l have a dataset (numpy vector) with 50 classes
and 9000 training examples.
x_train=(9000,2048)
y_train=(9000,) # Classes are strings
classes=list(set(y_train))
l would like to build a sub-dataset such that each class will have 5 examples
which means l get 5*50=250
training examples. Hence my sub-dataset will take this form :
sub_train_data=(250,2048)
sub_train_labels=(250,)
Remark : we take randomly 5 examples from each class (total number of classes = 50)
Thank you
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