MOAClassifierSSL

class capymoa.base.MOAClassifierSSL

Bases: MOAClassifier, ClassifierSSL

Wrapper for using MOA semi-supervised learning classifiers.

__init__(moa_learner, schema=None, CLI=None, random_seed=1)

cli_help()

classmethod from_params(

schema: Any = None,

params: dict[str, Any] | None = None,

random_seed: int = 1,

) → Any

Construct an instance from parameters produced by get_params.

get_params() → dict[str, Any]

Return the hyper-parameters captured from the constructor.

predict(instance: Instance) → int | None

Predict the label of an instance.

The base implementation calls predict_proba() and returns the label with the highest probability.

Parameters:

instance – The instance to predict the label for.

Returns:

The predicted label or None if the classifier is unable to make a prediction.

predict_proba(

instance,

) → ndarray[tuple[Any, ...], dtype[float64]] | None

Return probability estimates for each label.

Parameters:

instance – The instance to estimate the probabilities for.

Returns:

An array of probabilities for each label or None if the classifier is unable to make a prediction.

train(instance)

Train the classifier with a labeled instance.

Parameters:

instance – The labeled instance to train the classifier with.

train_on_unlabeled(instance: Instance)

random_seed: int

The random seed for reproducibility.

When implementing a classifier ensure random number generators are seeded.

schema: Schema

The schema representing the instances.