predMlCensus: Predict machine learning models on Census data

In SPOTMisc: Misc Extensions for the 'SPOT' Package

Predict machine learning models on Census data

Description

Predict machine learning models on Census data

Usage

predMlCensus(
  x = NULL,
  model = NULL,
  target = "age",
  task.type = "classif",
  nobs = 10000,
  nfactors = "high",
  nnumericals = "high",
  cardinality = "high",
  cachedir = "oml.cache",
  k = 1,
  prop = 2/3,
  verbosity = 0
)

Arguments

x	matrix hyperparameter, e.g., result from spot Load result data for ml model to get the hyperparamater vector x, e.g., load("data/resdl11.RData") and x <- result$xbest or use default.
model	character ml model, e.g., "kknn" run: result$xbest. If NULL, default parameters will be used. Default: NULL.
target	target
task.type	class/reg
nobs	number of obsvervations, max: 229,285
nfactors	(character) number of factor variables
nnumericals	(character) number of numerical variables
cardinality	(character) cardinality
cachedir	cachedir
k	number of repeats
prop	split proportion. Default: c(3/5,1).
verbosity	verbsity. Default: 0

Value

list of matrices with predictions and true values

SPOTMisc documentation built on Sept. 5, 2022, 5:06 p.m.