Here is a list of all documented class members with links to the class documentation for each member:

- g -

• get() : ml::TreeType
• getBias() : BatchNorm1D, TorchCNN, TorchDNN2Level, TorchDNN, TorchDNN_Multi, TorchDNNKernel, TorchDNNV2, TorchDNNV2CUDA
• getCastOperator() : ml::AlwaysFailingTypeFactories, ml::TreeTypeFactories
• getCoefficientVector() : MLFunction
• getCost() : Argmax, BatchNorm1D, ChatGPT, ChatGPTRecommender, Concat, CosineSimilarity, DateToTimestamp, DotProduct, GetAge, GetBinaryClass, GetCustomerFeatures, GetTransactionFeatures, HuggingFaceServerless, HuggingFaceTokenizer, IntEncoder, IsWeekday, MatrixAddition, MatrixMultiply, MatrixMultiply_h, MinMaxScaler, ml::TreePrediction, ml::VeloxTreePrediction, MLFunction, MultiHotNormalizedEncoder, PositionEncoding, RAG, Relu, SequencePooling, Sigmoid, Softmax, StringEncoder, StringVariadicEncoder, SVD, TimeDiffInDays, TorchDNN2Level, TorchDNN, TorchDNNV2, TorchDNNV2CUDA
• getDims() : MLFunction
• getForestPath() : ml::XGBoostPrediction
• getFuncName() : Argmax, Convolute, MatrixAddition, MatrixMultiply, MatrixMultiply_b, MatrixMultiply_Block, MatrixMultiply_h, MatrixVectorAddition, MaxPool, MinMaxScaler, ml::TreePrediction, ml::VeloxTreePrediction, MLFunction, RAG, Relu, Sigmoid, Softmax, SVD, TorchCNN, TorchConvolute, TorchDNN2Level, TorchDNN, TorchDNNKernel, TorchDNNV2, TorchDNNV2CUDA, VectorScalarAddition
• getKernelTypes() : TorchDNNV2, TorchDNNV2CUDA
• getName() : Argmax, BatchNorm1D, ChangeRating, ChatGPT, ChatGPTRecommender, Concat, ConvertDoubleArrayToFloatArray, ConvertDoubleToFloatArray, ConvertToFloatArray, ConvertToIntArray, Convolute, CosineSimilarity, DateToTimestamp, DotProduct, Dropout, Embedding, FullyConnectWithBatchNormAndRelu, GetAge, GetBinaryClass, GetCustomerFeatures, GetTransactionFeatures, HuggingFaceServerless, HuggingFaceTokenizer, IntEncoder, IsWeekday, MatrixAddition, MatrixMultiply, MatrixMultiply_b, MatrixMultiply_Block, MatrixMultiply_h, MatrixVectorAddition, MaxPool, MinMaxScaler, ml::TreePrediction, ml::VeloxTreeConstruction, ml::VeloxTreePrediction, ml::XGBoostPrediction, MultiHotNormalizedEncoder, PositionEncoding, RAG, Relu, SequencePooling, Sigmoid, Softmax, StringEncoder, StringVariadicEncoder, SVD, TimeDiffInDays, TorchCNN, TorchConvolute, TorchDNN2Level, TorchDNN, TorchDNNKernel, TorchDNNV2, TorchDNNV2CUDA, VectorScalarAddition
• getNumDims() : MLFunction
• getNumFeatures() : ml::XGBoostPrediction
• getTensor() : Argmax, BatchNorm1D, ChangeRating, ChatGPT, ChatGPTRecommender, Concat, ConvertDoubleArrayToFloatArray, ConvertDoubleToFloatArray, ConvertToFloatArray, ConvertToIntArray, Convolute, CosineSimilarity, DateToTimestamp, DotProduct, Dropout, Embedding, FullyConnectWithBatchNormAndRelu, GetAge, GetBinaryClass, GetCustomerFeatures, GetTransactionFeatures, HuggingFaceServerless, HuggingFaceTokenizer, IntEncoder, IsWeekday, MatrixAddition, MatrixMultiply, MatrixMultiply_b, MatrixMultiply_Block, MatrixMultiply_h, MatrixVectorAddition, MaxPool, MinMaxScaler, ml::TreePrediction, ml::VeloxTreePrediction, ml::XGBoostPrediction, MLFunction, MultiHotNormalizedEncoder, PositionEncoding, RAG, Relu, SequencePooling, Sigmoid, Softmax, StringEncoder, StringVariadicEncoder, SVD, TimeDiffInDays, TorchCNN, TorchConvolute, TorchDNN2Level, TorchDNN, TorchDNN_Multi, TorchDNNKernel, TorchDNNV2, TorchDNNV2CUDA, VectorScalarAddition
• getType() : ml::AlwaysFailingTypeFactories, ml::TreeTypeFactories
• getWeight() : BatchNorm1D
• getWeightedCost() : MLFunction
• getWeights() : TorchCNN, TorchDNN2Level, TorchDNN, TorchDNN_Multi, TorchDNNKernel, TorchDNNV2, TorchDNNV2CUDA
• getWeightsFile() : BatchNorm1D, Embedding, FullyConnectWithBatchNormAndRelu, MatrixAddition, MatrixMultiply, MatrixVectorAddition, RAG, SVD