Here is a list of all documented files with brief descriptions:
| BaseFunction.h | |
| BatchNorm.h | |
| ChatGPT.h | |
| Concat.h | |
| CosineSimilarity.h | |
| DecisionForest.h | |
| DecisionTree.h | Implementation of a decision tree for machine learning predictions |
| DotProduct.h | Implementation of a dot product function for machine learning |
| Dropout.h | Implementation of a dropout layer for machine learning |
| Embedding.h | Implementation of an embedding layer for machine learning |
| Encoder.h | Implementation of various encoder classes for machine learning |
| FraudDetectionFunctions.h | Implementation of various utility functions for machine learning |
| functions.h | Header file containing various machine learning functions and utilities |
| HuggingFaceServerless.h | Implementation of a Hugging Face serverless API integration for machine learning tasks |
| HuggingFaceTokenizer.h | Implementation of a Hugging Face tokenizer for machine learning tasks |
| NNBuilder.h | Implementation of a neural network builder for constructing and registering neural network layers |
| PositionEncoding.h | Implementation of a position encoding function for machine learning |
| RAG.h | Implementation of a Retrieval-Augmented Generation (RAG) function for machine learning |
| SequencePooling.h | Implementation of a sequence pooling function for machine learning |
| SVD.h | Implementation of a Singular Value Decomposition (SVD) function for machine learning |
| UtilFunction.h | Implementation of utility functions and classes for machine learning tasks |
| VeloxDecisionTree.h | This file contains the implementation of custom types and functions for tree-based machine learning models in Velox |
| XGBoost.h | This file contains the implementation of XGBoost-based machine learning functions in Velox |