Scala and Spark for Big Data Analytics

Standard Transformer

A standard Transformer transforms the input dataset into the output dataset, explicitly applying transformation function to the input data. There is no dependency on the input data other than reading the input column and generating the output column.

Such Transformers are invoked as shown next:

outputDF = transfomer.transform(inputDF)

Examples of standard Transformers are as follows and will be explained in detail in the subsequent sections:

• Tokenizer: This splits sentences into words using space as the delimiter
• RegexTokenizer: This splits sentences into words using regular expressions to split
• StopWordsRemover: This removes commonly used stop words from the list of words
• Binarizer: This converts the strings to binary ...