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path: "tensorflow.keras.wrappers.scikit_learn.KerasClassifier"
tf_class {
is_instance: "<class \'tensorflow.python.keras.wrappers.scikit_learn.KerasClassifier\'>"
is_instance: "<class \'tensorflow.python.keras.wrappers.scikit_learn.BaseWrapper\'>"
is_instance: "<type \'object\'>"
member_method {
name: "__init__"
argspec: "args=[\'self\', \'build_fn\'], varargs=None, keywords=sk_params, defaults=[\'None\'], "
}
member_method {
name: "check_params"
argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "filter_sk_params"
argspec: "args=[\'self\', \'fn\', \'override\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "fit"
argspec: "args=[\'self\', \'x\', \'y\'], varargs=None, keywords=kwargs, defaults=None"
}
member_method {
name: "get_params"
argspec: "args=[\'self\'], varargs=None, keywords=params, defaults=None"
}
member_method {
name: "predict"
argspec: "args=[\'self\', \'x\'], varargs=None, keywords=kwargs, defaults=None"
}
member_method {
name: "predict_proba"
argspec: "args=[\'self\', \'x\'], varargs=None, keywords=kwargs, defaults=None"
}
member_method {
name: "score"
argspec: "args=[\'self\', \'x\', \'y\'], varargs=None, keywords=kwargs, defaults=None"
}
member_method {
name: "set_params"
argspec: "args=[\'self\'], varargs=None, keywords=params, defaults=None"
}
}
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