How to use superml to Get Label Encoding in R programming In R Language
The superml package in R is designed to unify the model training process in R. It can be downloaded and installed into the working space using the following command :
install.packages("superml")
Initially, a new label encoder object is instantiated using LabelEncoder$new(). The vector supplied as input is used for fitting the model. The transformation takes place using the fit_transform method, which performs the transformation. The final result is the numerical vector.
The following sequence of operations is performed :
- encoder$fit(x)
- encoder$fit_transform(x)
- encoder$transform(x)
Arguments :
- x – The vector to be supplied
- In the following code snippet, there were 2 groups therefore, numerically a binary vector of 0s and 1s have been created.
After installing the superml library with the above mentioned command, we can now run the below code.
R
x = c("Geekster","w3wiki","Geekster","Geekster", "w3wiki","w3wiki","Geekster","w3wiki", "Geekster","Geekster") print("Original Data Vector") print(x ) # create a label encoder object encoder = LabelEncoder$new() # fitting the data over the x vector encoder$fit(x) # transforming the data encoder$fit_transform(x) # printing the transformed data encoder$transform(x) |
Output:
Label Encoding in R programming
The data that has to be processed for performing manipulations and Analyses should be easily understood and well denoted. The computer finds it difficult to process strings and other objects when data training and predictions based on it have to be performed. Label encoding is a mechanism to assign numerical values to the string variables so that they are easily transformed and fed into various models. Therefore label encoders typically perform the conversion of categorical variables into integral values. Decoders perform the reverse operation.
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