Open raghukiran1224 opened 3 years ago
Current implementation does not accept user specified scoring metric(s). For example, cross_val_score(pipeline, X_test, y_test, scoring="neg_mean_squared_error", cv=10) The list of sklearn model evaluation metrics are listed here https://scikit-learn.org/stable/modules/model_evaluation.html#scoring-parameter
cross_val_score(pipeline, X_test, y_test, scoring="neg_mean_squared_error", cv=10)
One common use case documented below is supported by codeflare pipeline. https://scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html#sphx-glr-auto-examples-model-selection-plot-underfitting-overfitting-py
created by @yuanchi2807
Overview
Current implementation does not accept user specified scoring metric(s). For example,
cross_val_score(pipeline, X_test, y_test, scoring="neg_mean_squared_error", cv=10)
The list of sklearn model evaluation metrics are listed here https://scikit-learn.org/stable/modules/model_evaluation.html#scoring-parameterAcceptance Criteria
One common use case documented below is supported by codeflare pipeline. https://scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html#sphx-glr-auto-examples-model-selection-plot-underfitting-overfitting-py
Questions
Assumptions
Reference