Key features of teradataml AutoML:
- Supports different problem types:
- Regression
- Binary Classification
- Multiclass Classification
- Provides five different models for training based on problem types:
- GLM
- SVM
- Decision Forest
- XGBoost
- KNN
- Gives flexibility to select specific models out of available models.
- Performs all five phases in automated way, but can also be customized based on user input.
- Generates model leaderboard and leader for given dataset.
- Provides prediction on validation dataset as well as user passed data using model leader or any other model from leaderboard.
- Provides three different logging levels to display required contents, higher level provides more detailed output.