OSNN

class capymoa.ssl.classifier.OSNN

Bases: ClassifierSSL

Online Semi-Supervised Neural Network.

Online Semi-Supervised Neural Network (OSNN) [1] is a neural network designed for semi-supervised learning in non-stationary data streams.

[1]

R. G. F. Soares and L. L. Minku, “Osnn: An online semisupervised neural network for nonstationary data streams,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1–13, 2021.

__init__(

schema=None,

num_center=10,

n_out=1,

window_size=200,

beta=1,

gamma=1,

optim_steps=200,

seed=1,

)

predict(instance)

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)

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)

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.