A lightweight tool to perform reproducible machine learning experiment using Dask.
Project description
Overview
A lightweight tool to perform reproducible machine learning experiment using Dask.
The package is EXTREMELY unstable.
Benefits
User-intuitive.
Minimizing modifications of existing codes.
Performing experiments using Dask compatible API.
Easily handle experiments history (with pandas basic operations).
Requires less work to manage with Git (no need to make branch per trials).
Tracking experiment result and its (hyper) parameters.
Tracking environment.
OS Info
Python version
Installed package and its version
Tracking code context.
Auto saving and loading previous experiment history.
Parallel execution of experiment steps.
Future Scope
Web Dashboard
Reproducibility check (function purity check).
Sharing experiments.
More efficient execution.
Omit execution if depending parameters are the same
Distributed execution
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Source Distribution
Built Distribution
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- Tags: Source
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