pynavio 0.2.4

Python lib for navio

======= pynavio

.. image:: https://img.shields.io/pypi/v/pynavio.svg :target: https://pypi.python.org/pypi/pynavio

Python lib for navio

• Free software: MIT license

Features

• Pynavio.Client, navio API client, allows to upload models and data, deploy and retrain models etc.
• Pynavio.mlflow.to_navio function calls mlflow.pyfunc.save_model function, saving a model zip file as required by navio.
  • it also validated the models with Pynavio.mlflow.ModelValidator by default
• Pynavio.mlflow.ModelValidator is a class that validates the model (prediction/example request/MLmodel metadata schema checks, warnings related nested types/big model sizes)
• Pynavio.infer_external_dependencies is a helper function that infers the external dependencies based on the file path. For its limitations please refer to its doc string.
• Pynavio.infer_imported_code_path is a helper function that infers the imported code paths based on the file path and the root path. For its limitations please refer to its doc string.
• Pynavio.make_example_request generates a request schema for a navio model from data.

Documentation

The official documentation is hosted on https://navio.craftworks.io : https://navio.craftworks.io/docs/guides/pynavio/

Examples

To build all example models, use::

$ cd scripts && make

Credits

This package was created with Cookiecutter_ and the audreyr/cookiecutter-pypackage_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter .. _audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage

Examples/models uses code parts from Open Source project mjain72/Condition-monitoring-of-hydraulic-systems-using-xgboost-modeling_.

.. _mjain72/Condition-monitoring-of-hydraulic-systems-using-xgboost-modeling: https://github.com/mjain72/Condition-monitoring-of-hydraulic-systems-using-xgboost-modeling

Examples/models uses code parts from Open Source project https://www.kaggle.com/maciejautuch/car-price-prediction_

.. _https://www.kaggle.com/maciejautuch/car-price-prediction: https://www.kaggle.com/maciejautuch/car-price-prediction

======= History

0.0.1 (2021-09-07)

• First release on PyPI.

0.0.2 (2021-12-29)

• allows user provide modules as pip strings
• brings possibility to infer package dependencies(pip strings) using the infer_external_dependencies()
• handle data frame input for example request
• updates the default conda channels: remove anaconda and pytorch and add conda-forge
• adds and updates the dependencies
• brings gpu related changes
• brings example models (tabular etc.)
• fixes the issue with pigar running for 10 minutes when the input path contains venv

0.1.0 (2022-01-24)

• adds model helpers
• brings more example models: pump leakage model
• removes the need to download the data from kaggle, refers to local data dir for data instead
• adds credits to README, adds LICENSE

0.1.1 (2022-02-07)

• adds credits for kaggle notebook's code parts usage
• brings more example models: car price model

0.1.4 (2022-08-25)

• API Client
• adds possibility to infer the dependencies used in the file only
• extra docs for example models
• moves the data dir out into examples
• updates dependencies
• fixes the missing import of the currently available models
• fixes mlflow==1.27.0 circular import error
• fixes pynavio FileNotFound error mlflow-1.26.0
• fixes _fetch_data example request path according to mlflow-1.26.0
• sets protobuf version to fix failing tests
• fixes to_navio() to support kedro path

0.1.5 (2022-09-15)

• fixes the documentation link
• attempts to remove the build badge
• removes installation for development section form readme
• fixes repository on the pypi page
• adds history

0.1.6 (2022-09-15)

• final touches/refactoring to make the repo ready for becoming public

0.1.7 (2022-11-16)

• fixes mlflow version to be <2.0 as it introduces breaking changes in the api
• wraps navio's model deletion api

0.2.0 (2022-11-30)

• resolves mlflow2 incompatibility
• brings model validation checks:prediction, example request and MLmodel metadata schema validation
• makes check_model_serving function public
• adds jsonschema to requirements
• bump tensorflow from 2.9.1 to 2.9.3
• bump pillow from 9.2.0 to 9.3.0
• refactors example tests

0.2.1 (2022-12-07)

• loosens version requirement for jsonschema
• improves and fixes typos in error message texts
• prevents the exception traceback from prediction_call when checking if it is used, to not confuse the user
• brings a descriptive error if model path in code_path
• brings a descriptive error if code_path is not a list

0.2.2 (2023-04-03 )

• bump tensorflow from 2.9.3 to 2.11.1
• updates torch version and adds onnx as requirement
• fixes torch, pyarrow and onnxrutime versions
• fixes the prediction schema to only expect a list as prediction
• bump ipython from 8.4.0 to 8.10.0
• improves the docstring of to_navio function
• bump wheel from 0.37.1 to 0.38.1

0.2.3 (2023-04-xx )

• adds warnings related to limitations for nested inputs and big model.zip size
• make ModelValidator a public class
• adds docstrings to ModelValidator
• makes model validation optional in to_navio(), so one can disable it
• adds (pynavio model validation) to the validation messages so it is clear where they come from
• adds messages for pynavio model validation checks failed(how to disable)/succeeded(how to check model serving)
• updates readme with model validation info