Construct Input Function Containing Python Dictionaries of Numpy Arrays
This returns a function outputting features and target based on the dict
of numpy arrays. The dict features has the same keys as the x.
numpy_input_fn(x, y = NULL, batch_size = 128, num_epochs = 1, shuffle = NULL, queue_capacity = 1000, num_threads = 1)
x |
dict of numpy array object. |
y |
numpy array object. |
batch_size |
Integer, size of batches to return. |
num_epochs |
Integer, number of epochs to iterate over data. If |
shuffle |
Boolean, if |
queue_capacity |
Integer, size of queue to accumulate. |
num_threads |
Integer, number of threads used for reading and
enqueueing. In order to have predicted and repeatable order of reading and
enqueueing, such as in prediction and evaluation mode, |
Note that this function is still experimental and should only be used if necessary, e.g. feed in data that's dictionary of numpy arrays.
ValueError: if the shape of y mismatches the shape of
values in x (i.e., values in x have same shape). TypeError: x is not
a dict or shuffle is not bool.
Other input functions: input_fn
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