

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

dataset/ETHPy150Open daeilkim/refinery/refinery/bnpy/bnpy-dev/demodata/HashtagK9.py get_minibatch_iterator/VarMisuse@95/286 `dataorderseed`->`nObsBatch`