d.c.step2: Random Forest - Step 2
In Vitlik/DA2-17: Image Recognition
Description
Usage
Arguments
Value
Author(s)
Examples
Description
To get (back) to the overview of all steps and functions use this link:
a.a.main
Usage
1
d.c.step2(testData, rfModel)
Arguments
testData
A dataframe with number of images as rowsize and number of features as columnsize that holds the feature data which should be predicted
rfModel
A randomForest classification model
Value
A vector that holds the prediction for testData with length equal to the number of images in the dataset
Author(s)
Vitali Friesen, Colin Juers, Tassilo Tobollik
Examples
1
\code{pred <- d.c.step2(testData, rfModel)}
Vitlik/DA2-17 documentation built on May 20, 2019, 11:12 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 Author(s) Examples
Description
To get (back) to the overview of all steps and functions use this link:
a.a.main
Usage
1 | d.c.step2(testData, rfModel)
|
Arguments
testData |
A dataframe with number of images as rowsize and number of features as columnsize that holds the feature data which should be predicted |
rfModel |
A randomForest classification model |
Value
A vector that holds the prediction for testData with length equal to the number of images in the dataset
Author(s)
Vitali Friesen, Colin Juers, Tassilo Tobollik
Examples
1 | \code{pred <- d.c.step2(testData, rfModel)}
|
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.