predict.gd_object: Prediction based on a gradient descent object
In nixgank-wang/bis557: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Examples
Description
This function takes in a gradient descent model object and a data set, returns the
prediction based on the model.
Usage
1
2
Arguments
object
A gradient descent model object
...
An input dataset which we need prediction of.
Examples
1
2
3
4
library(palmerpenguins)
data(penguins)
my_fit =gradient_descent(bill_length_mm ~ ., data = penguins[,-8],alpha=0.1,num_iters=1000)
my_gd_predict = predict.gd_object(my_fit,penguins[,-8])
nixgank-wang/bis557 documentation built on Dec. 26, 2020, 9:54 p.m.
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Description Usage Arguments Examples
Description
This function takes in a gradient descent model object and a data set, returns the prediction based on the model.
Usage
1 2 |
Arguments
object |
A gradient descent model object |
... |
An input dataset which we need prediction of. |
Examples
1 2 3 4 | library(palmerpenguins)
data(penguins)
my_fit =gradient_descent(bill_length_mm ~ ., data = penguins[,-8],alpha=0.1,num_iters=1000)
my_gd_predict = predict.gd_object(my_fit,penguins[,-8])
|
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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