Tsetlin Machine¶
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class
PyTsetlinMachineCUDA.tm.CommonTsetlinMachine(number_of_clauses, T, s, boost_true_positive_feedback=1, number_of_state_bits=8, append_negated=True, max_weight=1, grid=(208, 1, 1), block=(128, 1, 1))¶ -
allocate_gpu_memory(number_of_examples)¶
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encode_X(X, encoded_X_gpu)¶
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ta_action(mc_tm_class, clause, ta)¶
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transform(X)¶
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class
PyTsetlinMachineCUDA.tm.MultiClassConvolutionalTsetlinMachine2D(number_of_clauses, T, s, patch_dim, boost_true_positive_feedback=1, number_of_state_bits=8, append_negated=True, max_weight=1, grid=(208, 1, 1), block=(128, 1, 1))¶ This class …
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fit(X, Y, epochs=100, incremental=False, batch_size=100)¶
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predict(X)¶
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score(X)¶
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class
PyTsetlinMachineCUDA.tm.MultiClassTsetlinMachine(number_of_clauses, T, s, boost_true_positive_feedback=1, number_of_state_bits=8, append_negated=True, max_weight=1, grid=(208, 1, 1), block=(128, 1, 1))¶ -
fit(X, Y, epochs=100, incremental=False, batch_size=100)¶
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predict(X)¶
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score(X)¶
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