Initial released version.Main features include:
Basic scikit-learn pipeline elements for building machine learning models that process time series of aligned signals.
Python API for packaging trained models into pipeline configuration packages to be executed on AI Inference Server.
Supports pipeline configurations with multiple components running in isolated Python environments.
Supports PEP 440 public version identifiers to specify required inference serving environment.
Supports providing required Python packages as wheels.
Python API to check availability of required Python packages for AI Inference Server.
Python API to drive pipeline configuration packages with test data.
Creates required inference serving environment automatically.
Supports test driving the pipeline as a whole or component-by-component.
Provides a local mock of the logging interface on AI Inference Server.
Tested on Linux and Windows.