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Fast Auto Machine Learning
Python
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R. Garcia Leiva
Latest commit 212a177 Jan 8, 2020

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README.md

fastautoml

fastautoml is powerful and computationally efficient Python library for automated machine learning, intended for data scientists and with the goal of maximize their productivity.

Prerequisites

fastautoml requires:

  • scikit-learn (>= 0.22)
  • pandas (>= 0.25)

User Installation

If you already have a working installation of scikit-learn and pandas, the easiest way to install fastautoml is using pip:

pip install fastautoml

Running

The following example shows how to compute an optimal model for the MNIST dataset included with scikit-learn.

from fastautoml.fastautoml import AutoClassifier
from sklearn.datasets import load_digits
from sklearn.model_selection import train_test_split

X, y = load_digits(return_X_y=True)
X_train, X_test, y_train, y_test = train_test_split(X, y)

model = AutoClassifier()
model.fit(X_train, y_train)
print("Score:", model.score(X_test, y_test))

Help

Authors

R. Leiva and contributors. If you want to contribute to this project, please contact with the main author.

License

This project is licensed under the 3-Clause BSD license - see the LICENSE.md file for details.

Aknowledgements

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 732667 RECAP

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