPSILON;for(;S>0;){let t,e;for(t=S-2;t>=-1&&-1!==t;t--){const e=Number.MIN_VALUE+R*Math.abs(m[t]+Math.abs(m[t+1]));if(Math.abs(w[t])<=e||Number.isNaN(w[t])){w[t]=0;break}}if(t===S-2)e=4;else{let r;for(r=S-1;r>=t&&r!==t;r--){let e=(r!==S?Math.abs(w[r]):0)+(r!==t+1?Math.abs(w[r-1]):0);if(Math.abs(m[r])<=R*e){m[r]=0;break}}r===t?e=3:r===S-1?e=1:(e=2,t=r)}switch(t++,e){case 1:{let e=w[S-2];w[S-2]=0;for(let r=S-2;r>=t;r--){let o=I(m[r],e),i=m[r]/o,s=e/o;if(m[r]=o,r!==t&&(e=-s*w[r-1],w[r-1]=i*w[r-1]),u)for(let t=0;t<n;t++)o=i*g.get(t,r)+s*g.get(t,S-1),g.set(t,S-1,-s*g.get(t,r)+i*g.get(t,S-1)),g.set(t,r,o)}break}case 2:{let e=w[t-1];w[t-1]=0;for(let n=t;n<S;n++){let o=I(m[n],e),i=m[n]/o,s=e/o;if(m[n]=o,e=-s*w[n],w[n]=i*w[n],h)for(let e=0;e<r;e++)o=i*p.get(e,n)+s*p.get(e,t-1),p.set(e,t-1,-s*p.get(e,n)+i*p.get(e,t-1)),p.set(e,n,o)}break}case 3:{const e=Math.max(Math.abs(m[S-1]),Math.abs(m[S-2]),Math.abs(w[S-2]),Math.abs(m[t]),Math.abs(w[t])),o=m[S-1]/e,i=m[S-2]/e,s=w[S-2]/e,a=m[t]/e,l=w[t]/e,f=((i+o)*(i-o)+s*s)/2,c=o*s*(o*s);let d=0;0===f&&0===c||(d=f<0?0-Math.sqrt(f*f+c):Math.sqrt(f*f+c),d=c/(f+d));let y=(a+o)*(a-o)+d,v=a*l;for(let e=t;e<S-1;e++){let o=I(y,v);0===o&&(o=Number.MIN_VALUE);let i=y/o,s=v/o;if(e!==t&&(w[e-1]=o),y=i*m[e]+s*w[e],w[e]=i*w[e]-s*m[e],v=s*m[e+1],m[e+1]=i*m[e+1],u)for(let t=0;t<n;t++)o=i*g.get(t,e)+s*g.get(t,e+1),g.set(t,e+1,-s*g.get(t,e)+i*g.get(t,e+1)),g.set(t,e,o);if(o=I(y,v),0===o&&(o=Number.MIN_VALUE),i=y/o,s=v/o,m[e]=o,y=i*w[e]+s*m[e+1],m[e+1]=-s*w[e]+i*m[e+1],v=s*w[e+1],w[e+1]=i*w[e+1],h&&e<r-1)for(let t=0;t<r;t++)o=i*p.get(t,e)+s*p.get(t,e+1),p.set(t,e+1,-s*p.get(t,e)+i*p.get(t,e+1)),p.set(t,e,o)}w[S-2]=y,E+=1;break}case 4:if(m[t]<=0&&(m[t]=m[t]<0?-m[t]:0,u))for(let e=0;e<=x;e++)g.set(e,t,-g.get(e,t));for(;t<x&&!(m[t]>=m[t+1]);){let e=m[t];if(m[t]=m[t+1],m[t+1]=e,u&&t<n-1)for(let r=0;r<n;r++)e=g.get(r,t+1),g.set(r,t+1,g.get(r,t)),g.set(r,t,e);if(h&&t<r-1)for(let n=0;n<r;n++)e=p.get(n,t+1),p.set(n,t+1,p.get(n,t)),p.set(n,t,e);t++}E=0,S--}}if(l){let t=g;g=p,p=t}this.m=r,this.n=n,this.s=m,this.U=p,this.V=g}solve(t){let e=t,r=this.threshold,n=this.s.length,o=P.zeros(n,n);for(let t=0;t<n;t++)Math.abs(this.s[t])<=r?o.set(t,t,0):o.set(t,t,1/this.s[t]);let i=this.U,s=this.rightSingularVectors,a=s.mmul(o),h=s.rows,u=i.rows,l=P.zeros(h,u);for(let t=0;t<h;t++)for(let e=0;e<u;e++){let r=0;for(let o=0;o<n;o++)r+=a.get(t,o)*i.get(e,o);l.set(t,e,r)}return l.mmul(e)}solveForDiagonal(t){return this.solve(P.diag(t))}inverse(){let t=this.V,e=this.threshold,r=t.rows,n=t.columns,o=new P(r,this.s.length);for(let i=0;i<r;i++)for(let r=0;r<n;r++)Math.abs(this.s[r])>e&&o.set(i,r,t.get(i,r)/this.s[r]);let i=this.U,s=i.rows,a=i.columns,h=new P(r,s);for(let t=0;t<r;t++)for(let e=0;e<s;e++){let r=0;for(let n=0;n<a;n++)r+=o.get(t,n)*i.get(e,n);h.set(t,e,r)}return h}get condition(){return this.s[0]/this.s[Math.min(this.m,this.n)-1]}get norm2(){return this.s[0]}get rank(){let t=Math.max(this.m,this.n)*this.s[0]*Number.EPSILON,e=0,r=this.s;for(let n=0,o=r.length;n<o;n++)r[n]>t&&e++;return e}get diagonal(){return Array.from(this.s)}get threshold(){return Number.EPSILON/2*Math.max(this.m,this.n)*this.s[0]}get leftSingularVectors(){return this.U}get rightSingularVectors(){return this.V}get diagonalMatrix(){return P.diag(this.s)}}function D(t,e=!1){return t=C.checkMatrix(t),e?new V(t).inverse():function(t,e,r=!1){return t=C.checkMatrix(t),e=C.checkMatrix(e),r?new V(t).solve(e):t.isSquare()?new T(t).solve(e):new F(t).solve(e)}(t,P.eye(t.rows))}function q(t,e,r,n,o){let i=r*n*n,s=P.eye(e.length,e.length,i);const a=o(e);let h=new Float64Array(t.x.length);for(let e=0;e<t.x.length;e++)h[e]=a(t.x[e]);let u=function(t,e,r,n,o){const i=r.length,s=t.x.length;let a=new Array(i);for(let h=0;h<i;h++){a[h]=new Array(s);let i=r.slice();i[h]+=n;let u=o(i);for(let r=0;r<s;r++)a[h][r]=e[r]-u(t.x[r])}return new P(a)}(t,h,e,n,o),l=function(t,e){const r=t.x.length;let n=new Array(r);for(let o=0;o<r;o++)n[o]=[t.y[o]-e[o]];return new P(n)}(t,h),f=D(s.add(u.mmul(u.transpose())));return(e=(e=new P([e])).sub(f.mmul(u).mmul(l).mul(n).transpose())).to1DArray()}function L(t,e,r={}){let{maxIterations:n=100,gradientDifference:s=.1,damping:a=0,errorTolerance:h=.01,minValues:u,maxValues:l,initialValues:f}=r;if(a<=0)throw new Error("The damping option must be a positive number");if(!t.x||!t.y)throw new Error("The data parameter must have x and y elements");if(!o(t.x)||t.x.length<2||!o(t.y)||t.y.length<2)throw new Error("The data parameter elements must be an array with more than 2 points");if(t.x.length!==t.y.length)throw new Error("The data parameter elements must have the same size");let c=f||new Array(e.length).fill(1),m=c.length;if(l=l||new Array(m).fill(Number.MAX_SAFE_INTEGER),u=u||new Array(m).fill(Number.MIN_SAFE_INTEGER),l.length!==u.length)throw new Error("minValues and maxValues must be the same size");if(!o(c))throw new Error("initialValues must be an array");let p,g=i(t,c,e),w=g<=h;for(p=0;p<n&&!w;p++){c=q(t,c,a,s,e);for(let t=0;t<m;t++)c[t]=Math.min(Math.max(u[t],c[t]),l[t]);if(g=i(t,c,e),isNaN(g))break;w=g<=h}return{parameterValues:c,parameterError:g,iterations:p}}r.d(e,"default",(function(){return L}))}])}));
\ No newline at end of file
diff --git a/package.json b/package.json
index 25ada75..8ed4f82 100644
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
   "name": "umap-js",
-  "version": "1.3.3",
+  "version": "1.4.0",
   "description": "JavaScript implementation of UMAP",
   "author": {
     "name": "Andy Coenen",