Note
This page is a reference documentation. It only explains the class signature, and not how to use it. Please refer to the What you really need to know section for the big picture.
julearn.inspect.Inspector#
- class julearn.inspect.Inspector(scores, model=None, X=None, y=None, groups=None, cv=None)#
Base class for inspector.
- Parameters:
- scorespd.DataFrame
The scores as dataframe.
- modelstr, optional
The model to inspect (default None).
- Xlist of str, optional
The features as list (default None).
- ystr, optional
The target (default None).
- groupsstr, optional
The grouping labels in case a group CV is used (default None).
- cvint, optional
The number of folds for cross-validation (default None).
- __init__(scores, model=None, X=None, y=None, groups=None, cv=None)#
- property model: PipelineInspector#
Return the model.
- Returns:
- PipelineInspector
A PipelineInspector instance with model set.
- Raises:
- ValueError
If no
model
is provided.
- property folds: FoldsInspector#
Return the folds.
- Returns:
- FoldsInspector
A FoldsInspector instance with parameters set.
- Raises:
- ValueError
If no
cv
,X
ory
is provided.
Examples using julearn.inspect.Inspector
#
Inspecting the fold-wise predictions
Inspecting the fold-wise predictions
Inspecting Models