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snowflake.ml.model.model_signature.infer_signature

snowflake.ml.model.model_signature.infer_signature(input_data: Union[pd.DataFrame, ndarray[Any, dtype[Union[np.int8, np.int16, np.int32, np.int64, np.float32, np.float64, np.uint8, np.uint16, np.uint32, np.uint64, np.bool_, np.str_, np.bytes_, np.datetime64]]], Sequence[Union[ndarray[Any, dtype[Union[np.int8, np.int16, np.int32, np.int64, np.float32, np.float64, np.uint8, np.uint16, np.uint32, np.uint64, np.bool_, np.str_, np.bytes_, np.datetime64]]], torch.Tensor, tensorflow.Tensor, tensorflow.Variable]], Sequence[Union[int, float, bool, str, bytes, _SupportedBuiltinsList]]], output_data: Union[pd.DataFrame, ndarray[Any, dtype[Union[np.int8, np.int16, np.int32, np.int64, np.float32, np.float64, np.uint8, np.uint16, np.uint32, np.uint64, np.bool_, np.str_, np.bytes_, np.datetime64]]], Sequence[Union[ndarray[Any, dtype[Union[np.int8, np.int16, np.int32, np.int64, np.float32, np.float64, np.uint8, np.uint16, np.uint32, np.uint64, np.bool_, np.str_, np.bytes_, np.datetime64]]], torch.Tensor, tensorflow.Tensor, tensorflow.Variable]], Sequence[Union[int, float, bool, str, bytes, _SupportedBuiltinsList]]], input_feature_names: Optional[List[str]] = None, output_feature_names: Optional[List[str]] = None) → ModelSignature

Infer model signature from given input and output sample data.

Currently supports inferring model signatures from the following data types:

  • Pandas DataFrame with columns of supported data types, lists (including nested lists) of supported data types,

    and NumPy arrays of supported data types. - Does not support DataFrame with CategoricalIndex column index.

  • NumPy arrays of supported data types.

  • Lists of NumPy arrays of supported data types.

  • Lists of supported data types or nested lists of supported data types.

When inferring the signature, a ValueError indicates that the data is insufficient or invalid.

When it might be possible to create a signature reflecting the provided data, but it could not be inferred, a NotImplementedError is raised

Parameters:

  • input_data – Sample input data for the model.

  • output_data – Sample output data for the model.

  • input_feature_names – Names for input features. Defaults to None.

  • output_feature_names – Names for output features. Defaults to None.

Returns:

A model signature inferred from the given input and output sample data.

Language: English