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github.com/ValentinVignal/midiGenerator
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Functions
815 in github.com/ValentinVignal/midiGenerator
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Functions
815
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Types & classes
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2
Function
to_scale
:param axis: Axis to to the transformation :param tensor: whatever shape, in example: (batch, nb_instrument, nb_steps, step_size, input_size
src/NN/Loss/utils.py:28
Method
total_epochs
(self)
src/MidiGenerator/MGInit.py:66
Function
train
For the file train.py :param args: :return:
src/Args/preprocess.py:33
Method
train
:param memory_sequence: :param fast_sequence: :param sequence_to_numpy: :param epochs: :param batch:
src/MidiGenerator/MGTrain.py:10
Method
train_on_batch
:param epochs: :param x: :param y: :param callbacks: :param verbose: :param validation: :par
src/NN/KerasNeuralNetwork.py:265
Function
transpose_list
:param l: list of object (not np array) :param axes: :return:
src/NN/layers/shapes.py:286
Method
update_best_summary
(self)
src/NN/Callbacks/LossHistory.py:83
Method
update_summary
(self, i=None)
src/NN/Callbacks/LossHistory.py:80
Method
update_with_fit_args
:param kwargs: :return:
src/NN/layers/KerasLayer.py:69
Method
update_with_fit_args
(self, **kwargs)
src/NN/Callbacks/Annealing.py:65
Method
update_with_fit_args
Method to be implemented :param kwargs: dict :return:
src/NN/Callbacks/KerasCallback.py:5
Method
with_new_model
(cls, model_infos, name='name', work_on=g.mg.work_on, data=None)
src/MidiGenerator/MidiGenerator.py:25
Function
work_on2letter
(wo)
src/GlobalVariables/midi_generator.py:18
Function
work_on_nb
:param wo: :return:
src/GlobalVariables/midi_generator.py:44
Function
wrapper
()
simpleWorkingScripts/diagnose_tensorboard.py:77
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801–815 of 815, ranked by callers