Machine learning¶
For an overview of machine learning with DSS, please see the machine learning quick start.
This reference documentation contains additional details on the algorithms and methods used by DSS.
- Prediction (Classification & Regression)
- Clustering (Unsupervised ML)
- Automated machine learning
- Model Settings Reusability
- Features handling
- Algorithms reference
- Advanced models optimization
- Models ensembling
- Model Document Generator
- Multi-target Regression
- Time Series Forecasting
- Causal Prediction
- Deep Learning
- Generalized Linear Models
- Models lifecycle
- Scoring engines
- Writing custom models
- Exporting models
- Partitioned Models
- ML Diagnostics
- Computer vision
- Labeling
- Recommendation systems
- Reinforcement Learning