ndcg_at_1: NDCG at 1
In Microsoft/CNTK-R: R Interface to the Microsoft Cognitive Toolkit (CNTK)
Description
Usage
Arguments
Details
Description
Groups samples according to group, sorts them within each group based on
output and computes the Normalized Discounted Cumulative Gain (NDCG) at 1
for each group. Concretely, the NDCG at 1 is:
Usage
1
Arguments
name
Details
$\mathrmNDCG_1 = \fracgain_(1)\max_i gain_i$
where gain(1)gain(1) means the gain of the first ranked sample.
Samples in the same group must appear in order of decreasing gain.
It returns the average NDCG at 1 across all the groups in the minibatch
multiplied by 100 times the number of samples in the minibatch.
This is a forward-only operation, there is no gradient for it.
Microsoft/CNTK-R documentation built on May 28, 2019, 1:52 p.m.
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Description Usage Arguments Details
Description
Groups samples according to group, sorts them within each group based on output and computes the Normalized Discounted Cumulative Gain (NDCG) at 1 for each group. Concretely, the NDCG at 1 is:
Usage
1 |
Arguments
name |
Details
$\mathrmNDCG_1 = \fracgain_(1)\max_i gain_i$
where gain(1)gain(1) means the gain of the first ranked sample.
Samples in the same group must appear in order of decreasing gain.
It returns the average NDCG at 1 across all the groups in the minibatch multiplied by 100 times the number of samples in the minibatch.
This is a forward-only operation, there is no gradient for it.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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