tMatchModel - 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

Generates the matching model that is used by the tMatchPredict component to automatically predict the labels for the suspect pairs and groups records which match the label(s) set in the component properties.

For further information about the tMatchPairing and tMatchPredict components, see tMatchPairing and tMatchPredict respectively.

tMatchModel reads the sample of the suspect pairs outputted by tMatchPairing after you label each second element in a pair, analyzes the data using the Random Forest algorithm and generates a matching model.

You can use the sample suspect records labeled in a Grouping campaign defined on the Talend Data Stewardship server with tMatchModel.

For further information about Grouping campaigns, see Adding a Grouping campaign to identify duplicate pairs.

This component can run only with the following Hadoop distributions with Spark 1.6+ and 2.0:
  • Spark 1.6: CDH5.7, CDH5.8, HDP2.4.0, HDP2.5.0, MapR5.2.0, EMR4.5.0, EMR4.6.0.

  • Spark 2.0: EMR5.0.0.

For more technologies supported by Talend, see Talend components.