strip_model: Strip objects unnecessary for prediction with class.
In ddeploy: Wrapper for the Duke Deploy REST API
Description
Usage
Arguments
Value
Examples
Description
Strip objects unnecessary for prediction with class.
Usage
1
strip_model(model_object, model_class = NULL)
Arguments
model_object
the model to strip pre-deployment.
model_class
model class string e.g. "lm", "glm", "gam" ...
Value
None
Examples
1
2
3
example_data <- as.data.frame(cbind(gl(3,50),rnorm(150)));names(example_data) <- c("x","y")
example_fit <- lm(y~x,data=example_data)
strip_model(example_fit,"lm")
ddeploy documentation built on May 30, 2017, 1:20 a.m.
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.
Description Usage Arguments Value Examples
Description
Strip objects unnecessary for prediction with class.
Usage
1 | strip_model(model_object, model_class = NULL)
|
Arguments
model_object |
the model to strip pre-deployment. |
model_class |
model class string e.g. "lm", "glm", "gam" ... |
Value
None
Examples
1 2 3 | example_data <- as.data.frame(cbind(gl(3,50),rnorm(150)));names(example_data) <- c("x","y")
example_fit <- lm(y~x,data=example_data)
strip_model(example_fit,"lm")
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.