| ML.INSPECT.COEFFICIENTS |
Returns the per-feature coefficients of a fitted linear model. |
| ML.INSPECT.DECISION_BOUNDARY |
Extracts the decision boundary contour points for a classifier and input data X. |
| ML.INSPECT.FEATURE_IMPORTANCES |
Returns the feature importances of a fitted tree-ensemble model. |
| ML.INSPECT.GET_PARAMS |
Gets the parameters of the object. |
| ML.INSPECT.INERTIA |
Returns the inertia (sum of squared distances of samples to their closest cluster center) of a fitted K-Means model. |
| ML.INSPECT.INTERCEPT |
Returns the intercept (bias term) of a fitted linear model. |
| ML.INSPECT.SPECTRUM |
Returns the spectrum of a fitted PCA or KernelPCA decomposition. |