Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 12]

▼Nml
CAlwaysFailingTypeFactories	A factory class that always fails to create instances
CNode	Represents a node in a decision tree
CTree	Represents a decision tree used for predictions
CTreePrediction	Implements a machine learning function for tree-based predictions
CTreeT	A struct representing the custom type for trees
CTreeType	A custom opaque type for representing tree structures
CTreeTypeFactories	Factory class for creating instances of TreeType
CVeloxTreeConstruction	A vector function for constructing tree structures
CVeloxTreePrediction	A machine learning function for making predictions using tree models
CVeloxTreePredictionSimpleFunction	A simple function for making predictions using tree models
CXGBoost	A class for managing XGBoost models and making predictions
CXGBoostPrediction	A machine learning function for making predictions using XGBoost models
CArgmax	A class that implements the Argmax function, inheriting from MLFunction
CBatchNorm1D	A class that implements 1D batch normalization, inheriting from MLFunction
CChangeRating	Implements a function to change ratings to binary values
CChatGPT	A class that interacts with OpenAI's ChatGPT API for text generation, inheriting from MLFunction
CChatGPTRecommender	A class that interacts with OpenAI's ChatGPT API for recommendation tasks, inheriting from MLFunction
CConcat	A class that implements a concatenation operation for two input arrays, inheriting from MLFunction
CConvertDoubleArrayToFloatArray	Implements a function to convert a double array to a float array
CConvertDoubleToFloatArray	Implements a function to convert a double vector to a float array
CConvertToFloatArray	Implements a function to convert a float vector to a float array
CConvertToIntArray	Implements a function to convert an integer vector to an integer array
CConvolute	A class for performing 2D convolution operations as part of a machine learning function
CCosineSimilarity	A class that computes the cosine similarity between two input arrays, inheriting from MLFunction
CDateToTimestamp	Implements a function to convert a date string to a timestamp
CDotProduct	Implements a machine learning function for computing the dot product of two input vectors
CDropout	Implements a dropout layer for machine learning, which randomly sets input values to zero during training
CEmbedding	Implements an embedding layer for machine learning, where embeddings are stored as a 2-D array
CForest	A class that represents a random forest model for prediction tasks
CForestPrediction	A class that implements a random forest prediction function, inheriting from MLFunction
CFullyConnectWithBatchNormAndRelu	A class that implements a fully connected layer with batch normalization and ReLU activation, inheriting from MLFunction
CGetAge	Implements a function to calculate the age based on the birth year
CGetBinaryClass	Implements a function to determine the binary class based on probabilities
CGetCustomerFeatures	Implements a function to extract features from customer data
CGetTransactionFeatures	Implements a function to extract features from transaction data
CHuggingFaceServerless	Implements a machine learning function that interacts with Hugging Face's serverless API
CHuggingFaceTokenizer	Implements a machine learning function for tokenizing text using a Hugging Face tokenizer
CIntEncoder	Implements an encoder that maps integer values to encoded integer values
CIsWeekday	Implements a function to check if a given timestamp corresponds to a weekday
CMatrixAddition	Class for performing matrix addition
CMatrixMultiply	Class for performing matrix multiplication
CMatrixMultiply_b	Class for performing blocked matrix multiplication
CMatrixMultiply_Block	Class for performing blocked matrix multiplication
CMatrixMultiply_h	Class for performing matrix multiplication with a hierarchical approach
CMatrixVectorAddition	A class that performs matrix-vector addition, inheriting from MLFunction
CMaxPool	A class that implements max pooling, inheriting from MLFunction
CMinMaxScaler	A class that implements Min-Max scaling, inheriting from MLFunction
CMLFunction	A base class for machine learning functions, inheriting from Velox's VectorFunction
CMultiHotNormalizedEncoder	Implements a multi-hot normalized encoder for integer values
CNNBuilder	Implements a neural network builder for constructing and registering neural network layers
CPositionEncoding	Implements a position encoding function for machine learning tasks
CRAG	Implements a Retrieval-Augmented Generation (RAG) function for machine learning
CRelu	A class that implements the Rectified Linear Unit (ReLU) activation function, inheriting from MLFunction
CSequencePooling	Implements a sequence pooling function for machine learning
CSigmoid	A class that implements the Sigmoid activation function, inheriting from MLFunction
CSoftmax	A class that implements the Softmax activation function, inheriting from MLFunction
CStringEncoder	Implements an encoder that maps string values to encoded integer values
CStringVariadicEncoder	Implements an encoder that maps variadic string values to encoded integer values
CSVD	Implements a Singular Value Decomposition (SVD) function for machine learning
CTimeDiffInDays	Implements a function to calculate the difference in days between two timestamps
CTorchCNN	A class that implements a convolutional neural network (CNN) using PyTorch, inheriting from MLFunction
CTorchConvolute	A class that implements a 2D convolution operation using PyTorch, inheriting from MLFunction
CTorchDNN	A class that implements a deep neural network using PyTorch, inheriting from MLFunction
CTorchDNN2Level	A class that implements a 2-level deep neural network using PyTorch, inheriting from MLFunction
CTorchDNN_Multi	A class that implements a multi-layer deep neural network using PyTorch, inheriting from MLFunction
CTorchDNNKernel	A class that implements a single-layer neural network kernel using PyTorch, inheriting from MLFunction
CTorchDNNV2	A class that implements a configurable deep neural network using PyTorch, inheriting from MLFunction
CTorchDNNV2CUDA	A class that implements a configurable deep neural network using PyTorch with CUDA support, inheriting from MLFunction
CVectorScalarAddition	A class that implements vector-scalar addition, inheriting from MLFunction