Combining feature vectors - 7.0

Machine Learning

Version
7.0
Language
English (United States)
Product
Talend Big Data
Talend Big Data Platform
Talend Data Fabric
Talend Real-Time Big Data Platform
Module
Talend Studio
Content
Data Governance > Third-party systems > Machine Learning components
Data Quality and Preparation > Third-party systems > Machine Learning components
Design and Development > Third-party systems > Machine Learning components

Procedure

  1. Double-click the tModelEncoder component labelled features_assembler to open its Component view.
  2. Repeat the operations described previously over the tModelEncoder labelled Tokenizer to add the features_vect column of the Vector type to the output schema and define the transformation as displayed in the image above.
    Note that the parameter to be put in the Parameters column is inputCols=sms_tf_idf_vect,num_currency,num_numeric,num_exclamation.
    In this transformation, tModelEncoder combines all feature vectors into one single feature column.