score.GLM.Rd
This function predicts class labels of labeled dataset from a fitted "GLM" object, and return the corresponding R2 score.
# S3 method for GLM
score(
model,
data,
key,
features = NULL,
label = NULL,
handle.missing = NULL,
...
)
S3
methods
R6Class object
A "GLM" object for scoring.
character
Specifies the ID column in data
.
character or list of characters, optional
Specifies the feature columns in data
.
The specified features must be the same as those in the model training phase.
Defaults to all non-key, non-label columns in data
if not provided.
character, optional
Specifies the label column in data
.
If not provided, defaults to the last non-key column in data
.
c("remove", "fill_zero"), optional
Specifies how to handle data rows with missing values in feature columns.
"remove" Remove rows with missing values.
"fill_zero" Replace missing values with 0.
Defaults to "remove".
Reserved parameters.
numeric
The R2 score of model
applied to data
.