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ClassDistributions—Wolfram Documentation

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• Method for Classify.
• Learn a probability distribution for each class to compute class probabilities.

Train a classifier function on labeled examples:

Classify a new example:

Obtain probabilities:

Obtain information about the classifier:

Obtain specific information about the method used by LearnDistribution:

Generate some normally distributed data:

Visualize it:

Train a classifier on this dataset:

Plot the training set and the probability distribution of each class as a function of the features:

Train a classifier and specify that the anomaly detector should be inherited from the "ClassDistributions" method:

Classify a new example:

Classify a new example that is anomalous:

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