keraflow.callbacks.Callback Class Reference

Abstract base class used to build new callbacks. More...

Inheritance diagram for keraflow.callbacks.Callback:

Detailed Description

Abstract base class used to build new callbacks.

Properties

params: dict. Training parameters (eg. verbosity, batch size, number of epochs...). model: instance of keras.models.Model. Reference of the model being trained.

The logs dictionary that callback methods take as argument will contain keys for quantities relevant to the current batch or epoch.

Currently, the .fit() method of the Sequential model class will include the following quantities in the logs that it passes to its callbacks:

on_epoch_end: logs include `acc` and `loss`, and
    optionally include `val_loss`
    (if validation is enabled in `fit`), and `val_acc`
    (if validation and accuracy monitoring are enabled).
on_batch_begin: logs include `size`,
    the number of samples in the current batch.
on_batch_end: logs include `loss`, and optionally `acc`
    (if accuracy monitoring is enabled).