create a keras generator

[shairoMt]

At this ticket a new class SWat_Generator should be crated. The class must implement the interface keras.utils.Sequence

The class must implement three methods:

• [x] __init__ which is a constructor:

  • it takes the parameters self, filename, labels , and batch_size. and set the last three locally
  • creates an instance Normaliser as local attribute with the parameters filename and batch_size + 100.

• [x] __len__ which returns the number of batches:

  • it takes the parameter self
  • it gets the number of lines from the normaliser, subtract 100 from it (size of sample fix for now), and divide the result on the batch_size, then return the result

• [x] __getitem__ it returns the batch of a given index

  • it takes the parameters self, and ind
  • returns two np.arrays with the size (batchSize, 100, 5) and (batchSize, 5)
  • calls the method readAndFilterBatchFromCsv at the normaliser with the parameter start = batchsize * ind and set the result at the variable output
  • The variable output now contains batchSize + 100 lines. We need to extract the samples with labels (number of samples is equal to batchSize). So the first sample will be as follow for example:

         some code .....
         for  i in range (batchSize):
           samples.append(output[i: i+100, :])
           labels.append(output[i+100])
         some code .....