BuildPrediction: predict the classes using trained algorithms and give...
In zahrakhoshmanesh/FinalProjectSTAT585: Sentiment Analysis of Reviews
Description
Usage
Arguments
Value
Author(s)
Examples
Description
predict the classes using trained algorithms and give cnfusion matrix in return
Usage
1
Arguments
x
input is a dataframe for bag of word file in which columns are the terms and row are binary variable 1 if that term exist in that data instance
Value
3 confusion matrix for each trained classification algorithm
Author(s)
Atousa Zarindast
Examples
1
2
3
4
5
6
7
8
## Not run:
library(SentiAnalyzer)
csv_data <- read.csv(system.file(package = "SentiAnalyzer", "extdata/testing.csv"))
my_training_data <- BuildPrediction(csv_data)
## End(Not run)
# Predicted_obj <- BuildPrediction(csv_data)
zahrakhoshmanesh/FinalProjectSTAT585 documentation built on June 4, 2019, 1:57 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
predict the classes using trained algorithms and give cnfusion matrix in return
Usage
1 |
Arguments
x |
input is a dataframe for bag of word file in which columns are the terms and row are binary variable 1 if that term exist in that data instance |
Value
3 confusion matrix for each trained classification algorithm
Author(s)
Atousa Zarindast
Examples
1 2 3 4 5 6 7 8 | ## Not run:
library(SentiAnalyzer)
csv_data <- read.csv(system.file(package = "SentiAnalyzer", "extdata/testing.csv"))
my_training_data <- BuildPrediction(csv_data)
## End(Not run)
# Predicted_obj <- BuildPrediction(csv_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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