conf_CQR_prelim: preliminary function for CQR
In Elsa-Yang98/ConformalSmallest: Efficient Tuning-Free Conformal Prediction
Description
Usage
Arguments
Value
View source: R/conf_CQR_prelim.R
Description
preliminary function for CQR
Usage
1
conf_CQR_prelim(X1, Y1, X2, Y2, beta_grid, mtry, ntree, alpha = 0.1)
Arguments
X1
A n1*d matrix for training
Y1
A n1*1 vector for training
X2
A n2*d matrix for calibration
Y2
A n2*1 vector for calibration
beta_grid
a grid of beta's
mtry
mtry parameter in random forest
ntree
number of trees parameter in random forest
alpha
miscoverage level
Value
the smallest width and its corresponding beta
Elsa-Yang98/ConformalSmallest documentation built on Dec. 17, 2021, 6:28 p.m.
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Description Usage Arguments Value
View source: R/conf_CQR_prelim.R
Description
preliminary function for CQR
Usage
1 | conf_CQR_prelim(X1, Y1, X2, Y2, beta_grid, mtry, ntree, alpha = 0.1)
|
Arguments
X1 |
A n1*d matrix for training |
Y1 |
A n1*1 vector for training |
X2 |
A n2*d matrix for calibration |
Y2 |
A n2*1 vector for calibration |
beta_grid |
a grid of beta's |
mtry |
mtry parameter in random forest |
ntree |
number of trees parameter in random forest |
alpha |
miscoverage level |
Value
the smallest width and its corresponding beta
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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