waylay-ml-adapter-numpy 0.1.0

ML_adapter for numpy.

waylay-ml-adapter-numpy

This provides the ml_adapter.numpy module as Waylay ML Adapter for models that use numpy as data representation.

This waylay-ml-adapter-numpy module provides marshalling for (custom) models that use numpy as native data representation.

pip install waylay-ml-adapter-numpy

Exported classes

This module exports the following classes:

Classes exported by ml_adapter.numpy

The module ml_adapter.numpy exports the following classes

V1NumpyModelAdapter

ml_adapter.numpy.adapter.V1NumpyModelAdapter extending ml_adapter.base.adapter.ModelAdapterBase

Adapts a callable with numpy arrays as input and output.

Supports dill, joblib or selfserializing model assets.

V1NumpyMarshaller

ml_adapter.numpy.marshall.V1NumpyMarshaller extending ml_adapter.base.marshall.v1.base.V1ValueOrDictRequestMarshallerBase, ml_adapter.base.marshall.v1.base.V1ValueOrDictResponseMarshallerBase, ml_adapter.numpy.marshall.V1NumpyEncoding

Converts v1 payload from and to numpy arrays.

V1NumpyNoLoadAdapter

ml_adapter.numpy.adapter.V1NumpyNoLoadAdapter extending ml_adapter.numpy.adapter.V1NumpyModelAdapter

Adapts a callable with numpy arrays as input and output.

This adapter does not manage the model as a standard asset. Relies on the model or model_class constructor arguments to define the model. When model is not provided, any model_path is passed as a constructor argument to model_class if the signature allows it.