KNN#

class capymoa.classifier.KNN[source]#

Bases: MOAClassifier

The default number of neighbors (k) is set to 3 instead of 10 (as in MOA)

__init__(schema=None, CLI=None, random_seed=1, k=3, window_size=1000)[source]#

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.

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.

train(instance)[source]#

Train the classifier with a labeled instance.

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

random_seed: int#

The random seed for reproducibility.

When implementing a classifier ensure random number generators are seeded.