tNaiveBayesModel - 7.3

Machine Learning

Version
7.3
Language
English
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
Last publication date
2024-02-21

Generates a classifier model that is used by tPredict to classify given elements.

tNaiveBayesModel analyzes incoming datasets based on applying Bayes' law with the (naive) assumption that the analyzed features of an element are independent of each other.

It generates a classification model out of this analysis and writes this model in a given file system in the PMML (Predictive Model Markup Language) format.

In local mode, Apache Spark 1.4.0, 1.5.0, 1.6.0, 2.0.0, 2.3.0, 2.4.0 and 3.0 are supported.

You must use tModelEncoder in your Job to prepare and provide the incoming dataset.

For more technologies supported by Talend, see Talend components.