experimental_experiment.xoptim.patterns_ml

experimental_experiment.xoptim.patterns_ml.get_ml_patterns(verbose: int = 0) List[PatternOptimization][source]

Returns a default list of optimization patterns for ai.onnx.ml. It is equal to the following list.

<<<

import pprint
from experimental_experiment.xoptim.patterns_ml import (
    get_ml_patterns,
)

pprint.pprint(get_ml_patterns())

>>>

    [TreeEnsembleRegressorConcatPattern(), TreeEnsembleRegressorMulPattern()]