Merge pull request #168 from slds-lmu/ex-svm-fix

update ex_svm_1 and sol_svm_1
slds-lmu · Dec 8, 2023 · f41d325 · f41d325
2 parents d24d1d1 + 2d43f9e
commit f41d325
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Showing 15 changed files with 4 additions and 3 deletions.
diff --git a/exercises-pdf/ex_svm_1.pdf b/exercises-pdf/ex_svm_1.pdf
diff --git a/exercises-pdf/ex_svm_2.pdf b/exercises-pdf/ex_svm_2.pdf
diff --git a/exercises-pdf/ic_sol_svm_1.pdf b/exercises-pdf/ic_sol_svm_1.pdf
diff --git a/exercises-pdf/ic_sol_svm_2.pdf b/exercises-pdf/ic_sol_svm_2.pdf
diff --git a/exercises-pdf/ic_svm_1.pdf b/exercises-pdf/ic_svm_1.pdf
diff --git a/exercises-pdf/ic_svm_2.pdf b/exercises-pdf/ic_svm_2.pdf
diff --git a/exercises-pdf/sol_svm_1.pdf b/exercises-pdf/sol_svm_1.pdf
diff --git a/exercises-pdf/sol_svm_2.pdf b/exercises-pdf/sol_svm_2.pdf
diff --git a/exercises/svm/ex_rnw/ex_linsvm_softmargin.Rnw b/exercises/svm/ex_rnw/ex_linsvm_softmargin.Rnw
@@ -39,7 +39,7 @@ points(x1, x2, pch = ifelse(y == -1, "-", "+"), cex = 1.5)
     Add the decision boundary to the figure for $\hat\theta = (1, 1)^T, \hat\theta_0 = -2$. (NB: This is the approximate optimum for $C=10$)
 
   \item
-    Identify the coordinates of the support vector(s) and compute the values of their slack variables $\sli$.
+    Identify the coordinates of the points on the margin hyperplanes and compute the values of their slack variables $\sli$.
 
   \item
     Compute the Euclidean distance of the non-margin-violating support vector(s) (i.e. support vectors that are located on the margin hyperplanes) to the decision boundary.

diff --git a/exercises/svm/ex_rnw/sol_linsvm_softmargin.Rnw b/exercises/svm/ex_rnw/sol_linsvm_softmargin.Rnw
@@ -36,7 +36,7 @@
 
   \item
 
-    To determine which points are support vectors, we will use the constraint:
+    To determine which points are on the margin hyperplanes, we will use the constraint:
 
     \begin{equation}
       y^{(i)} \left( x^{(i)} \thetah + \thetah_0 \right) \geq   1 - \sli
@@ -54,7 +54,7 @@
       \end{cases}
     \end{equation}
 
-    $(0.5, 0.5), (0, 1), (0, 3), (3, 0)$ are support vectors with slack value of $\sli = 0$ as they lie on the margin hyperplanes.  $(0, 0)$ is also a support vector with slack value of $\sli = 3$.
+    $(0.5, 0.5), (0, 1), (0, 3), (3, 0)$ lie on the margin hyperplanes $\sli = 0$. 
 
     <<echo=FALSE, fig.align='center', fig.height=3, fig.width=3>>=
     mpoints = list(c(0, 0),c(0.5, 0.5),c(0, 1), c(0,3), c(3,0), c(3,3))
@@ -100,6 +100,7 @@
 
   \item
 
+    Note that $(0, 0)$ is a support vector with slack value of $\sli = 3$.
     Some alternatives are:
 
     \begin{itemize}

diff --git a/exercises/svm/figure/unnamed-chunk-3-1.pdf b/exercises/svm/figure/unnamed-chunk-3-1.pdf
diff --git a/exercises/svm/figure/unnamed-chunk-4-1.pdf b/exercises/svm/figure/unnamed-chunk-4-1.pdf
diff --git a/exercises/svm/figure/unnamed-chunk-5-1.pdf b/exercises/svm/figure/unnamed-chunk-5-1.pdf
diff --git a/exercises/svm/figure/unnamed-chunk-7-1.pdf b/exercises/svm/figure/unnamed-chunk-7-1.pdf
diff --git a/exercises/svm/figure/unnamed-chunk-8-1.pdf b/exercises/svm/figure/unnamed-chunk-8-1.pdf