graphdot.model.gaussian_process.base module¶
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class
graphdot.model.gaussian_process.base.
GaussianProcessRegressorBase
(kernel, normalize_y, regularization, kernel_options)[source]¶ Bases:
object
Base class for all Gaussian process regression (GPR) models.
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X
¶ The input values of the training set.
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load
(path, filename='model.pkl')[source]¶ Load a stored GaussianProcessRegressor model from a pickle file.
Parameters: - path (str) – The directory where the model is saved.
- filename (str) – The file name for the saved model.
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save
(path, filename='model.pkl', overwrite=False)[source]¶ Save the trained GaussianProcessRegressor with the associated data as a pickle.
Parameters: - path (str) – The directory to store the saved model.
- filename (str) – The file name for the saved model.
- overwrite (bool) – If True, a pre-existing file will be overwritten. Otherwise, a runtime error will be raised.
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y
¶ The output/target values of the training set.
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