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Modularize your machine learning pipelines.

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
    • WandbExperimentTracker
  • 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

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