python - How can I specify target_column for more than one column while reading csv file in tensorflow -


i have csv file following line format without header

10,10,10,225,123, ..., 0,0,1,0,0,0

number of features = 768 , size of label 6x1

i know possible read csv file single target column using following code

datasets=tf.contrib.learn.datasets.base.load_csv_without_header(      filename="datafile.csv",       target_dtype=np.int,       features_dtype=np.float32)

my question how can specify number of target columns when calling method?


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