pyconstruct.learners.BaseSSG.partial_fit

BaseSSG.partial_fit(X, Y, Y_pred=None, Y_phi=None, Y_pred_phi=None, **kwargs)

Updates the current model with a mini-batch (X, Y).

Parameters:

• X (numpy.ndarray) – Input examples. The first dimension must be the batch size.
• Y (numpy.ndarray) – Output objects. The first dimension must be the batch size. This must coincide with batch size for X.
• Y_pred (numpy.ndarray) – Predictions of the algorithm. The first dimension must be the batch size. This must coincide with batch size for X. If None, either not needed or done internally.

Returns:

Return type:

self