Low-level usage - Examples

Example for in-a-nutshell overview

• Building blocks of halerium models

Example explaining the principles

• Example: Inheritance and body heights

Examples illustrating the training process

• Simple training with the Trainer
• More on training models
• What happens during model creation and training

Example explaining the available distributions

• Distributions

Regression examples

• Regression
• Gaussian Process Regression
• Logistic regression

Efficient structure creation and reuse

• Copying, templating and serialization

Examples explaining the objective classes

• Estimate probabilities with the Probability Estimator
• Estimate influences with the Influence Estimator
• Make predictions with the Predictor
• Evaluate the quality of a model with the Evaluator
• Estimate ranks with the RankEstimator
• Detecting outliers with the OutlierDetector

Examples on causal calculus

• Causal Models - the Basics

Examples on time-series modeling

• Creating MA, AR, and ARMA Graphs
• Applying an SARIMA model to the DutchSales data

Examples illustrating the advantages of Halerium

These examples illustrate the advantages of Halerium compared to standard machine learning packages:

• Full densities instead of point predictions
• Model uncertainty propagation
• Training with missing data
• Encoding causal structure
• Reusing models