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.

Web Dashboard
Reproducibility check (function purity check).
Sharing experiments.
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

0.2.0

Feb 3, 2019

This version

0.1.1

Jan 29, 2019

0.1.0

Jan 28, 2019

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Uploaded Jan 29, 2019 Source

Uploaded Jan 29, 2019 Python 3

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Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.6