Returns input function that would feed Pandas DataFrame into the model.
tf.estimator.inputs.pandas_input_fn( x, y=None, batch_size=128, num_epochs=1, shuffle=None, queue_capacity=1000, num_threads=1, target_column='target' )
batch_size: int, size of batches to return.
num_epochs: int, number of epochs to iterate over data. If not
None, read attempts that would exceed this value will raise
shuffle: bool, whether to read the records in random order.
queue_capacity: int, size of the read queue. If
None, it will be set roughly to the size of
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,
num_threadsshould be 1.
target_column: str, name to give the target column
y. This parameter is not used when
Function, that has signature of ()->(dict of
xalready contains a column with the same name as
y, or if the indexes of
ValueError: if 'shuffle' is not provided or a bool.