⚛️ Qkabrine AutoML Documentation

Automatic Quantum Machine Learning — intelligent search for the best quantum circuit, encoding, and hyperparameters for your data.

pip install qkabrine-automl

from qkabrine_automl import QkabrineAutoML

automl = QkabrineAutoML(task='classification', search_strategy='bayesian')
automl.fit(X_train, y_train)
automl.leaderboard()
preds = automl.predict(X_test)

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Qkabrine AutoML searches over circuit architectures, data encodings, model paradigms (variational circuits and quantum kernels), and hyperparameters simultaneously — so you don’t have to.

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