Tsetlin Machine

Models

MultiClassTM(n_clauses, T, s, dim, ...)	TM for multi-class classification: each sample has exactly one of n_classes classes.
MultiOutputTM(n_clauses, T, s, dim, ...)	TM for multi-label classification: each sample can have any number of n_classes labels.
BinaryTM(n_clauses, T, s, dim, **opt)	TM for binary classification: one output, each sample is 0 or 1.
RegressionTM(n_clauses, T, s, dim, y_range, ...)	TM for regression: one real-valued target per sample.

Configuration

TMConfig()	Settings for the discrete TM models.
RegressionConfig()	Settings for the discrete regression TM.