| 341 | |
| 342 | |
| 343 | void CrossValidate( |
| 344 | NJson::TJsonValue plainJsonParams, |
| 345 | NCB::TQuantizedFeaturesInfoPtr quantizedFeaturesInfo, |
| 346 | const TMaybe<TCustomObjectiveDescriptor>& objectiveDescriptor, |
| 347 | const TMaybe<TCustomMetricDescriptor>& evalMetricDescriptor, |
| 348 | TLabelConverter& labelConverter, |
| 349 | NCB::TDataProviderPtr data, |
| 350 | const TCrossValidationParams& cvParams, |
| 351 | NPar::ILocalExecutor* localExecutor, |
| 352 | TVector<TCVResult>* results, |
| 353 | bool isAlreadyShuffled) { |
| 354 | |
| 355 | cvParams.Check(); |
| 356 | |
| 357 | NJson::TJsonValue jsonParams; |
| 358 | NJson::TJsonValue outputJsonParams; |
| 359 | ConvertIgnoredFeaturesFromStringToIndices(data.Get()->MetaInfo, &plainJsonParams); |
| 360 | NCatboostOptions::PlainJsonToOptions(plainJsonParams, &jsonParams, &outputJsonParams); |
| 361 | ConvertParamsToCanonicalFormat(data.Get()->MetaInfo, &jsonParams); |
| 362 | NCatboostOptions::TCatBoostOptions catBoostOptions(NCatboostOptions::LoadOptions(jsonParams)); |
| 363 | NCatboostOptions::TOutputFilesOptions outputFileOptions; |
| 364 | outputFileOptions.Load(outputJsonParams); |
| 365 | |
| 366 | if (catBoostOptions.DataProcessingOptions->ClassLabels->empty()) { |
| 367 | catBoostOptions.DataProcessingOptions->ClassLabels = data->MetaInfo.ClassLabels; |
| 368 | } |
| 369 | ui32 approxDimension = GetApproxDimension(catBoostOptions, |
| 370 | labelConverter, |
| 371 | data->RawTargetData.GetTargetDimension()); |
| 372 | |
| 373 | if (IsYetiRankLossFunction(catBoostOptions.LossFunctionDescription.Get().LossFunction)) { |
| 374 | // Can't use standard UpdateYetiRankEvalMetric because for raw data TargetStats might not be available |
| 375 | UpdateYetiRankEvalMetric(data, localExecutor, &catBoostOptions); |
| 376 | } |
| 377 | |
| 378 | UpdateSampleRateOption(data->ObjectsData->GetObjectCount(), &catBoostOptions); |
| 379 | |
| 380 | InitializeEvalMetricIfNotSet(catBoostOptions.MetricOptions->ObjectiveMetric, |
| 381 | &catBoostOptions.MetricOptions->EvalMetric); |
| 382 | |
| 383 | UpdateMetricPeriodOption(catBoostOptions, &outputFileOptions); |
| 384 | |
| 385 | TVector<THolder<IMetric>> metrics = CreateMetrics( |
| 386 | catBoostOptions.MetricOptions, |
| 387 | evalMetricDescriptor, |
| 388 | approxDimension, |
| 389 | data->MetaInfo.HasWeights |
| 390 | ); |
| 391 | |
| 392 | CheckMetrics(metrics, catBoostOptions.LossFunctionDescription.Get().GetLossFunction()); |
| 393 | CheckCrossValidationOptions(data, metrics, catBoostOptions, outputFileOptions, cvParams); |
| 394 | |
| 395 | const ui64 cpuUsedRamLimit = |
| 396 | ParseMemorySizeDescription(catBoostOptions.SystemOptions->CpuUsedRamLimit.Get()); |
| 397 | |
| 398 | TRestorableFastRng64 rand(cvParams.PartitionRandSeed); |
| 399 | if (cvParams.Shuffle && !isAlreadyShuffled) { |
| 400 | auto objectsGroupingSubset = NCB::Shuffle(data->ObjectsGrouping, 1, &rand); |
no test coverage detected