coefficients

CrossValidationReport.inspection.coefficients()

Retrieve the coefficients across splits, including the intercept.

Returns:

CoefficientsDisplay

The feature importance display containing model coefficients and intercept.

Examples

>>> from sklearn.datasets import make_regression
>>> from sklearn.linear_model import Ridge
>>> from skore import CrossValidationReport
>>> X, y = make_regression(n_features=3, random_state=42)
>>> report = CrossValidationReport(estimator=Ridge(), X=X, y=y, splitter=2)
>>> display = report.inspection.coefficients()
>>> display.frame()
      feature  coefficient_mean  coefficient_std
0   Intercept             0.0...            0.2...
1  Feature #0            73.5...            0.4...
2  Feature #1            27.0...            0.5...
3  Feature #2            17.1...            0.0...
>>> display.plot() # shows plot