Full Pipeline Help

End-to-end run: preprocessing, feature engineering and selection, model training, evaluation and interpretation.

Requires: One dataset with a numeric target column.

Form fields accepted by this method's POST request

analysis_type=full_pipeline, dataset_id, categorical_encoding, fdr_threshold, feature_selection_method, k, missing_strategy, n_estimators, n_splits, normalization, outlier_handling, outlier_method, permutation_repeats, run_permutation, run_shap, target_col, test_size

No dataset yet? Upload a file.
The variable the pipeline will model.
Parameters & Options
Preprocessing
How non-numeric feature columns are converted before modeling.
Feature Selection
Model Training
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