Searched refs:samples_indices (Results 1 – 6 of 6) sorted by relevance
| /dports/misc/opennn/opennn-5.0.5/tests/ |
| H A D | normalized_squared_error_test.cpp | 205 Tensor<Index, 1> samples_indices = data_set.get_training_samples_indices(); in test_calculate_error_gradient() local
209 batch.fill(samples_indices, input_indices, target_indices); in test_calculate_error_gradient()
277 Tensor<Index, 1> samples_indices = data_set.get_training_samples_indices(); in test_calculate_error_gradient() local
281 batch.fill(samples_indices, input_indices, target_indices); in test_calculate_error_gradient()
551 Tensor<Index, 1> samples_indices = data_set.get_training_samples_indices(); in test_calculate_error_terms() local
555 batch.fill(samples_indices, input_indices, target_indices); in test_calculate_error_terms()
612 Tensor<Index, 1> samples_indices = data_set.get_training_samples_indices(); in test_calculate_error_terms_Jacobian() local
616 batch.fill(samples_indices, input_indices, target_indices); in test_calculate_error_terms_Jacobian()
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| H A D | minkowski_error_test.cpp | 195 Tensor<Index, 1> samples_indices = data_set.get_training_samples_indices(); in test_calculate_error_gradient() local
199 batch.fill(samples_indices, input_indices, target_indices); in test_calculate_error_gradient()
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| H A D | mean_squared_error_test.cpp | 167 Tensor<Index, 1> samples_indices = data_set.get_training_samples_indices(); in test_calculate_error_gradient() local
171 batch.fill(samples_indices, input_indices, target_indices); in test_calculate_error_gradient()
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| /dports/misc/opennn/opennn-5.0.5/opennn/ |
| H A D | loss_index.cpp | 909 Tensor<Index, 1> samples_indices = data_set_pointer->get_training_samples_indices(); in calculate_error_gradient_numerical_differentiation() local
913 batch.fill(samples_indices, input_indices, target_indices); in calculate_error_gradient_numerical_differentiation()
965 Tensor<Index, 1> samples_indices = data_set_pointer->get_training_samples_indices(); in calculate_Jacobian_numerical_differentiation() local
969 batch.fill(samples_indices, input_indices, target_indices); in calculate_Jacobian_numerical_differentiation()
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| H A D | data_set.cpp | 1026 const Index samples_number = samples_indices.size(); in get_batches()
1040 Tensor<Index,1> samples_copy(samples_indices); in get_batches()
1105 buffer(random_index) = samples_indices(next_index); in get_batches()
1142 batches(i,j) = samples_indices(next_index); in get_batches()
1159 buffer(random_index) = samples_indices(next_index); in get_batches()
4061 const Index samples_indices_size = samples_indices.size(); in get_variable_data()
4067 Index sample_index = samples_indices(i); in get_variable_data()
4134 const Index samples_indices_size = samples_indices.size(); in get_variable_data()
4140 Index sample_index = samples_indices(i); in get_variable_data()
11197 const Index samples_number = samples_indices.dimension(0); in split_samples()
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| /dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/ensemble/_hist_gradient_boosting/ |
| H A D | splitting.pyx | 392 # &sample_indices[right_offset[-1]] = &samples_indices[n_samples_at_node]
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