pyanno4rt.learning_model.inspection

Model inspection module.

The module aims to provide methods and classes to inspect the machine learning outcome models.

Subpackages

Overview

Classes

ModelInspector

Model inspection class.

Classes

class pyanno4rt.learning_model.inspection.ModelInspector(model_label)[source]

Model inspection class.

This class provides the computation method for a number of inspection algorithms on a machine learning outcome model.

Parameters:

model_label (str) – Label for the machine learning outcome model.

model_label

See ‘Parameters’.

Type:

str

Overview

Methods

compute(model_instance, hyperparameters, features, labels, preprocessing_steps, number_of_repeats, oof_folds)

Compute the inspection results.

Members

compute(model_instance, hyperparameters, features, labels, preprocessing_steps, number_of_repeats, oof_folds)[source]

Compute the inspection results.

Parameters:

  • model_instance (object) – The object representing the machine learning outcome model.

  • hyperparameters (dict) – Dictionary with the machine learning outcome model hyperparameters.

  • features (ndarray) – Values of the input features.

  • labels (ndarray) – Values of the input labels.

  • preprocessing_steps (list) – Sequence of labels associated with preprocessing algorithms for the machine learning outcome model.

  • number_of_repeats (int) – Number of feature permutations.

  • oof_folds (ndarray) – Out-of-fold split numbers.