1
Install Auto-sklearn
Use pip to install: pip install auto-sklearn
2
Prepare Your Dataset
Format your data as numpy arrays or pandas DataFrames compatible with scikit-learn.
3
Initialize Auto-sklearn Classifier
Import and create an AutoSklearnClassifier object with desired time limits.
4
Fit the Model
Call the fit() method with training data to start automated model search and tuning.
5
Evaluate and Use the Model
Use predict() or predict_proba() on test data and integrate the model into your pipeline.