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Getting Started — scikit-learn 1.5.0 documentation
create a pipeline object >>> pipe = make_pipeline ( ... StandardScaler...# fit the whole pipeline >>> pipe . fit ( X_train , y_train )...scikit-learn.org/stable/getting_started.html -
maxabs_scale — scikit-learn 1.5.0 documentation
most risks of data leaking: pipe = make_pipeline(MaxAbsScaler(),...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html -
1. Metadata Routing — scikit-learn 1.5.0 docume...
= SelectKBest ( k = 2 ) >>> pipe = make_pipeline ( sel , lr )...cv_results = cross_validate ( ... pipe , ... X , ... y , ... cv = GroupKFold...scikit-learn.org/stable/metadata_routing.html -
Elastic Security Solution | Elastic
www.elastic.co/security -
Elasticsearch: The Official Distributed Search ...
www.elastic.co/elasticsearch -
World's most downloaded vector database: Elasti...
www.elastic.co/elasticsearch/vector-database -
AI-driven SIEM Solution & Security Analytics | ...
www.elastic.co/security/siem -
Permutation Importance vs Random Forest Feature...
encoded_missing_value =- 1 ) numerical_pipe = SimpleImputer ( strategy =...categorical_columns ), ( "num" , numerical_pipe , numerical_columns ), ], v...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html -
1.6. Nearest Neighbors — scikit-learn 1.5.0 doc...
( n_neighbors = 3 ) >>> nca_pipe = Pipeline ([( 'nca' , nca ),...), ( 'knn' , knn )]) >>> nca_pipe . fit ( X_train , y_train )...scikit-learn.org/stable/modules/neighbors.html -
Metadata Routing — scikit-learn 1.5.0 documenta...
pipe = SimplePipeline ( transformer...( sample_weight = True ), ) pipe . fit ( X , y , sample_weight...scikit-learn.org/stable/auto_examples/miscellaneous/plot_metadata_routing.html