deepcave.evaluators.epm.random_forest_surrogate

# RandomForest Surrogate

This module provides a RandomForest Surrogate model.

Mean and standard deviation values can be predicted for a given input with this module.

## Classes

• RandomForestSurrogate: Random forest surrogate for the pyPDP package.

Classes

RandomForestSurrogate(configspace[, seed, ...])

Random forest surrogate for the pyPDP package.

class deepcave.evaluators.epm.random_forest_surrogate.RandomForestSurrogate(configspace, seed=None, n_trees=16)

Bases: SurrogateModel

Random forest surrogate for the pyPDP package.

Predict deviations and fit the model.

fit(X, y)

Train the surrogate model.

Parameters:

• X (np.ndarray) – Input data points.

• y (np.ndarray) – Corresponding target values.

Return type:

None

predict(X)

Predict the deviations.

Parameters:

X (np.ndarray) – The data points on which to predict.

Returns:

The means and standard deviation.

Return type:

Tuple[np.ndarray, np.ndarray]

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