make.pred.df.from.model: Create a Data Frame of Predictions for ChIPseq Data Using a...
In PriceLab/FPML: Footprint Machine Learning
Description
Usage
Arguments
Value
Description
Given a boosted model, a set of predictors, and a set of responses, create predicted
responses and put them together with the actual responses.
Usage
1
make.pred.df.from.model(gbdt.model, X.testdata, y.testdata)
Arguments
gbdt.model
A gradient boosted model
X.testdata
A matrix of predictors in the testing set
y.testdata
A vector of responses in the testing set
Value
A data frame containing the model name, the predicted responses, and the actual responses
for the test dataset
PriceLab/FPML documentation built on May 28, 2019, 2:25 p.m.
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Description Usage Arguments Value
Description
Given a boosted model, a set of predictors, and a set of responses, create predicted responses and put them together with the actual responses.
Usage
1 | make.pred.df.from.model(gbdt.model, X.testdata, y.testdata)
|
Arguments
gbdt.model |
A gradient boosted model |
X.testdata |
A matrix of predictors in the testing set |
y.testdata |
A vector of responses in the testing set |
Value
A data frame containing the model name, the predicted responses, and the actual responses for the test dataset
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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