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.
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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. |
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