This function extracts data using a user specified connection and cdm_schema, applied the model and then calcualtes the performance

externalValidatePlp(plpResult, connectionDetails, validationSchemaTarget,
  validationSchemaOutcome, validationSchemaCdm, databaseNames,
  validationTableTarget = "cohort", validationTableOutcome = "cohort",
  validationIdTarget = NULL, validationIdOutcome = NULL,
  oracleTempSchema = NULL, verbosity = "INFO", keepPrediction = F,
  sampleSize = NULL)

Arguments

plpResult

The object returned by runPlp() containing the trained model

connectionDetails

The connection details for extracting the new data

validationSchemaTarget

A string or list of strings specifying the database containing the target cohorts

validationSchemaOutcome

A string or list of strings specifying the database containing the outcome cohorts

validationSchemaCdm

A string or list of strings specifying the database containing the cdm

databaseNames

A string of lift of strings specifying sharing friendly database names corresponding to validationSchemaCdm

validationTableTarget

A string or list of strings specifying the table containing the target cohorts

validationTableOutcome

A string or list of strings specifying the table containing the outcome cohorts

validationIdTarget

An iteger or list of integers specifying the cohort id for the target cohorts

validationIdOutcome

An iteger or list of integers specifying the cohort id for the outcome cohorts

oracleTempSchema

The temp oracle schema requires read/write

verbosity

Sets the level of the verbosity. If the log level is at or higher in priority than the logger threshold, a message will print. The levels are:

  • DEBUGHighest verbosity showing all debug statements

  • TRACEShowing information about start and end of steps

  • INFOShow informative information (Default)

  • WARNShow warning messages

  • ERRORShow error messages

  • FATALBe silent except for fatal errors

keepPrediction

Whether to keep the predicitons for the new data

sampleSize

If not NULL, the number of people to sample from the target cohort

Value

A list containing the performance for each validation_schema

Details

Users need to input a trained model (the output of runPlp()) and new database connections. The function will return a list of length equal to the number of cdm_schemas input with the performance on the new data