State-of-the art Automated Machine Learning python library for Tabular Data
Project description
AutoML Alex
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
- Stacking
Contact
Telegram Group: @AutoML-alex
Project details
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