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()]