OSNN#

class capymoa.ssl.classifier.OSNN[source]#

Bases: ClassifierSSL

__init__( schema=None, num_center=10, n_out=1, window_size=200, beta=1, gamma=1, optim_steps=200, seed=1, )[source]#

train(instance)[source]#

Train the classifier with a labeled instance.

Parameters:: instance – The labeled instance to train the classifier with.

predict_proba(instance)[source]#

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.

predict(instance)[source]#

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.

random_seed: int#

The random seed for reproducibility.

When implementing a classifier ensure random number generators are seeded.