EstimatorReport.feature_importance.coefficients

EstimatorReport.feature_importance.coefficients()

Retrieve the coefficients of a linear model, including the intercept.

Examples

>>> from sklearn.datasets import load_diabetes
>>> from sklearn.linear_model import Ridge
>>> from sklearn.model_selection import train_test_split
>>> from skore import EstimatorReport
>>> X_train, X_test, y_train, y_test = train_test_split(
...     *load_diabetes(return_X_y=True), random_state=0
... )
>>> regressor = Ridge()
>>> report = EstimatorReport(
...     regressor,
...     X_train=X_train,
...     y_train=y_train,
...     X_test=X_test,
...     y_test=y_test,
... )
>>> report.feature_importance.coefficients()
           Coefficient
Intercept     152.4...
Feature #0     21.2...
Feature #1    -60.4...
Feature #2    302.8...
Feature #3    179.4...
Feature #4      8.9...
Feature #5    -28.8...
Feature #6   -149.3...
Feature #7    112.6...
Feature #8    250.5...
Feature #9     99.5...