Modularize your machine learning pipelines.

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  • License: MIT License
  • Author: Eric Mockler
  • Requires: Python >=3.8
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Project description

tidyML

Machine learning pipelines are too often built from spaghetti. This package provides utilities to consolidate logic and minimize duplication, which helps you write maintainable code.

Modules

  • DataMediator

  • ExperimentTracker

    • NeptuneExperimentTracker

  • HyperparameterOptimizer

    • BayesianOptimizer
    • GaussianProcessRegressor
    • RegressorCollection

Environment

Development quickstart

  1. Install Python, open a terminal in the tidyML directory

  2. Install dependencies with pip install -r requirements.txt

Project details

Verified details

These details have been verified by PyPI
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Avatar for emockler from gravatar.com emockler

Unverified details

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Project links
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  • License: MIT License
  • Author: Eric Mockler
  • Requires: Python >=3.8
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0.6.8

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0.6.6

0.6.5

0.6.3

0.6.2

0.6.1

0.6.0

0.5.11

0.5.10

0.5.9

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0.5.6

0.5.5

0.5.4

0.5.3

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0.5.1

0.5.0

0.4.28

0.4.22

0.4.20

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0.4.12

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This version

0.2.0

0.0.5

0.0.4

0.0.3

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