API Reference

Here is the autogenerated documentation of the sensAI API.

The Table of Contents to the left has the same structure as the repository’s package code. The links at each page point to the submodules and subpackages.

• lightgbm

• minizinc

• tensor_model

• catboost

• multi_model

• columngen

• naive_bayes

• nearest_neighbors

• feature_importance

• sklearn_quantile

• distance_metric

• xgboost

• vectoriser

• local_search

• vector_model

• hyperopt

• normalisation

• feature_selection

• clustering

• featuregen

• geoanalytics

• torch

• tracking

• sklearn

• pytorch_lightning

• ensemble

• evaluation

• data

• util

• data_transformation

• tensorflow