def transform_batch(self, keys, transform_batch):
    'Apply a transform to examples.\n\n        The transformations are a list where each element\n        is a tuple that holds the transformation signature and\n        a callable that is the transformation itself.\n\n        The transformation signature is a tuple of 2 elements with\n        the first one being the keys of the dataset that are taken\n        as inputs. And the last one the outputs it produces for the\n        transformation `keys` argument.\n\n        When multiple transformations are specified, the outputs\n        must be disjoint or `ValueError` will be risen.\n\n        Args:\n            keys (tuple of strs): The keys of transformed examples.\n            transform_batch (list of tuples): A list where each element\n                specifies a transformation with a tuple with the\n                transformation signature and a callable that takes a\n                batch of examples and returns a batch of transformed examples.\n                :attr:`mode` of transformed dataset is determined by\n                the transformed examples.\n\n        Returns:\n            A transfromed dataset.\n        '
    return ppe.dataset.tabular._transform._TransformBatch(self, keys, transform_batch)
Apply a transform to examples.

The transformations are a list where each element
is a tuple that holds the transformation signature and
a callable that is the transformation itself.

The transformation signature is a tuple of 2 elements with
the first one being the keys of the dataset that are taken
as inputs. And the last one the outputs it produces for the
transformation `keys` argument.

When multiple transformations are specified, the outputs
must be disjoint or `ValueError` will be risen.

Args:
    keys (tuple of strs): The keys of transformed examples.
    transform_batch (list of tuples): A list where each element
        specifies a transformation with a tuple with the
        transformation signature and a callable that takes a
        batch of examples and returns a batch of transformed examples.
        :attr:`mode` of transformed dataset is determined by
        the transformed examples.

Returns:
    A transfromed dataset.
def transform_batch(self, keys, transform_batch):
    'Apply a transform to examples.\n\n        The transformations are a list where each element\n        is a tuple that holds the transformation signature and\n        a callable that is the transformation itself.\n\n        The transformation signature is a tuple of 2 elements with\n        the first one being the keys of the dataset that are taken\n        as inputs. And the last one the outputs it produces for the\n        transformation `keys` argument.\n\n        When multiple transformations are specified, the outputs\n        must be disjoint or `ValueError` will be risen.\n\n        Args:\n            keys (tuple of strs): The keys of transformed examples.\n            transform_batch (list of tuples): A list where each element\n                specifies a transformation with a tuple with the\n                transformation signature and a callable that takes a\n                batch of examples and returns a batch of transformed examples.\n                :attr:`mode` of transformed dataset is determined by\n                the transformed examples.\n\n        Returns:\n            A transfromed dataset.\n        '
    return ppe.dataset.tabular._transform._TransformBatch(self, keys, transform_batch)