modelstore

modelstore is a Python library that allows you to version, export, and save/retrieve machine learning models to and from your filesystem or a cloud storage provider (AWS or GCP).

The library’s ModelStore automates versioning your models, storing them in a structured way, retrieving them, and collecting meta data about the Python runtime that was used to train them.

Contents:

• Installing the modelstore library
• Quick Start
  • Create a model store instance
  • Export a model
  • Upload the model to cloud storage
  • Download a model from cloud storage
• The Model Store Structure
  • Model Archive & Meta Data
  • Model Domains
  • File Storage Structure
• Supported Machine Learning Libraries
  • CatBoost
  • Keras
  • PyTorch
  • Scikit-Learn
  • Tensorflow
  • Transformers
  • XGBoost
• Scikit-Learn Example

License

Copyright 2020 Neal Lathia

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Contact

If you have any questions or feedback, feel free to email me: neal.lathia@gmail.com.

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