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 |
gradDescentRData | Data set of the package |
gradDescentR.learn | GradDescent Learning Function |
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.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... |
SARAH | Stochastic Recursive Gradient Algorithm (SARAH) Method... |
SARAHPlus | Stochastic Recursive Gradient Algorithm+ (SARAH+) Method... |
SGD | Stochastic Gradient Descent (SGD) Method Learning Function |
splitData | The Data Spliting Function |
SSGD | Semi Stochastic Gradient Descent (SSGD) Method Learning... |
SVRG | Stochastic Variance Reduce Gradient (SVRG) Method Learning... |
varianceDescaling | Variance/Standardization Revert Function |
varianceScaling | The Variance/Standardization Feature Scaling Function |
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