dot-extract: Extraction
In palasso: Paired Lasso Regression
Description
Usage
Arguments
Examples
Description
Extracts cv.glmnet-like object.
Usage
1
.extract(fit, lambda, cvm, type.measure)
Arguments
fit
matrix with one row for each sample
("gaussian", "binomial" and "poisson"),
or one row for each fold (only "cox"),
and one column for each lambda
(output from .fit)
lambda
lambda sequence:
vector of decreasing positive values
cvm
mean cross-validated loss:
vector of same length as lambda
(output from .loss)
type.measure
...
loss function:
character "deviance", "mse", "mae", "class", or "auc"
Examples
1
palasso documentation built on April 19, 2021, 5:07 p.m.
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Description Usage Arguments Examples
Description
Extracts cv.glmnet-like object.
Usage
1 | .extract(fit, lambda, cvm, type.measure)
|
Arguments
fit |
matrix with one row for each sample
("gaussian", "binomial" and "poisson"),
or one row for each fold (only "cox"),
and one column for each |
lambda |
lambda sequence: vector of decreasing positive values |
cvm |
mean cross-validated loss:
vector of same length as |
type.measure |
... loss function: character "deviance", "mse", "mae", "class", or "auc" |
Examples
1 |
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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