Auto-Keras is an open source software library for automated machine learning (AutoML). The ultimate goal of AutoML is to allow domain experts with limited data science or machine learning background easily accessible to deep learning models. Auto-Keras provides functions to automatically search for architecture and hyperparameters of deep learning models.
To install the package, please use the pip installation as follows:
pip install autokeras
Note: currently, Auto-Keras is only compatible with: Python 3.6.
Here is a short example of using the package.
import autokeras as ak
clf = ak.ImageClassifier()
clf.fit(x_train, y_train)
results = clf.predict(x_test)
For the documentation, please visit the Auto-Keras official website.
If you use Auto-Keras in a scientific publication, you are highly encouraged (though not required) to cite the following paper:
Efficient Neural Architecture Search with Network Morphism. Haifeng Jin, Qingquan Song, and Xia Hu. arXiv:1806.10282.
Biblatex entry:
@online{jin2018efficient,
author = {Haifeng Jin and Qingquan Song and Xia Hu},
title = {Efficient Neural Architecture Search with Network Morphism},
date = {2018-06-27},
year = {2018},
eprintclass = {cs.LG},
eprinttype = {arXiv},
eprint = {cs.LG/1806.10282},
}
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