Return the value of the label assigned to the input data.
Method call format
Type of return value
A one-dimensional array. The type of data in the array depends on the machine learning task being solved:
- Regression and ranking — Numeric values.
Binary classification — Numeric values.
The interpretation of numeric values depends on the selected loss function:
- Logloss — The value is considered a positive class if it is strictly grater than the value of the border parameter of the loss function. Otherwise, it is considered a negative class.
- CrossEntropy — The value is interpreted as the probability that the dataset object belongs to the positive class. Possible values are in the range
- Multiclassification — Integers or strings that represents the labels of the classes.