- 3.77.0 (latest)
- 3.76.0
- 3.75.0
- 3.74.0
- 3.73.0
- 3.71.0
- 3.69.0
- 3.68.0
- 3.65.0
- 3.64.0
- 3.63.0
- 3.61.0
- 3.60.0
- 3.59.0
- 3.58.0
- 3.57.0
- 3.56.0
- 3.55.0
- 3.54.0
- 3.53.0
- 3.52.0
- 3.50.0
- 3.49.0
- 3.48.0
- 3.47.0
- 3.46.0
- 3.45.0
- 3.44.0
- 3.43.0
- 3.42.0
- 3.41.0
- 3.40.0
- 3.38.0
- 3.37.0
- 3.36.0
- 3.35.0
- 3.34.0
- 3.33.0
- 3.32.0
- 3.31.0
- 3.30.0
- 3.29.0
- 3.28.0
- 3.25.0
- 3.24.0
- 3.23.0
- 3.22.0
- 3.21.0
- 3.20.0
- 3.19.0
- 3.18.0
- 3.17.0
- 3.16.0
- 3.15.0
- 3.14.0
- 3.13.0
- 3.12.0
- 3.11.0
- 3.10.0
- 3.9.0
- 3.8.0
- 3.7.0
- 3.6.0
- 3.5.0
- 3.4.2
- 3.3.0
- 3.2.0
- 3.0.0
- 2.9.8
- 2.8.9
- 2.7.4
- 2.5.3
- 2.4.0
public interface TabularClassificationPredictionResultOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getClasses(int index)
public abstract String getClasses(int index)The name of the classes being classified, contains all possible values of the target column.
repeated string classes = 1;
| Name | Description |
| index | intThe index of the element to return. |
| Type | Description |
| String | The classes at the given index. |
getClassesBytes(int index)
public abstract ByteString getClassesBytes(int index)The name of the classes being classified, contains all possible values of the target column.
repeated string classes = 1;
| Name | Description |
| index | intThe index of the value to return. |
| Type | Description |
| ByteString | The bytes of the classes at the given index. |
getClassesCount()
public abstract int getClassesCount()The name of the classes being classified, contains all possible values of the target column.
repeated string classes = 1;
| Type | Description |
| int | The count of classes. |
getClassesList()
public abstract List<String> getClassesList()The name of the classes being classified, contains all possible values of the target column.
repeated string classes = 1;
| Type | Description |
| List<String> | A list containing the classes. |
getScores(int index)
public abstract float getScores(int index)The model's confidence in each class being correct, higher value means higher confidence. The N-th score corresponds to the N-th class in classes.
repeated float scores = 2;
| Name | Description |
| index | intThe index of the element to return. |
| Type | Description |
| float | The scores at the given index. |
getScoresCount()
public abstract int getScoresCount()The model's confidence in each class being correct, higher value means higher confidence. The N-th score corresponds to the N-th class in classes.
repeated float scores = 2;
| Type | Description |
| int | The count of scores. |
getScoresList()
public abstract List<Float> getScoresList()The model's confidence in each class being correct, higher value means higher confidence. The N-th score corresponds to the N-th class in classes.
repeated float scores = 2;
| Type | Description |
| List<Float> | A list containing the scores. |