Generating a matching model from a Grouping campaign - 6.5

Matching with machine learning

EnrichVersion
6.5
EnrichProdName
Talend Big Data Platform
Talend Data Fabric
Talend Real-Time Big Data Platform
EnrichPlatform
Talend Studio
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

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.

tMatchModel reads the sample of suspect pairs computed on a list of duplicate childhood education centers and labeled by data stewards in Talend Data Stewardship. It generates several matching models, searches the best combination of the learning parameters and keeps the best matching model which comes out as the result of cross validation.

Prerequisites: