Gradient Descent for Regression Tasks

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Documentation for package ‘gradDescent’ version 3.0

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ADADELTA ADADELTA Method Learning Function
ADAGRAD ADAGRAD Method Learning Function
ADAM ADADELTA Method Learning Function
AGD Accelerated Gradient Descent (AGD) Method Learning Function
GD Gradient Descent (GD) Method Learning Function
gradDescentR.learn GradDescent Learning Function
gradDescentRData Data set of the package
MBGD Mini-Batch Gradient Descent (MBGD) Method Learning Function
MGD Momentum Gradient Descent (MGD) Method Learning Function
minmaxDescaling Min-Max Scaling Revert Function
minmaxScaling The Min-Max Feature Scaling Function
predict The gradDescentR prediction stage
predict.gradDescentRObject The gradDescentR prediction stage
prediction Predicting Function for Linear Model
RMSE RMSE Calculator Function
RMSPROP ADADELTA Method Learning Function
SAGD Stochastic Average Gradient Descent (SAGD) Method Learning Function
SARAH Stochastic Recursive Gradient Algorithm (SARAH) Method Learning Function
SARAHPlus Stochastic Recursive Gradient Algorithm+ (SARAH+) Method Learning Function
SGD Stochastic Gradient Descent (SGD) Method Learning Function
splitData The Data Spliting Function
SSGD Semi Stochastic Gradient Descent (SSGD) Method Learning Function
SVRG Stochastic Variance Reduce Gradient (SVRG) Method Learning Function
varianceDescaling Variance/Standardization Revert Function
varianceScaling The Variance/Standardization Feature Scaling Function