def _from_config(cls, config, custom_objects=None, columns_by_name=None): """See 'FeatureColumn` base class.""" fc._check_config_keys(config, cls._fields) kwargs = fc._standardize_and_copy_config(config) kwargs['normalizer_fn'] = utils.deserialize_keras_object( config['normalizer_fn'], custom_objects=custom_objects) kwargs['dtype'] = dtypes.as_dtype(config['dtype']) return cls(**kwargs)
def from_config(cls, config, custom_objects=None, columns_by_name=None): """See 'FeatureColumn` base class.""" from tensorflow.python.feature_column.serialization import ( deserialize_feature_column, ) # pylint: disable=g-import-not-at-top fc_lib._check_config_keys(config, cls._fields) kwargs = fc_lib._standardize_and_copy_config(config) kwargs["categorical_columns"] = tuple([ deserialize_feature_column(c, custom_objects, columns_by_name) for c in config["categorical_columns"] ]) return cls(**kwargs)
def _from_config(cls, config, custom_objects=None, columns_by_name=None): """See 'FeatureColumn` base class.""" _check_config_keys(config, cls._fields) kwargs = config.copy() kwargs['dtype'] = dtypes.as_dtype(config['dtype']) return cls(**kwargs)
def _from_config(cls, config, custom_objects=None, columns_by_name=None): fc._check_config_keys(config, cls._fields) kwargs = fc._standardize_and_copy_config(config) kwargs['dtype'] = dtypes.as_dtype(config['dtype']) return cls(**kwargs)