Hands-on Deep Learning with R by Michael Pawlus

Author:Michael Pawlus [Michael Pawlus]
Language: eng
Format: epub
Tags: COM004000 - COMPUTERS / Intelligence (AI) and Semantics, COM037000 - COMPUTERS / Machine Theory, COM018000 - COMPUTERS / Data Processing
Publisher: Packt Publishing
Published: 2020-04-24T05:03:54+00:00

ohe <- caret::dummyVars(" ~ .", data = train_chars)

train_ohe <- data.frame(predict(ohe, newdata = train_chars))

After running the preceding code, we will have two new data objects in our Environment pane. One is the ohe object, which is a list with all the details that we need to convert our string columns to dummy variables, and the other is the train_ohe object, which contains the dummy variables. Your Environment pane will now look as follows:

We can see that creating dummy variables results in a dataset with many more columns than our original data. As stated, we take every column name and value pair and create a new column, which results in the growth of columns.

After the columns containing string values have been converted to columns with numeric values, then we can column-bind both subsets back together again. We combine the data that was already numeric and the data that was converted to a numeric format using the following line of code:

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.