classification_error: Classification Error Between Target and Predicted
In Microsoft/CNTK-R: R Interface to the Microsoft Cognitive Toolkit (CNTK)

Description Usage Arguments Details References

This operation computes the classification error.

1 2	classification_error(output_vector, target_vector, axis = -1, topN = 1, name = "")

`output_vector`	the output values of the network
`target_vector`	one-hot encoding of target values
`axis`	integer for axis along which the classification error is computed
`topN`	integer
`name`	string (optional) the name of the Function instance in the network

It finds the index of the highest value in the output_vector and compares it to the actual ground truth label (the index of the hot bit in the target vector).

The result is a scalar (i.e., one by one matrix). This is often used as an evaluation criterion.

It cannot be used as a training criterion though since the gradient is not defined for it.

https://www.cntk.ai/pythondocs/cntk.metrics.html#cntk.metrics.classification_error

Microsoft/CNTK-R documentation built on May 28, 2019, 1:52 p.m.