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

- s -

• SequencePooling() : SequencePooling
• setWeight() : ChangeRating, ConvertDoubleArrayToFloatArray, ConvertDoubleToFloatArray, ConvertToFloatArray, ConvertToIntArray, Dropout
• setWeights() : BatchNorm1D, Embedding, FullyConnectWithBatchNormAndRelu, MatrixAddition, MatrixMultiply, MatrixVectorAddition, RAG, SVD
• Sigmoid() : Sigmoid
• sigmoidFunction() : Sigmoid
• signatures() : 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, TorchDNN_Multi, TorchDNNKernel, TorchDNNV2, TorchDNNV2CUDA, VectorScalarAddition
• Softmax() : Softmax
• StringEncoder() : StringEncoder
• StringVariadicEncoder() : StringVariadicEncoder
• SVD() : SVD