Generate External Model | BYOM | Teradata Vantage - 2.0 - Generating External Model for BYOM Use - Teradata Vantage

Teradata Vantage™ - Bring Your Own Model User Guide

Product
Teradata Vantage
Release Number
2.0
Release Date
October 2021
Content Type
User Guide
Publication ID
B700-1111-051K
Language
English (United States)

PMML

Vantage BYOM PMMLPredict function supports the following external models:
  • Anomaly Detection
  • Association Rules
  • Cluster
  • General Regression
  • k-Nearest Neighbors
  • Naive Bayes
  • Neural Network
  • Regression
  • Ruleset
  • Scorecard
  • Random Forest
  • Decision Tree
  • Vector Machine
  • Multiple Models

Some Machine Learning tools and platforms can generate PMML models directly. Other models must be converted to PMML. For examples of Python pipelines that generate PMML models, see Python Pipelines for PMML Models.

MOJO

Vantage BYOM MOJO predict supports the following external models:
  • Cox Proportional Hazards (CoxPH)
  • Deep Learning (Neural Networks)
  • Distributed Random Forest (DRF)
  • Generalized Linear Model (GLM)
  • Generalized Additive Models (GAM)
  • Gradient Boosting Machine (GBM)
  • Naïve Bayes Classifier
  • RuleFit
  • Stacked Ensembles
  • Support Vector Machine (SVM)
  • XGBoost
  • Generalized Low Rank Models (GLRM)
  • Isolation Forest
  • K-Means Clustering
  • Principal Component Analysis (PCA)

H2O generates MOJO models directly. For examples of Python pipelines that generate MOJO models, see Python Code to Generate H2O Open Source Models.