Man pages for yanyachen/rFTRLProximal
FTRL-Proximal Algorithm
| dim.ftrl.Dataset | Dimensions of ftrl.Dataset |
| FTRLProx_as_Matrix | Transform Data Frame to Sparse Design Matrix for... |
| FTRLProx_cv | FTRL-Proximal Linear Model Cross Validation |
| FTRLProx_Hashing | Feature Hashing for FTRL-Proximal Model |
| FTRLProx_importance | FTRL-Proximal Linear Model Feature Importance Function |
| FTRLProx_Matrix_Match | Transform Sparse Design Matrix to Assigned Schema |
| FTRLProx_Model_Matrix | Construct Sparse Design Matrix for FTRL-Proximal Model |
| FTRLProx_predict | FTRL-Proximal Linear Model Predicting |
| FTRLProx.predict.spMatrix | (Depreciated) FTRL-Proximal Linear Model Predicting Function |
| FTRLProx_train | FTRL-Proximal Linear Model Training |
| FTRLProx_train_spMatrix | FTRL-Proximal Linear Model Fitting Function |
| FTRLProx.train.spMatrix | (Depreciated) FTRL-Proximal Linear Model Fitting Function |
| Mapping_DT_Decompose | Decompose Feature Mapping DT This is used for decomposing... |
| Mapping_DT_Gen | Create Feature Mapping DT This is used for creating feature... |
| Mapping_DT_Update | Update Feature Mapping DT This is used for updating feature... |
| Perf_Print | Performance Printing Function This is used for printing model... |
| predict_spMatrix | FTRL-Proximal Linear Model Predicting Function |
| print.ftrl.Dataset | Print ftrl.Dataset |
| rFTRLProximal | rFTRLProximal: FTRL-Proximal Algorithm |
| slice.ftrl.Dataset | Subsetting ftrl.Dataset |
