Belle II Software light-2406-ragdoll
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Public Member Functions | |
def | __init__ (self, X, Y, Z) |
def | next_batch (self, batch_size) |
Public Attributes | |
X | |
Input Features. | |
Y | |
Label data. | |
Z | |
Spectatirs/Quantity to be uncorrelated to. | |
len | |
Length of the data. | |
index_array | |
Index array containing indices from 0 to len. | |
pointer | |
Pointer to the current start of the batch. | |
Class to create batches for training the Adversary Network. Once the steps_per_epoch argument is available for the fit function in keras, this class will become obsolete.
Definition at line 35 of file adversary_network.py.
def __init__ | ( | self, | |
X, | |||
Y, | |||
Z | |||
) |
Init the class :param X: Input Features :param Y: Label Data :param Z: Spectators/Quantity to be uncorrelated to
Definition at line 41 of file adversary_network.py.
def next_batch | ( | self, | |
batch_size | |||
) |
Getting next batch of training data
Definition at line 61 of file adversary_network.py.
index_array |
Index array containing indices from 0 to len.
Definition at line 57 of file adversary_network.py.
len |
Length of the data.
Definition at line 55 of file adversary_network.py.
pointer |
Pointer to the current start of the batch.
Definition at line 59 of file adversary_network.py.
X |
Input Features.
Definition at line 49 of file adversary_network.py.
Y |
Label data.
Definition at line 51 of file adversary_network.py.
Z |
Spectatirs/Quantity to be uncorrelated to.
Definition at line 53 of file adversary_network.py.