Python lib for navio
- Free software: MIT license
- Pynavio.Client is a navio API client that enables users 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 enables inferring the conda environment (with pip requirements) and adding extra pip dependencies to the inferred environment
- it enables adding sys dependencies to the navio model
- it also validates 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. Please refer to its doc string for limitations.
- Pynavio.infer_imported_code_path is a helper function that infers the imported code paths based on the file path and the root path. Please refer to its doc string for limitations.
- Pynavio.make_example_request generates a request schema for a navio model from data.
The official documentation is hosted on https://navio.craftworks.io : https://navio.craftworks.io/docs/guides/pynavio/
To build all example models, use:
$ cd scripts && makeThis package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
Examples/models uses code parts from Open Source project 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