A system to manage machine learning models for xgboost pyspark tensorflow sklearn keras
A python client has xgboost support for working with ModelDB machine learning management system.
Extend by muller https://github.com/mullerhai/tsxgb.git
ModelDB is an end-to-end system for managing machine learning models. It ingests models and associated metadata as models are being trained, stores model data in a structured format, and surfaces it through a web-frontend for rich querying. ModelDB runs on Python 2.X and 3.X and can be used with any ML environment via the ModelDB Light API.
You can install it using pip3 directly from PyPI:
pip3 install modeldb-community #suggest python 3.6
Once installed, you can create a custom syncing scheme setup by typing:
python3 -m modeldb create_config
Unless an alternative syncing scheme is specialized, modeldb will use the packaged syncer.json defaults.
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