Test

Tests the trained model on the provided data

Usage

test(models, tester, forecaster, scorer, indices, ...)

# S4 method for TrainedList,Tester,ANY,ANY,ANY
test(models, tester, forecaster, scorer, indices, ...)

# S4 method for Trained,Tester,missing,missing,missing
test(models, tester, logger, ...)

# S4 method for Trained,missing,Forecaster,Scorer,missing
test(
  models,
  forecaster,
  scorer,
  newx,
  newoffset,
  newy,
  weights = NULL,
  score.type = c("mean_score", "summary_score", "score", "score_and_summary"),
  min.obs = 3,
  logger,
  ...
)

# S4 method for Trained,missing,Forecaster,ANY,numeric
test(
  models,
  forecaster,
  scorer,
  newx,
  newoffset,
  newy,
  weights = NULL,
  indices,
  ...
)

# S4 method for Trained,missing,Forecaster,ScorerList,missing
test(
  models,
  forecaster,
  scorer,
  newx,
  newoffset,
  newy,
  weights = NULL,
  score.type = c("mean_score", "summary_score", "score", "score_and_summary"),
  min.obs = 3,
  logger = Logger(verbose = FALSE),
  ...
)

# S4 method for TrainedList,missing,Forecaster,ScorerList,missing
test(models, forecaster, scorer, logger, ...)

# S4 method for TrainedList,missing,Forecaster,Scorer,missing
test(models, forecaster, scorer, logger, ...)

# S4 method for TrainedList,Tester,missing,missing,list
test(models, tester, forecaster, scorer, indices, ...)

# S4 method for TrainedList,missing,Forecaster,Scorer,list
test(
  models,
  forecaster,
  scorer,
  indices,
  screened = NULL,
  newx,
  newoffset = NULL,
  newy,
  weights = NULL,
  score.type = c("mean_score", "summary_score", "score", "score_and_summary"),
  min.obs = 3,
  looper = Looper(),
  logger,
  check.input = FALSE,
  ...
)

# S4 method for TrainedList,missing,Forecaster,ScorerList,list
test(
  models,
  forecaster,
  scorer,
  indices,
  screened = NULL,
  newx,
  newoffset = NULL,
  newy,
  weights = NULL,
  score.type = c("mean_score", "summary_score", "score", "score_and_summary"),
  min.obs = 3,
  looper,
  logger,
  ...
)

# S4 method for ANY,Tester,missing,missing,ANY
test(models, tester, forecaster, scorer, indices, ...)

# S4 method for TunedList,missing,Forecaster,Scorer,list
test(
  models,
  forecaster,
  scorer,
  indices,
  screened = NULL,
  newx,
  newoffset = NULL,
  newy,
  weights = NULL,
  score.type = c("mean_score", "summary_score", "score", "score_and_summary"),
  min.obs = 3,
  looper = Looper(),
  logger,
  ...
)

# S4 method for TunedList,missing,Forecaster,ScorerList,list
test(
  models,
  forecaster,
  scorer,
  indices,
  screened = NULL,
  newx,
  newoffset = NULL,
  newy,
  weights = NULL,
  score.type = c("mean_score", "summary_score", "score", "score_and_summary"),
  min.obs = 3,
  looper = Looper(),
  logger,
  ...
)

# S4 method for list,missing,Forecaster,Scorer,list
test(
  models,
  forecaster,
  scorer,
  indices,
  screened = NULL,
  newx,
  newoffset = NULL,
  newy,
  weights = NULL,
  score.type = c("mean_score", "summary_score", "score", "score_and_summary"),
  min.obs = 3,
  looper = Looper(),
  logger,
  ...
)

Arguments

models

a list of TrainedList objects

tester

a Tester object

indices

list of indices used to subset x, y, weights, offset when training the model

...

further arguments to scorer function

logger

a Logger object

newx

the predictors matrix

newoffset

offset

newy

the response

weights

observations weights (i.e. response prior)

score.type

the score type to return, one of

score

the accuracy measure

mean_score

estimate of the mean error obtained from the samples

summary_score

estimate of the mean error and its standard error

screened

list of screened features

looper

a Looper object

Value

list of 2 elements containing a score estimate and its standard error