SAP ABAP Function Module - Index R, page 62
- R-1 R-2 R-3 R-4 R-5 R-6 R-7 R-8 R-9 R-10 R-11 R-12 R-13 R-14 R-15 R-16 R-17 R-18 R-19 R-20 R-21 R-22 R-23 R-24 R-25 R-26 R-27 R-28 R-29 R-30 R-31 R-32 R-33 R-34 R-35 R-36 R-37 R-38 R-39 R-40 R-41 R-42 R-43 R-44 R-45 R-46 R-47 R-48 R-49 R-50 R-51 R-52 R-53 R-54 R-55 R-56 R-57 R-58 R-59 R-60 R-61 R-62 R-63 R-64 R-65 R-66 R-67
Function Module - R
| # | Function Module | Mode | Short Description |
|---|---|---|---|
| |
|
|
|
| 1 | Initialisation of input data | ||
| 2 | Initialisation of input data | ||
| 3 | Generation of large itemsets | ||
| 4 | Interface to the algorithm for genertaing association rules | ||
| 5 | Interface to the algorithm for genertaing association rules | ||
| 6 | Interface to the algorithm for genertaing association rules | ||
| 7 | Creation of index on LIS tables | ||
| 8 | Creation of enumerated data table | ||
| 9 | Creation of table for LIS | ||
| 10 | Deletion of tables generated during training | ||
| 11 | Deletion of index of LIS table | ||
| 12 | Deletion of generated tables | ||
| 13 | Deletion of large itemsets and association rules of a model | ||
| 14 | Deletion of large itemsets and association rules of a model | ||
| 15 | Deletion of large itemsets and association rules of a model | ||
| 16 | Data enumeration | ||
| 17 | Generate subroutine pool for enumeration | ||
| 18 | Validation of user parameters | ||
| 19 | Validation of user parameters | ||
| 20 | Retreiving the large itemsets | ||
| 21 | Retreiving the large itemsets | ||
| 22 | Retreiving association rules | ||
| 23 | Retreiving association rules | ||
| 24 | Retreiving association rules | ||
| 25 | Retreiving association rules | ||
| 26 | Retreiving association rules - Using Cursors | ||
| 27 | Get analysis results from DME | ||
| 28 | Retreiving association rules | ||
| 29 | Consistency check for Extraction in Association Engine | ||
| 30 | Get GUID attributes Information | ||
| 31 | For the generation of Extract Structure specififc to the Model | ||
| 32 | DIsplays dataelement help | ||
| 33 | Determines Texts for Domains | ||
| 34 | Check DME jobs | ||
| 35 | ABC Output Visualisation with Excel Integration | ||
| 36 | ABC Output Visualisation with Excel Integration | ||
| 37 | Association discovery | ||
| 38 | Association discovery | ||
| 39 | Clustering Output Visualisation with Excel Integration | ||
| 40 | Clustering Output Visualisation with Excel Integration | ||
| 41 | Clustering Output Visualisation with Excel Integration | ||
| 42 | Decision trees output - hierarchy | ||
| 43 | Decision trees output - hierarchy | ||
| 44 | Scoring Output Visualisation with Excel Integration | ||
| 45 | Scoring Output Visualisation with Excel Integration | ||
| 46 | to show the output of mining models | ||
| 47 | Execute What-If Prediction for given field values - INBOUND function | ||
| 48 | Get details of a model | ||
| 49 | Execute What-If Prediction for given field values - INBOUND function | ||
| 50 | Get field values for Clustering Model | ||
| 51 | Get Field Values for Decision Tree Model | ||
| 52 | Search for model(s) | ||
| 53 | Check if BW Upload is possible (Generic - For All Engines) | ||
| 54 | Check if a BW object is already scheduled for update | ||
| 55 | Get Batch Details | ||
| 56 | Returns list of Model Keys and Compounds (if any) | ||
| 57 | Get a list of uploadable attributes | ||
| 58 | Details of Uploadable Attribute - to get Data | ||
| 59 | Insert Data into batch tables for Generic BW Upload | ||
| 60 | Generic Start Function for BW Upload - MD & ODS | ||
| 61 | Generic function module to return data in BW format | ||
| 62 | General Checks - Model/Infoobject/Hierarchy | ||
| 63 | Check the given Hierarchy Details are consistent | ||
| 64 | Check if the given infoobject is hierarchy enabled | ||
| 65 | Check before creating the target group | ||
| 66 | Create Hierarchy for DTree using RSNDI_SHIE functions | ||
| 67 | BW Hierarchy Creation - Get Batch Details | ||
| 68 | BW Hierarchy Creation - Put Batch Details | ||
| 69 | Generic Start Function for BW Hierarchy Creation for Decision Trees | ||
| 70 | Transform Decision Tree to BW hierarchy format | ||
| 71 | Check function for BW Master Data Upload | ||
| 72 | Check function for BW Master Data Upload | ||
| 73 | Check function for BW Master Data Upload | ||
| 74 | Upload Mining Results into BW Infoobject Master Data | ||
| 75 | Check ODS | ||
| 76 | Read data from a transactional ODS object | ||
| 77 | Load Data into ODS | ||
| 78 | Upload Mining Results into BW Infoobject Master Data | ||
| 79 | Get Batch Details for BW Upload | ||
| 80 | Put Batch Details for BW Upload into Database | ||
| 81 | Get a list of uploadable attributes | ||
| 82 | Details of Uploadable Attribute - to get Data | ||
| 83 | Create a Key Table | ||
| 84 | Create Enumeration Tables | ||
| 85 | Delete Enumeration Table | ||
| 86 | Fill Userparameter Structures | ||
| 87 | Function module to retrieve the PMML | ||
| 88 | Create Weighted Table | ||
| 89 | Map external parameters to engine specific attributes | ||
| 90 | Store results to DDIC Tables | ||
| 91 | Preprocess Attributes in the Input Data | ||
| 92 | Process attributes | ||
| 93 | Model Training Interface | ||
| 94 | Model Training Interface | ||
| 95 | Update Attr detail | ||
| 96 | Update Attr header | ||
| 97 | Column Parameters validation | ||
| 98 | Model Columns validation | ||
| 99 | User Parameters validation | ||
| 100 | Assign records to clusters | ||
| 101 | Compare means between iterations | ||
| 102 | Cummulate Weight & update mean details | ||
| 103 | Cummulate Weight & update mean details | ||
| 104 | Distance Calculator | ||
| 105 | Get Distribution of attributes across clusters | ||
| 106 | Initialize means | ||
| 107 | Final Mean Initialization | ||
| 108 | Loop on input | ||
| 109 | Final Loop on input | ||
| 110 | Merge samples | ||
| 111 | Sampling of Input data | ||
| 112 | Start | ||
| 113 | Update mean details | ||
| 114 | Final update mean details | ||
| 115 | Assign records to clusters | ||
| 116 | Compare means between iterations | ||
| 117 | Cummulate Weight & update mean details | ||
| 118 | Cummulate Weight & update mean details | ||
| 119 | Distance Calculator | ||
| 120 | Get Distribution of attributes across clusters | ||
| 121 | Initialize means | ||
| 122 | Final Mean Initialization | ||
| 123 | Loop on input | ||
| 124 | Final Loop on input | ||
| 125 | Merge samples | ||
| 126 | Sampling of Input data | ||
| 127 | Start | ||
| 128 | Update mean details | ||
| 129 | Final update mean details | ||
| 130 | Assign records to clusters | ||
| 131 | Compare means between iterations | ||
| 132 | Cummulate Weight & update mean details | ||
| 133 | Distance Calculator | ||
| 134 | Get Distribution of attributes across clusters | ||
| 135 | Initialize means | ||
| 136 | Final Mean Initialization | ||
| 137 | Loop on input | ||
| 138 | Final Loop on input | ||
| 139 | Merge samples | ||
| 140 | Sampling of Input data | ||
| 141 | Start | ||
| 142 | Update mean details | ||
| 143 | Final update mean details | ||
| 144 | Insert Language Specific Texts | ||
| 145 | Delete Model Results | ||
| 146 | Delete Model Results for prediction instance | ||
| 147 | Delete Model Results | ||
| 148 | Generates PMML for a model in stores in database | ||
| 149 | Generates PMML for a model in stores in database - No Extensions | ||
| 150 | Generates PMML for a model in stores in database - No Extensions | ||
| 151 | Get Attribute Header Details for a Model | ||
| 152 | Get Attribute Header Details for a Model | ||
| 153 | Get Cluster for UI | ||
| 154 | Insert Language Specific Texts | ||
| 155 | Get Key Table Information for given Datasource | ||
| 156 | Get Mean Header & Details for a Model | ||
| 157 | Insert Language Specific Texts | ||
| 158 | Predict Cluster Group for a given Datasource | ||
| 159 | Model Prediction Interface Enmass | ||
| 160 | Cluster Predictions for Field Value Pairs - Fieldlist | ||
| 161 | Update Key Table with Cluster ID Information | ||
| 162 | Update Model Predicition Details | ||
| 163 | Consistency check for Extraction in Clustering Engine | ||
| 164 | Get clustering mining results using cursors | ||
| 165 | Get GUID attributes information for clustering | ||
| 166 | For the generation of Extract Structure specififc to the Model | ||
| 167 | Add Messages to Application Log | ||
| 168 | Testing Log Functionality | ||
| 169 | Delete Logs Permanently | ||
| 170 | Enqueue mining model | ||
| 171 | Enqueue mining model | ||
| 172 | Next Number for Generated Extract Table | ||
| 173 | Get Value Distribution for Continuous Attribute | ||
| 174 | Get Value Distribution for Continuous Attribute | ||
| 175 | Value Distribution for Discrete Model Field | ||
| 176 | Add Messages to Application Log | ||
| 177 | Log Return Message | ||
| 178 | Data source fields to model fields mapping | ||
| 179 | Save Log | ||
| 180 | Create TADIR entry for generated result tables | ||
| 181 | Transport of service meta data | ||
| 182 | Transport of service types | ||
| 183 | Check before creating the target group | ||
| 184 | Creation of Target Group for Decision Tree | ||
| 185 | Get Business partners (related) for given leaf nodes | ||
| 186 | Get Business partners (related) for given leaf nodes | ||
| 187 | Check before creating the target group | ||
| 188 | Creation of Target Group for Decision Tree | ||
| 189 | Get Business partners (related) for given leaf nodes | ||
| 190 | Add Text Lines to a target group | ||
| 191 | Check if engines exist under a given instance | ||
| 192 | Check engine exists | ||
| 193 | Instance uniqueness check | ||
| 194 | Check Models exist corresponding to an engine | ||
| 195 | Check if given vendor already exists on the DB | ||
| 196 | DeRegister Engine | ||
| 197 | DeRegister Instance | ||
| 198 | Get List of Engines Supported | ||
| 199 | Get Details of Instance | ||
| 200 | Get Instance List | ||
| 201 | Modify engine details | ||
| 202 | Modify Instanace | ||
| 203 | Register Engine | ||
| 204 | Register Instance | ||
| 205 | Upgrade Instance | ||
| 206 | Random number generator | ||
| 207 | List of ANMO / ANSO using given BW object | ||
| 208 | Instance Registration | ||
| 209 | Customising - Initial Screen | ||
| 210 | Get a list of uploadable attributes | ||
| 211 | Details of Uploadable Attribute - to get Data | ||
| 212 | Fill the User parameter Structure | ||
| 213 | Prediction for Large Data Sets (usually in Batch Mode) | ||
| 214 | Prediction for Small Data sets (data as Attribute-Value Pairs) | ||
| 215 | Prediction for Small Data sets (data as Attribute-Value Pairs) | ||
| 216 | Predict Class | ||
| 217 | Prediction for Smaller Data sets (data in Internal Tables) | ||
| 218 | Update Key Table with Cluster ID Information | ||
| 219 | Gain Calculations for Discrete Attributes | ||
| 220 | Gain Calculations for Continuous Attribute | ||
| 221 | Get the Splitting Attribute by Entropy based Calculations | ||
| 222 | Gain Calculations for Discrete Attributes | ||
| 223 | Append Misclassified Records into Learning Table | ||
| 224 | Create a Key Table | ||
| 225 | Create Enumeration Tables | ||
| 226 | Create Sample Data for Training | ||
| 227 | Delete Enumeration Table | ||
| 228 | Delete Enumeration Table | ||
| 229 | Enumerate Discrete Attributes in the Input Data | ||
| 230 | Fill Userparameter Structures | ||
| 231 | Tree Forming Process | ||
| 232 | Tree Forming Process | ||
| 233 | Form Sample Data from the Enumerated Input Data | ||
| 234 | Generates PMML for a model in stores in database | ||
| 235 | Generates PMML for a model in stores in database | ||
| 236 | Generate Rules from the Tree | ||
| 237 | Generate Sub.pool for Enumload and run the same | ||
| 238 | Generate Sub.pool for Enumload and run the same | ||
| 239 | Get Frequency Distribution using SQL Aggregation Methods | ||
| 240 | Get Frequency Distribution using SQL Aggregation Methods | ||
| 241 | Get Frequency Distribution using SQL Aggregation Methods | ||
| 242 | Get Frequency Distribution using SQL Aggregation Methods | ||
| 243 | Function module to retrieve the PMML | ||
| 244 | Update Global Data Structures | ||
| 245 | Windowing Process for Learning the Data | ||
| 246 | Attribute Relevance Analysis | ||
| 247 | Store Results into DDIC Tables | ||
| 248 | Model Training Interface | ||
| 249 | Model Training Interface | ||
| 250 | Validation of User Parameters | ||
| 251 | Validation of Model Columns | ||
| 252 | Validation of User Parameters | ||
| 253 | Windowing Process for Learning the Data | ||
| 254 | Delete Model Results | ||
| 255 | Delete Model Results | ||
| 256 | Get Rules for a given Model | ||
| 257 | Get Rules for a given Model | ||
| 258 | Get Rules for a given Model | ||
| 259 | Get Rules for a given Model | ||
| 260 | Get Key Table Information for given Datasource | ||
| 261 | |||
| 262 | |||
| 263 | |||
| 264 | Get node counts if Hierarchy is created | ||
| 265 | Get Key Table Information for given Datasource | ||
| 266 | Get Rules for a given Model | ||
| 267 | Get Rules for a given Model | ||
| 268 | Get Rules for a given Model | ||
| 269 | Given a Node, get the rule in HTML format | ||
| 270 | Update Model Result | ||
| 271 | Update Model Predicition Details | ||
| 272 | Evaluate Tree | ||
| 273 | Predict Class | ||
| 274 | Reduced Error Pruning Methods for Pruning Trees - New | ||
| 275 | Prune Rules using Fischer Exact Test | ||
| 276 | Prune Tree - Pre-processing | ||
| 277 | Reduced Error Pruning Methods for Pruning Trees | ||
| 278 | Consistency check for Extraction in Clustering Engine | ||
| 279 | Get Decison Tree mining results using cursors | ||
| 280 | Get GUID attributes information for decision tree | ||
| 281 | For the generation of Extract Structure specififc to the Model | ||
| 282 | Basic check functions for extraction | ||
| 283 | Check for Datasource consistency in mining extractors | ||
| 284 | Code generation specific to each Model from a Template of the Service | ||
| 285 | For the creation of DataSource. | ||
| 286 | to delete ds | ||
| 287 | to delete ds | ||
| 288 | Delete Enumeration Table | ||
| 289 | Check for Datasource Availability | ||
| 290 | For the generation of DS for the Model Keys/Item InfoObject. | ||
| 291 | Generic function to extract data from mining models | ||
| 292 | Generic function to extract data from mining models | ||
| 293 | For the generation of Extract Structure specififc to the Model | ||
| 294 | Sets The Inactive Flag in RSDMTP_DSRC_BWD for The Mining Source and DS | ||
| 295 | Delete from the relation between model keys to datasource relation | ||
| 296 | Check for Association of a Mining Source with a DS. | ||
| 297 | Inserts relationship between MIning Source and Data Source | ||
| 298 | Flag all Mining Sources attached to given Datasource | ||
| 299 | Flag all Mining Sources attached to given Datasource | ||
| 300 | To lock the DataSource-Model relation table | ||
| 301 | To lock the DataSource-Model relation table | ||
| 302 | Updates the time Option in RSDMTX_DSRC_BWD Table. | ||
| 303 | Update GUID information via RSNDI_MD function(Wrapper) | ||
| 304 | Function to List Decision Tree Hierarchy for a given Datasource - Generic | ||
| 305 | Transfer DTree hierarchy to BW - Generic Function | ||
| 306 | Generates A Single Chart For The Values Passed | ||
| 307 | Generates Clustering Output Through IGS | ||
| 308 | |||
| 309 | |||
| 310 | |||
| 311 | |||
| 312 | |||
| 313 | |||
| 314 | |||
| 315 | |||
| 316 | |||
| 317 | |||
| 318 | |||
| 319 | |||
| 320 | Set Parameters for the Call Package | ||
| 321 | Select Engine | ||
| 322 | Set IS UI Controller | ||
| 323 | Set IS UI Controller | ||
| 324 | List of ANMO / ANSO using given BW object | ||
| 325 | Convert Source GUID to Ref Name | ||
| 326 | Convert Ref Name to Source GUID | ||
| 327 | Copy the model | ||
| 328 | Activate data source for the model | ||
| 329 | Activate data source for the model | ||
| 330 | Column mapping between model column and data source fields | ||
| 331 | Delete a data source | ||
| 332 | Delete a data source | ||
| 333 | Get data source details | ||
| 334 | Get the list of data sources | ||
| 335 | Modify data source | ||
| 336 | Reset the results of the data source | ||
| 337 | Reset the results of the data source | ||
| 338 | Get the runtime parameters for the data source | ||
| 339 | Delete Modified(Inactive) version of data source | ||
| 340 | Status of the Data source | ||
| 341 | Delete Modified(Inactive) version of data source | ||
| 342 | Evaluation Interface | ||
| 343 | Data Extraction Interface | ||
| 344 | Activate model | ||
| 345 | Activate model | ||
| 346 | Create a model | ||
| 347 | Delete Model Definition and Training | ||
| 348 | Delete Model Definition and Training | ||
| 349 | Description of the Model in different languages | ||
| 350 | Ananlytical Model Details | ||
| 351 | List of all the analytical models | ||
| 352 | Activate model | ||
| 353 | Modify Model - Add, Delete and Change | ||
| 354 | Reset all the results of the model | ||
| 355 | Delete Model Definition and Training | ||
| 356 | Status of the model | ||
| 357 | Activate model | ||
| 358 | Delete Model Definition and Training | ||
| 359 | Prediction Interface | ||
| 360 | List used for search | ||
| 361 | List of Content type supported by service | ||
| 362 | List of Distribution types supported by service | ||
| 363 | Description in different languages | ||
| 364 | Details of a service | ||
| 365 | List of services available | ||
| 366 | List of services based on the process it supports | ||
| 367 | List of the Service Parameters | ||
| 368 | List of different types of services available | ||
| 369 | Runs the service for training a model | ||
| 370 | |||
| 371 | |||
| 372 | Get Large Item Set (SAP Association Discovery) | ||
| 373 | Get SAP Association Discovery rules | ||
| 374 | Get PMML for Clustering Model | ||
| 375 | Get PMML for Clustering Model | ||
| 376 | Prediction Interface for Decision Tree | ||
| 377 | Get SAP Clustering rules | ||
| 378 | Get PMML for Clustering Model | ||
| 379 | Get PMML for Decision Tree Model | ||
| 380 | Prediction Interface for Decision Tree | ||
| 381 | Get SAP Decision Tree rules | ||
| 382 | Get Tree (SAP Decision Tree) | ||
| 383 | Get Prediction results | ||
| 384 | Prediction Interface for Decision Tree | ||
| 385 | Generic Start Function for CRM Target Group Creation | ||
| 386 | Delete entries in batch table | ||
| 387 | Check for runtime parameters for Data Source | ||
| 388 | Get columns list from data source | ||
| 389 | Map model columns to data store columns | ||
| 390 | BW data is got and stored locally | ||
| 391 | List of data source | ||
| 392 | Copy a mining service | ||
| 393 | Copy a mining service | ||
| 394 | List of all the various sources | ||
| 395 | Check column mapping | ||
| 396 | Checks for column parameters | ||
| 397 | Checks for column values | ||
| 398 | Checks for datasource | ||
| 399 | Checks for Datasource parameters | ||
| 400 | Checks for model | ||
| 401 | Checks for model columns | ||
| 402 | Check if the input value is compatible with the data element | ||
| 403 | Check before creating the target group | ||
| 404 | Check before creating the target group | ||
| 405 | Generates and returns a Guid | ||
| 406 | Generates and returns a Guid | ||
| 407 | Details about the batch job | ||
| 408 | CRM Target Group Creation - Get Batch Details | ||
| 409 | CRM Target Group Creation - Put Batch Details | ||
| 410 | Latest time and user details for each process | ||
| 411 | Check batch jobs and update model / data source status | ||
| 412 | Update Model Status | ||
| 413 | Call the service for evaluation | ||
| 414 | Extraction of Data into local store | ||
| 415 | Call the service for prediction | ||
| 416 | Run the service to train the model | ||
| 417 | Copy of FIMA_NUMERICAL_VALUE_ROUND for Lean Stack | ||
| 418 | Get available engines | ||
| 419 | Get List of Engines Supported | ||
| 420 | Ping the Instance | ||
| 421 | Check Field Parameters | ||
| 422 | Check Field Values | ||
| 423 | Get field list of model | ||
| 424 | Get Meta Data of field parameters defined for engine | ||
| 425 | Get possible field value types for specified field type | ||
| 426 | Get details of a model | ||
| 427 | Get list of models | ||
| 428 | Get metadata for model parameters for an engine | ||
| 429 | Support Check - General | ||
| 430 | Get possible field value processing types | ||
| 431 | Check model for consistency | ||
| 432 | Check if model on database | ||
| 433 | Check Model Columns | ||
| 434 | Get Model output as PMML | ||
| 435 | Check the proposed model name | ||
| 436 | Check Model Parameters | ||
| 437 | Support Check - General | ||
| 438 | Get supported content types for an engine | ||
| 439 | Run DB based Prediction | ||
| 440 | Run file based Prediction | ||
| 441 | Execute What-If Prediction for given field values | ||
| 442 | Perform check for prediction input metadata | ||
| 443 | Check if model is ready for prediction | ||
| 444 | Get data access mode - by File or by DB | ||
| 445 | F4 for Model Field Values | ||
| 446 | Get File Details for file based prediction | ||
| 447 | Get Prediction Parameters metadata | ||
| 448 | Get Prediction Output Fields | ||
| 449 | Get Target (Class) Values | ||
| 450 | Support Check - Related to Prediction | ||
| 451 | Reset model results | ||
| 452 | RFC Call - Training using DDIC tables - for engine with metadata in SAP | ||
| 453 | RFC Call - Training using DDIC tables - For Engines with own metadata | ||
| 454 | Call File Based Training | ||
| 455 | Check if model is ready for Training | ||
| 456 | Get data access mode - by File or by DB | ||
| 457 | Get File Details for file based Training | ||
| 458 | Reset model results | ||
| 459 | Support Check - Related to Training | ||
| 460 | return context menu options | ||
| 461 | handle f1 help request | ||
| 462 | launch workbench/model details | ||
| 463 | get custom toolbar options | ||
| 464 | handle the given function code | ||
| 465 | Support Checks - UI Related | ||
| 466 | launch workbench/model details | ||
| 467 | Einzelsatz-Vorhersage mit Intelligent Miner Scoring | ||
| 468 | |||
| 469 | |||
| 470 | Consistency check for Extraction in Scoring Engine | ||
| 471 | Get Scoring mining results using cursors | ||
| 472 | Get GUID attributes information for decision tree | ||
| 473 | For the generation of Extract Structure specififc to the Model | ||
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