coefficients#
- ComparisonReport.inspection.coefficients()[source]#
Retrieve the coefficients for each report, including the intercepts.
Comparison reports with the same features are put under one key and are plotted together. When some reports share the same features and others do not, those with the same features are plotted together.
- Returns:
CoefficientsDisplayThe feature importance display containing model coefficients and intercept.
Examples
>>> from sklearn.datasets import load_diabetes >>> from sklearn.linear_model import Ridge >>> from skore import train_test_split >>> from skore import ComparisonReport, EstimatorReport >>> X, y = load_diabetes(return_X_y=True) >>> split_data = train_test_split(X=X, y=y, shuffle=False, as_dict=True) >>> report_big_alpha = EstimatorReport(Ridge(alpha=1e3), **split_data) >>> report_small_alpha = EstimatorReport(Ridge(alpha=1e-3), **split_data) >>> report = ComparisonReport({ ... "report small alpha": report_small_alpha, ... "report big alpha": report_big_alpha, ... }) >>> display = report.inspection.coefficients() >>> display.frame() estimator feature coefficient 0 report small alpha Intercept 151.5... 1 report small alpha Feature #0 -11.6... 2 report small alpha Feature #1 -238.2... 3 report small alpha Feature #2 505.5... 4 report small alpha Feature #3 298.4... 5 report small alpha Feature #4 -408.5... 6 report small alpha Feature #5 164.0... 7 report small alpha Feature #6 -55.1... 8 report small alpha Feature #7 123.0... 9 report small alpha Feature #8 633.8... 10 report small alpha Feature #9 99.4... 11 report big alpha Intercept 151.0... 12 report big alpha Feature #0 0.2... 13 report big alpha Feature #1 0.0... 14 report big alpha Feature #2 0.6... 15 report big alpha Feature #3 0.5... 16 report big alpha Feature #4 0.2... 17 report big alpha Feature #5 0.2... 18 report big alpha Feature #6 -0.4... 19 report big alpha Feature #7 0.5... 20 report big alpha Feature #8 0.6... 21 report big alpha Feature #9 0.4... >>> display.plot() # shows plot