Generating a matching model - 7.0

Matching with machine learning

author
Talend Documentation Team
EnrichVersion
7.0
EnrichProdName
Talend Big Data Platform
Talend Data Fabric
Talend Data Management Platform
Talend Data Services Platform
Talend MDM Platform
Talend Real-Time Big Data Platform
task
Data Governance > Third-party systems > Data Quality components > Matching components > Matching with machine learning components
Data Quality and Preparation > Third-party systems > Data Quality components > Matching components > Matching with machine learning components
Design and Development > Third-party systems > Data Quality components > Matching components > Matching with machine learning components
EnrichPlatform
Talend Data Stewardship
Talend Studio

This scenario applies only to subscription-based Talend Platform products with Big Data and Talend Data Fabric.

For more technologies supported by Talend, see Talend components.

The tMatchModel component reads the suspect sample pairs generated by the tMatchPairing component and manually labeled by you.

The tMatchModel component generates several matching models, searches the best combination of the learning parameters automatically and keeps the best matching model which comes out as the result of cross validation.

The use case described here uses the following components:

  • A tFileInputDelimited component reads the source file, which contains the suspect data pairs generated by tMatchPairing.

  • A tMatchModel component generates the features from the suspect records, implements the Random Forest algorithm and creates a classification model.