fastautoml is powerful and computationally efficient Python library for automated machine learning, intended for data scientists and with the goal of maximize their productivity.
- scikit-learn (>= 0.22)
- pandas (>= 0.25)
If you already have a working installation of
pandas, the easiest way to install
fastautoml is using
pip install fastautoml
The following example shows how to compute an optimal model for the MNIST dataset included with
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))
This project is licensed under the 3-Clause BSD license - see the LICENSE.md file for details.
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 732667 RECAP