score.PolynomialRegression.Rd
This function predicts class labels of labeled dataset from a fitted "PolynomialRegression" object, and return the corresponding accuracy score.
# S3 method for PolynomialRegression
score(
model,
data,
key,
features = NULL,
label = NULL,
thread.ratio = NULL,
...
)
S3
methods
R6Class object
A "PolynomialRegression" 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
.
numeric, optional
Specified the number of threads used in model prediction.
The value range is from 0 to 1, where 0 indicates a single thread,
and 1 indicates all available threads. Values between 0 and 1 will use up to
that percentage of available threads.
Values outside the range from 0 to 1 are ignored, and the actual number of threads
used is then be heuristically determined.
Defaults to -1.
Reserved parameters.
numeric
The R2 score of model
applied to data
.