ComputeGlobalErrorMetafeature: Computes the importance as the median absolute error for all...
In ncats/MultiOmicsGraphPrediction: Network-Based Ensemble Prediction from IntLIM Predictors
View source: R/metafeaturefunctions.R
ComputeGlobalErrorMetafeature R Documentation
Computes the importance as the median absolute error for all predictors
on all samples except the sample in question.
Description
Computes the importance as the median absolute error for all predictors
on all samples except the sample in question.
Usage
ComputeGlobalErrorMetafeature(predictions, true)
Arguments
predictions
Prediction data frame, where rows are samples, and
columns are predictors.
true
Named vector of the true outcome values.
Value
A data frame with the importance metric for each sample and each
predictor.
ncats/MultiOmicsGraphPrediction documentation built on Aug. 23, 2023, 9:19 a.m.
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View source: R/metafeaturefunctions.R
| ComputeGlobalErrorMetafeature | R Documentation |
Computes the importance as the median absolute error for all predictors on all samples except the sample in question.
Description
Computes the importance as the median absolute error for all predictors on all samples except the sample in question.
Usage
ComputeGlobalErrorMetafeature(predictions, true)
Arguments
predictions |
Prediction data frame, where rows are samples, and columns are predictors. |
true |
Named vector of the true outcome values. |
Value
A data frame with the importance metric for each sample and each predictor.
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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