predict_model.easy_glmnet: Predict values for a penalized regression model.
In easyml: Easily Build and Evaluate Machine Learning Models
Description
Usage
Arguments
Value
Description
This function wraps the procedure for predicting values from
a glmnet model and makes it accessible
to the easyml core framework.
Usage
1
2
## S3 method for class 'easy_glmnet'
predict_model(object, newx = NULL)
Arguments
object
A list of class easy_glmnet.
newx
A data.frame, the new data to use for predictions.
Value
A vector, the predicted values using the new data.
easyml documentation built on June 26, 2017, 9:02 a.m.
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Description Usage Arguments Value
Description
This function wraps the procedure for predicting values from a glmnet model and makes it accessible to the easyml core framework.
Usage
1 2 | ## S3 method for class 'easy_glmnet'
predict_model(object, newx = NULL)
|
Arguments
object |
A list of class |
newx |
A data.frame, the new data to use for predictions. |
Value
A vector, the predicted values using the new data.
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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