daskperiment

A lightweight tool to perform reproducible machine learning experiment using Dask.

Project description

A lightweight tool to perform reproducible machine learning experiment using Dask.

The package is EXTREMELY unstable.

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.
Sharing experiments.
- Redis backend

Web Dashboard
Reproducibility check (function purity check).
More efficient execution.
- Omit execution if depending parameters are the same
- Distributed execution

0.5.0

Apr 24, 2019

0.4.0

Mar 5, 2019

0.3.0

Feb 21, 2019

This version

0.2.0

Feb 3, 2019

0.1.1

Jan 29, 2019

0.1.0

Jan 28, 2019

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Uploaded Feb 3, 2019 Source

Uploaded Feb 3, 2019 Python 3

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