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Automated machine learning

Simple automated machine learning library based on relative landmarks described in Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing by Carlos Soares, Johann Petrak, and Pavel Brazdil.

Usage

from automl import AutoML

...

auto_ml = AutoML(
    max_time=30,
    problem_type='regression'
)
auto_ml.fit(X_train, y_train)
predictions = auto_ml.predict(X_test)

Describe built pipeline:

auto_ml.describe()

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  • Jupyter Notebook 38.1%
  • Python 35.2%
  • TeX 25.1%
  • Shell 1.6%