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.