def create_new_notebook(self):
"""
Create new notebook
"""
self.Notebook = notebook.Notebook()
wandb_logging_callback = LambdaCallback(on_epoch_end=log_generator)
notebook_callback = notebook.KerasCallback(print.add_block(), len(train))
discriminator.trainable = False
print("Training Generator", fmt='header')
joint_model.summary(print_fn=small_print)
joint_model.fit(train, labels, epochs=config.generator_epochs,
batch_size=config.batch_size,
callbacks=[wandb_logging_callback, notebook_callback])
generator.save(path.join(run.dir, "generator.h5"))
with notebook.Notebook() as print:
# init wandb
# load the real training data
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train = x_train / 255.0 * 2.0 - 1.0
x_test = x_test / 255.0 * 2.0 - 1.0
x_train = x_train.astype('float32')
x_test = x_test.astype('float32')
sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
# only try to create 8s
# x_train = x_train[y_train == 8]
# x_test = x_test[y_test == 8]
discriminator = create_discriminator()
def createInterior(self):
return notebook.Notebook(self._panel,
agwStyle=aui.AUI_NB_DEFAULT_STYLE & ~aui.AUI_NB_TAB_SPLIT & \
~aui.AUI_NB_TAB_MOVE & ~aui.AUI_NB_DRAW_DND_TAB)
def make_notebook(self, **kwargs):
"""Make a Notebook"""
import notebook
return(notebook.Notebook(kwargs['window']))
'''
print(obj)
print('\n')
print('Attributes and methods of Notebook instance:')
print(dir(obj))
print('\n')
print('Attributes and methods of Notebook instance method:')
print(dir(obj.new_note('hello')))
print('\n')
print('Attributes and methods of the attribute:')
print(dir(obj.notes))
print('\n')
print('Isinstance func shows that instance of the class and the method '
'of the class are objects (actually, everything is an object): ')
print(isinstance(obj, object))
print(isinstance(obj.new_note('hello'), object))
print(isinstance(obj.__init__(), object))
print(isinstance(obj.notes, object))
print('\n')
print('Init and str methods have their attributes too: ')
print(dir(obj.__init__()))
print(dir(obj.__str__()))
if __name__ == '__main__':
obj = notebook.Notebook()
notebook_researching(obj)