AttributeError: 'LossPlot' object has no attribute 'totals'

[fgolemo]

When running the IPython notebook example, I get the following error:

AttributeError                            Traceback (most recent call last)
<ipython-input-6-9386fd8b8064> in <module>()
      1 model.fit(X_train, Y_train, batch_size=batch_size, nb_epoch=nb_epoch,
      2           show_accuracy=True, verbose=1, validation_data=(X_test, Y_test),
----> 3           callbacks=[loss_plot, conv_weights])

/usr/local/lib/python2.7/dist-packages/keras/models.pyc in fit(self, x, y, batch_size, nb_epoch, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, **kwargs)
    406                               shuffle=shuffle,
    407                               class_weight=class_weight,
--> 408                               sample_weight=sample_weight)
    409 
    410     def evaluate(self, x, y, batch_size=32, verbose=1,

/usr/local/lib/python2.7/dist-packages/keras/engine/training.pyc in fit(self, x, y, batch_size, nb_epoch, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight)
   1051                               verbose=verbose, callbacks=callbacks,
   1052                               val_f=val_f, val_ins=val_ins, shuffle=shuffle,
-> 1053                               callback_metrics=callback_metrics)
   1054 
   1055     def evaluate(self, x, y, batch_size=32, verbose=1, sample_weight=None):

/usr/local/lib/python2.7/dist-packages/keras/engine/training.pyc in _fit_loop(self, f, ins, out_labels, batch_size, nb_epoch, verbose, callbacks, val_f, val_ins, shuffle, callback_metrics)
    810                         for l, o in zip(out_labels, val_outs):
    811                             epoch_logs['val_' + l] = o
--> 812             callbacks.on_epoch_end(epoch, epoch_logs)
    813             if callback_model.stop_training:
    814                 break

/usr/local/lib/python2.7/dist-packages/keras/callbacks.pyc in on_epoch_end(self, epoch, logs)
     37     def on_epoch_end(self, epoch, logs={}):
     38         for callback in self.callbacks:
---> 39             callback.on_epoch_end(epoch, logs)
     40 
     41     def on_batch_begin(self, batch, logs={}):

/usr/local/lib/python2.7/dist-packages/agnez-0.1.0-py2.7.egg/agnez/app_callbacks.pyc in on_epoch_end(self, epoch, logs)
     75 
     76     def on_epoch_end(self, epoch, logs={}):
---> 77         self.train_values.append(self.totals['loss']/self.seen)
     78         self.valid_values.append(logs['val_loss'])
     79 

AttributeError: 'LossPlot' object has no attribute 'totals'

...and I don't entirely know how to fix this. Any help appreciated.

I checked and there is a self.totals in agnez/keras_callbacks.py (in the Plot class), which doesn't seem to be used here, and in keras/callbacks.py (BaseLogger class, but also not sure if used here).

My Keras is version 1.0.6, Theano version 0.9.0dev1.dev-a668c6c5b6d055b233aa5bc50b22800d996ffce1 on Python 2.7, Ubuntu 15.10 64bit.

[EderSantana]

sorry, maybe there is a compatibility Issue.
the last time I tried this was back in keras 0.3

if you find the bug please make a PR and I'll be glad to review
thanks!