predict.DecisionTreeClassifier {hana.ml.r} | R Documentation |
Predict based on model for Decision Tree Classifier
Description
Predict based on model for Decision Tree Classifier
Usage
## S3 method for class 'DecisionTreeClassifier'
predict(model, data, key,
features = NULL, verbose = NULL, thread.ratio = NULL)
Arguments
model |
R6Class object DecisionTreeClassifier object for predict.
|
data |
DataFrame Independent variable values used for prediction.
|
key |
character Name of the ID column.
|
features |
list of character, optional
Names of the feature columns.
If not provided, it defaults to all non-ID columns.
|
verbose |
logical , optional
Defaults to FALSE. Valid only for Classification.
|
thread.ratio |
double, optional
The ratio of available threads used for training.
- 0: single thread;
- (0,1): percentage of available threads;
- others : heuristically determined.
Defaults to -1.
|
Value
Dataframe
Predicted values, structured as follows.
ID column, with same name and type as ‘data'’s ID column.
SCORE, type NVARCHAR(100), predicted classes.
CONFIDENCE, type DOUBLE. Representing the confidence of a class
[Package
hana.ml.r version 1.0.8
Index]