Introduction

Use-Case

• Transform input features(tokens in array form) into n-grams using parameter for number of terms in each n-gram.
• Transformed output will be an array of n-grams where each n-gram is represented by a space-delimited string of n consecutive words.

User Stories

• As a Hydrator user,I want to transfom input features data in a column from source schema into output schema which will have a single column having n-gram data.
• As a Hydrator user I want to have configuration for specifying the column name from input schema on which transformation has to be performed.
• As a Hydrator user I want to have configuration to specify the no of terms which would be used for transformation of input features into n-grams.
• As a Hydrator user I want to have configuration to specify output column name wherein ngrams will be emitted.

Conditions

• Source field ,to be transformed,can be of only type string array type.
• User can transform single column only from the source schema.
• Output schema will have a single column of type string array.
  
  

Example

Input source:

NGramTerms:

Mandatory inputs from user:

• • Column to be used to transform input features into n-grams:”tokens”
  • No of terms in each n-gram:”2”
  • Transformed column for sequence of n-gram:”ngrams”
    
    

Output:

Design

Properties:

• **columnToBeTransformed:** Column to be used to transform input features into n-grams.

• **noOfTerms:** No of terms in each n-gram.

• **outputColumn:** Transformed column for sequence of n-gram.

Input JSON:

         {
           "name": "NGramTerms",
           "type": "sparkcompute",
           "properties": {
                                   "columnToBeTransformed": "tokens",
                                   "noOfTerms": "2",
                                   "outputColumn": "ngrams"
                                }
          }