create_config | R Documentation |
Defines a complete predictive modeling pipeline and saves it as a JSON file.
create_config(
data_path,
target = NULL,
binclass_posid = 1,
alg = "lightgbm",
train.params = NULL,
inner.resampling = setup.resample(resampler = "cv", n.resamples = 5),
outer.resampling = setup.resample(resampler = "cv", n.resamples = 10),
config.path = "rtemis-config.json",
model.outdir = NULL,
allow.overwrite = FALSE,
verbose = TRUE
)
data_path |
Character: Path to data file. Can be any file recognized by read, commonly CSV, Excel, or RDS. |
target |
Character: Name of the target variable in the data. If not specified, the last
column of |
binclass_posid |
Integer: Position of the positive class in a binary classification problem. |
alg |
Character: Algorithm to use. Any of |
train.params |
List: Parameters for the training algorithm. |
inner.resampling |
List: Resampling method for the inner loop, i.e. hyperparameter tuning, a.k.a. model selection. Set using setup.resample |
outer.resampling |
List: Resampling method for the outer loop, i.e. testing. Set using setup.resample |
config.path |
Character: Path to save configuration file. |
model.outdir |
Character: Directory to save trained model and associated files. If NULL,
the directory of |
allow.overwrite |
Logical: If TRUE, overwrite existing config file. |
verbose |
Logical: If TRUE, print messages |
config as list, invisibly.
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