Measures the performance of a model, given by its criterion function, in the form of average metric value (or loss if model has only one output) on a set of data.

func_test(func, minibatch_source, minibatch_size = 32, streams = NULL,
  model_inputs_to_streams = NULL, callbacks = NULL)

Arguments

func

- The CNTK `Function` instance on which to apply the operation

minibatch_source

- minibatch source for the test data

minibatch_size

(minibatch_size_schedule or int) – minibatch size for evaluation

streams

(list) - the streams of the minibatch_source in argument order

model_inputs_to_streams

(dict or named list) - mapping between input variables and #' input streams

callbacks

(progress writer or list of them) – optionally, list of progress writers from cntk.logging to automatically track training progress.