FittedPipeline
FittedPipeline()Methods
| Name | Description |
|---|---|
| score_expr | Compute metrics using deferred execution. |
score_expr
score_expr(expr, metric_fn=None, use_proba=False, **kwargs)Compute metrics using deferred execution.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| expr | ibis.Expr | Expression containing test data | required |
| metric_fn | callable | Metric function from sklearn.metrics. If None, uses model’s default | None |
| use_proba | bool | If True, use predict_proba for metric computation (default: False) | False |
| **kwargs | dict | Additional arguments passed to the metric function | {} |
Returns
| Name | Type | Description |
|---|---|---|
| ibis.Expr | Deferred metric expression |