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getInternalVal <- function( connectionHandler, resultSchema, myTableAppend, modelDesignId, databaseTableAppend, devDatabase, tempEmulationSchema = NULL ){ sql <- "select per.performance_id, dm.cdm_source_abbreviation as validation_database from (select performance_id, validation_database_id from @result_schema.@my_table_appendperformances where model_design_id = @model_design_id and development_database_id = validation_database_id) per inner join @result_schema.@my_table_appenddatabase_details d on d.database_id = per.validation_database_id inner join @result_schema.@database_table_appenddatabase_meta_data dm on d.database_meta_data_id = dm.database_id where d.database_id = @dev_database ; " res <- connectionHandler$queryDb( sql = sql, result_schema = resultSchema, my_table_append = myTableAppend, database_table_append = databaseTableAppend, model_design_id = modelDesignId, dev_database = devDatabase ) if(is.null(res$performanceId)){ return(NULL) } # get the performances for the performanceId result <- list() tableNames <- c( 'attrition', 'prediction_distribution', 'covariate_summary', 'threshold_summary', 'calibration_summary', 'evaluation_statistics', 'demographic_summary' ) length(result) <- length(tableNames)+1 names(result) <- c('database',tableNames) result[['database']] <- res$validationDatabase for(tabName in tableNames){ sql <- "select * from @result_schema.@my_table_append@table_name where performance_id = @performance_id " result[[tabName]] <- connectionHandler$queryDb( sql = sql, result_schema = resultSchema, table_name = tabName, my_table_append = myTableAppend, performance_id = res$performanceId ) } return(result) } result <- getInternalVal( connectionHandler = params$connectionHandler, resultSchema = params$resultSchema, myTableAppend = params$myTableAppend, databaseTableAppend = params$databaseTableAppend, modelDesignId = params$modelDesignIds[i], devDatabase = devDatabase )
The internal validation is the performance of the models when validated using held-out data from the database used to develop the model.
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