adaptated examples for using with new ApiTemplate

aimclub · Jan 21, 2025 · 5bfb85d · 5bfb85d
1 parent 62bd8d9
commit 5bfb85d
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Showing 3 changed files with 3 additions and 3 deletions.
diff --git a/examples/automl_example/custom_strategy/explainability/optimisation_history_visualisation.py b/examples/automl_example/custom_strategy/explainability/optimisation_history_visualisation.py
@@ -4,7 +4,7 @@
 from fedot_ind.core.repository.config_repository import DEFAULT_COMPUTE_CONFIG, \
     DEFAULT_AUTOML_LEARNING_CONFIG
 
-def load_data(dataset_dir='C:/Users/Bars/PycharmProjects/Fedot.Industrial/fedot_ind/data/Lightning7'):
+def load_data(dataset_dir='./fedot_ind/data/Lightning7'):
     data_train = np.genfromtxt(dataset_dir + f'/{dataset_name}_TRAIN.txt')
     data_test = np.genfromtxt(dataset_dir + f'/{dataset_name}_TEST.txt')
     train_features, train_target = data_train[:, 1:], data_train[:, 0]

diff --git a/examples/automl_example/custom_strategy/multimodal/multimodal.py b/examples/automl_example/custom_strategy/multimodal/multimodal.py
@@ -4,7 +4,7 @@
 from fedot_ind.core.repository.config_repository import DEFAULT_COMPUTE_CONFIG, \
     DEFAULT_AUTOML_LEARNING_CONFIG
 
-def load_data(dataset_dir='C:/Users/Bars/PycharmProjects/Fedot.Industrial/fedot_ind/data/Lightning7'):
+def load_data(dataset_dir='./fedot_ind/data/Lightning7'):
     data_train = np.genfromtxt(dataset_dir + f'/{dataset_name}_TRAIN.txt')
     data_test = np.genfromtxt(dataset_dir + f'/{dataset_name}_TEST.txt')
     train_features, train_target = data_train[:, 1:], data_train[:, 0]

diff --git a/examples/automl_example/custom_strategy/specific_strategy/kernel_ensemble_example.py b/examples/automl_example/custom_strategy/specific_strategy/kernel_ensemble_example.py
@@ -6,7 +6,7 @@
 from fedot_ind.core.repository.config_repository import DEFAULT_COMPUTE_CONFIG, \
     DEFAULT_AUTOML_LEARNING_CONFIG
 
-def load_data(dataset_dir='C:/Users/Bars/PycharmProjects/Fedot.Industrial/fedot_ind/data/Lightning7'):
+def load_data(dataset_dir='./fedot_ind/data/Lightning7'):
     data_train = np.genfromtxt(dataset_dir + f'/{dataset_name}_TRAIN.txt')
     data_test = np.genfromtxt(dataset_dir + f'/{dataset_name}_TEST.txt')
     train_features, train_target = data_train[:, 1:], data_train[:, 0]