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  1. 4. Metadata Routing — scikit-learn 1.8.0 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
    Mon Mar 23 20:39:20 UTC 2026
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  2. quantile_transform — scikit-learn 1.8.0 documen...

    most risks of data leaking: pipe = make_pipeline(QuantileTransformer(),...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html
    Mon Mar 23 20:39:23 UTC 2026
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  3. How to deploy NLP: Text embeddings and vector s...

    as in a pipe, rather than by diffusion through...travels by bulk flow, as in a pipe, rather than by diffusion through...
    www.elastic.co/search-labs/blog/how-to-deploy-nlp-text-embeddings-and-vector-search
    Mon May 04 01:43:47 UTC 2026
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  4. 7.3. Preprocessing data — scikit-learn 1.8.0 do...

    random_state = 42 ) >>> pipe = make_pipeline ( StandardScaler...(), LogisticRegression ()) >>> pipe . fit ( X_train , y_train )...
    scikit-learn.org/stable/modules/preprocessing.html
    Mon Mar 23 20:39:23 UTC 2026
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  5. Introduction to the event loop in Node.js - IBM...

    on ( 'pipe', (src) => { 08 logger.info( 'pipe event received,...WritableStream. on (pipe).callback:[ INFO ]: pipe event received,...
    developer.ibm.com/learningpaths/get-started-nodejs/intro-to-event-loops/
    Tue Feb 17 06:29:01 UTC 2026
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  6. Release Highlights for scikit-learn 0.24 — scik...

    the latest version (with pip): pip install -- upgrade scikit...fetch_covtype ( return_X_y = True ) pipe = make_pipeline ( MinMaxScaler...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html
    Mon Mar 23 20:39:20 UTC 2026
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  7. getting_started.rst.txt

    create a pipeline object >>> pipe = make_pipeline( ... StandardScaler(),...# fit the whole pipeline >>> pipe.fit(X_train, y_train) Pipel...
    scikit-learn.org/stable/_sources/getting_started.rst.txt
    Tue Mar 17 03:44:39 UTC 2026
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  8. Comparing Target Encoder with Other Encoders — ...

    pipe ): result = cross_validate ( pipe , X , y , scoring...categorical_features ), ] ) pipe = make_pipeline ( preprocessor...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. Fine-tuning IBM Granite language models for ent...

    tmux new -s ilab-sdg-session \; pipe-pane -o "cat > /var/home/cl...training. tmux new -s ilab-train \; pipe-pane -o "cat > /var/home/cloud-user/...
    developer.ibm.com/tutorials/awb-fine-tuning-granite-models-for-enterprise-apps-using-rhel-ai/
    Tue Mar 17 04:31:26 UTC 2026
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  10. Balance model complexity and cross-validated sc...

    pipe = Pipeline ( [ ( "reduce_dim"...model. grid = GridSearchCV ( pipe , # Use a non-stratified CV...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html
    Mon Mar 23 20:39:21 UTC 2026
      34.4K bytes
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