1521861b2a2b129a447192264ed06f63ab89fd98,oddt/scoring/models/classifiers.py,neuralnetwork,__init__,#neuralnetwork#,12

Before Change

    def __init__(self, *args, **kwargs):
         Assemble Neural network using sklearn pipeline 
        // Cherrypick arguments for model. Exclude "steps", which is pipeline argument
        local_kwargs = {key: kwargs.pop(key) for key in kwargs.keys() if key != "steps" and len(key.split("__", 1)) == 1}
        self.pipeline = Pipeline([("empty_dims_remover", VarianceThreshold()),
                                  ("scaler", StandardScaler()),
                                  ("neural_network", MLPClassifier(*args, **local_kwargs))
                                 ]).set_params(**kwargs)

After Change

    def __init__(self, *args, **kwargs):
         Assemble Neural network using sklearn pipeline 
        // Cherrypick arguments for model. Exclude "steps", which is pipeline argument
        local_kwargs = {key: kwargs.pop(key) for key in list(kwargs.keys()) if key != "steps" and len(key.split("__", 1)) == 1}
        self.pipeline = Pipeline([("empty_dims_remover", VarianceThreshold()),
                                  ("scaler", StandardScaler()),
                                  ("neural_network", MLPClassifier(*args, **local_kwargs))
                                 ]).set_params(**kwargs)

Instances