CrossValidationConfig: New Cross Validation Configuration
In Microsoft/CNTK-R: R Interface to the Microsoft Cognitive Toolkit (CNTK)

A cross validation configuration for the training session.

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CrossValidationConfig(minibatch_source = NULL, frequency = NULL,
  minibatch_size = 32, callback = NULL, max_samples = NULL,
  model_inputs_to_streams = NULL, criterion = NULL, source = NULL)

`minibatch_source`	(MinibatchSource): minibatch source used for cross validation
`frequency`	(int): frequency in samples for cross validation If NULL or “sys.maxsize“, a single cross validation is performed at the end of training.
`callback`	(func (index, average_error, cv_num_samples, cv_num_minibatches)): Callback that will be called with frequency which can implement custom cross validation logic, returns FALSE if training should be stopped.
`max_samples`	(int, default NULL): number of samples to perform cross-validation on. If NULL, all samples are taken.
`model_inputs_to_streams`	(dict): mapping between input variables and input streams If NULL, the mapping provided to the training session constructor is used. Don't specify this if 'minibatch_source' is a tuple of numpy/scipy arrays.
`criterion`	(): criterion function): criterion function. Must be specified if 'minibatch_source' is a tuple of numpy/scipy arrays.
`source`	(MinibatchSource): DEPRECATED, use minibatch_source instead
`minibatch_size(int`	or minibatch_size_schedule, defaults to 32): minibatch schedule for cross validation