predict_lm_graddescent: Prediction function for class lm_graddescent
In kimgannon/bis557: Contains Homework Assignments for BIS 557 2020
Description
Usage
Arguments
Examples
Description
This function predicts a value of Y based off a graddescent linear model
Usage
1
predict_lm_graddescent(object, ...)
Arguments
object
the lm_graddescent object
...
the data frame used to fit the object
Examples
1
2
3
4
5
6
data("iris")
irisdf <- as.data.frame(iris)
irissamdf <- irisdf[sample(nrow(irisdf), 0.2*nrow(irisdf)), ]
irisform <- Sepal.Length ~.
obj <- lm_graddescent(irisform, iris, 0.0001, 100000)
predict_lm_graddescent(obj, irisdf)
kimgannon/bis557 documentation built on Nov. 25, 2020, 7:09 a.m.
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Description Usage Arguments Examples
Description
This function predicts a value of Y based off a graddescent linear model
Usage
1 | predict_lm_graddescent(object, ...)
|
Arguments
object |
the lm_graddescent object |
... |
the data frame used to fit the object |
Examples
1 2 3 4 5 6 | data("iris")
irisdf <- as.data.frame(iris)
irissamdf <- irisdf[sample(nrow(irisdf), 0.2*nrow(irisdf)), ]
irisform <- Sepal.Length ~.
obj <- lm_graddescent(irisform, iris, 0.0001, 100000)
predict_lm_graddescent(obj, irisdf)
|
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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