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path: "tensorflow.estimator"
tf_module {
member {
name: "DNNClassifier"
mtype: "<type \'type\'>"
}
member {
name: "DNNLinearCombinedClassifier"
mtype: "<type \'type\'>"
}
member {
name: "DNNLinearCombinedRegressor"
mtype: "<type \'type\'>"
}
member {
name: "DNNRegressor"
mtype: "<type \'type\'>"
}
member {
name: "Estimator"
mtype: "<type \'type\'>"
}
member {
name: "EstimatorSpec"
mtype: "<type \'type\'>"
}
member {
name: "LinearClassifier"
mtype: "<type \'type\'>"
}
member {
name: "LinearRegressor"
mtype: "<type \'type\'>"
}
member {
name: "ModeKeys"
mtype: "<type \'type\'>"
}
member {
name: "RunConfig"
mtype: "<type \'type\'>"
}
member {
name: "export"
mtype: "<type \'module\'>"
}
member {
name: "inputs"
mtype: "<type \'module\'>"
}
member_method {
name: "classifier_parse_example_spec"
argspec: "args=[\'feature_columns\', \'label_key\', \'label_dtype\', \'label_default\', \'weight_column\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'None\', \'None\'], "
}
member_method {
name: "regressor_parse_example_spec"
argspec: "args=[\'feature_columns\', \'label_key\', \'label_dtype\', \'label_default\', \'label_dimension\', \'weight_column\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\', \'1\', \'None\'], "
}
}
|
