def get_minibatch_iterator(seed=8675309, dataorderseed=0, nBatch=10, nObsBatch=None, nObsTotal=25000, nLap=1, **kwargs):
'''
Args
--------
seed : integer seed for random number generator,
used for actually *generating* the data
dataorderseed : integer seed that determines
(a) how data is divided into minibatches
(b) order these minibatches are traversed
Returns
-------
bnpy MinibatchIterator object, with nObsTotal observations
divided into nBatch batches
'''
X, TrueZ = get_X(seed, nObsTotal)
Data = XData(X=X)
DataIterator = MinibatchIterator(Data, nBatch=nBatch, nObsBatch=nObsBatch, nLap=nLap, dataseed=seed)
DataIterator.summary = get_data_info()
return DataIterator
def get_minibatch_iterator(seed=8675309, nObsTotal=25000, **kwargs): X, TrueZ = generateData(seed, nObsTotal) Data = XData(X=X, TrueZ=TrueZ) DataIterator = MinibatchIterator(Data, **kwargs) DataIterator.summary = get_data_info() return DataIterator
