AutoML Alex

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State-of-the art Automated Machine Learning python library for Tabular Data

From AutoML-Benchmark

Installation

pip install automl-alex

🚀 Examples

Classifier:

from automl_alex import AutoMLClassifier

model = AutoMLClassifier(X_train, y_train, X_test,)
predict_test, predict_train = model.fit_predict(timeout=2000,)

Regression:

from automl_alex import AutoMLRegressor

model = AutoMLRegressor(X_train, y_train, X_test,)
predict_test, predict_train = model.fit_predict(timeout=2000,)

More examples in the folder ./examples:

• 01_Quick_Start.ipynb
• 02_Models.ipynb
• 03_Data_Cleaning_and_Encoding_(DataBunch).ipynb
• 04_ModelsReview.ipynb
• 05_BestSingleModel.ipynb

Features

• Data preprocessing
• Categorical feature Encoding
• Cross Validation
• Search for the best solving library
• Smart Optimization of Hyperparameters (TPE)
• Timelimit and EarlyStoping

Contact

Telegram Group: @AutoML-alex