view datasets/dataset.py @ 306:a78dbbc61f37

Meilleure souplesse d'execution, un parametre hard-coade est maintenant plus propre
author SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
date Wed, 31 Mar 2010 21:02:27 -0400
parents d6672a7daea5
children
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line source

from dsetiter import DataIterator

class DataSet(object):
    def test(self, batchsize, bufsize=None): 
        r"""
        Returns an iterator over the test examples.

        Parameters
          batchsize (int) -- the size of the minibatches
          bufsize (int, optional) -- the size of the in-memory buffer,
                                     0 to disable.
        """
        return self._return_it(batchsize, bufsize, self._test)

    def train(self, batchsize, bufsize=None):
        r"""
        Returns an iterator over the training examples.

        Parameters
          batchsize (int) -- the size of the minibatches
          bufsize (int, optional) -- the size of the in-memory buffer,
                                     0 to disable.
        """
        return self._return_it(batchsize, bufsize, self._train)

    def valid(self, batchsize, bufsize=None):
        r"""
        Returns an iterator over the validation examples.

        Parameters
          batchsize (int) -- the size of the minibatches
          bufsize (int, optional) -- the size of the in-memory buffer,
                                     0 to disable.
        """
        return self._return_it(batchsize, bufsize, self._valid)

    def _return_it(batchsize, bufsize, data):
        r"""
        Must return an iterator over the specified dataset (`data`).

        Implement this in subclassses.
        """
        raise NotImplemented