def transform(self,
data,
input_split=False,
merge_output=True,
minibatch_size=None,
batcher=None):
if batcher is None: batcher = self.batcher
return batcher.process_batches(batch_transform,
data, [self.transformer],
input_split=input_split,
merge_output=merge_output,
minibatch_size=minibatch_size)
def transform(self,
data,
input_split=False,
merge_output=True,
minibatch_size=None,
batcher=None):
if batcher is None: batcher = self.batcher
return batcher.process_batches(batch_transform,
data, [self.function] + self.args +
self.kwargs,
input_split=input_split,
merge_output=merge_output,
minibatch_size=minibatch_size)
# import wordbatch.batcher as batcher
# b= batcher.Batcher(minibatch_size=2)#, method="serial")
# import numpy as np
# a= Apply(np.power, b, [2],{})
# print(a.transform([1, 2, 3, 4]))