pascalabcnet/TestSuite/_MachineLearning/Regression
Mikhalkovich Stanislav 828484f15a Новые ML примеры и тесты - в основном в DataFrame
EncodeLabels - убрана проверка категориальности, добавлен тип Bool
В DataFrame добавлен тип DateTime
Добавлен тип DataValue позволяющий писать df.Filter(r -> r['Col'] > 5)
2026-06-19 22:06:08 +03:00
..
001_join_schema_names.pas
002_pipeline_predictlabels.pas
003_logistic_predictlabels_contract.pas
004_randomforest_predictlabels_contract.pas
005_gradientboosting_predictlabels_contract.pas
006_knn_predictlabels_contract.pas
007_minmax_inverse_range.pas
008_dataframe_schema_snapshot.pas
009_pipeline_rowcount_invariant.pas
010_decisiontree_predictlabels_contract.pas
011_decisiontree_getclasslabels_contract.pas
012_pipeline_getencodedlabels_unknown_class.pas
013_upipeline_rowcount_invariant.pas
014_logistic_getclasslabels_contract.pas
015_randomforest_getclasslabels_contract.pas
016_gradientboosting_getclasslabels_contract.pas
017_knn_getclasslabels_contract.pas
018_pipeline_regression_rejects_string_target.pas
019_pipeline_classification_requires_categorical_target.pas Новые ML примеры и тесты - в основном в DataFrame 2026-06-19 22:06:08 +03:00
020_logistic_predictproba_shape.pas
021_randomforest_predictproba_shape.pas
022_gradientboosting_predictproba_shape.pas
023_pipeline_predictproba_shape.pas
024_pipeline_target_in_features_rejected.pas
025_upipeline_duplicate_features_rejected.pas
026_pipeline_predictlabels_returns_original_strings.pas
027_join_float_key_rejected.pas
028_pipeline_target_bound_step_blocked.pas
029_pipeline_target_columns_step_blocked.pas
030_pipeline_int_categorical_target_contract.pas
031_logistic_sparse_raw_labels_contract.pas
032_randomforest_sparse_raw_labels_contract.pas
033_gradientboosting_sparse_raw_labels_contract.pas
034_decisiontree_sparse_raw_labels_contract.pas
035_knn_sparse_raw_labels_contract.pas
036_pipeline_predict_dense_encoded_labels.pas
037_pipeline_predict_contract_matches_documented_semantics.pas
038_standalone_classifier_predict_contract_is_explicit.pas