Examples

• Binary Classification Example - Rain in Australia Prediction This tutorial demonstrates how to create classification models for the weatherAUS dataset: getting and preprocessing data, transformations, creating models, plotting SHAP values and comparing models.

• Data Preprocessing Example I - New York City Airbnb This tutorial demonstrates how to use the feature_engineering module and all the main features of each class. For this, the AB_NYC_2019 dataset is used.

• Data Preprocessing Example II - New York City Airbnb This tutorial also demonstrates how to use the feature_engineering module, but it covers the automated data preprossesing class and all of its features. For this, the AB_NYC_2019 dataset is used.

• Gradient Boosting Example - Lending Club This tutorial demonstrates how to create classification models for the Lending Club dataset using the Gradient Boosting libraries and the InsolverGBMWrapper class.

• Transforms Inference Example This tutorial demonstrates how to load InsolverTransform transforms from a file using the load_transforms function.

• InsolverDataFrame and InsolverTransform Example This tutorial demonstrates main features of the InsolverDataFrame class and the InsolverTransform class.

• Regression Example - FreeMLP This tutorial demonstrates how to create regression models for the freMPL-R dataset: getting and preprocessing data, transformations, creating models, plotting SHAP values and comparing models.

• Regression Example - US Accidents This tutorial demonstrates how to create regression models for the US Traffic Accident dataset: getting and preprocessing data, transformations, creating models, plotting SHAP values and comparing models.

• Report Example This tutorial demonstrates how to create a HTML report with different models using the Report class.