Stochasitc Gradient Descent Framework.
Parameters:
| Gradient | gradient class which suite into this framework. |
template <typename Gradient> class SGDFramework // direct descendants template < typename MType, int WAxi, int WData, int BurstLen, int D, int DDepth, RAMType RAMWeight, RAMType RAMIntercept, RAMType RAMAvgWeight, RAMType RAMAvgIntercept > class xf::data_analytics::regression::internal::LASSORegressionSGDTrainer template < typename MType, int WAxi, int WData, int BurstLen, int D, int DDepth, RAMType RAMWeight, RAMType RAMIntercept, RAMType RAMAvgWeight, RAMType RAMAvgIntercept > class xf::data_analytics::regression::internal::linearLeastSquareRegressionSGDTrainer template < typename MType, int WAxi, int WData, int BurstLen, int D, int DDepth, RAMType RAMWeight, RAMType RAMIntercept, RAMType RAMAvgWeight, RAMType RAMAvgIntercept > class xf::data_analytics::regression::internal::ridgeRegressionSGDTrainer // typedefs typedef Gradient::DataType MType // fields static const int WAxi static const int D static const int Depth ap_uint <32> offset ap_uint <32> rows ap_uint <32> cols ap_uint <32> bucketSize float fraction bool ifJump MType stepSize MType tolerance bool withIntercept ap_uint <32> maxIter Gradient gradProcessor