public interface TabularClassificationPredictionResultOrBuilder
extends com.google.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
String |
getClasses(int index)
The name of the classes being classified, contains all possible values of
the target column.
|
com.google.protobuf.ByteString |
getClassesBytes(int index)
The name of the classes being classified, contains all possible values of
the target column.
|
int |
getClassesCount()
The name of the classes being classified, contains all possible values of
the target column.
|
List<String> |
getClassesList()
The name of the classes being classified, contains all possible values of
the target column.
|
float |
getScores(int index)
The model's confidence in each class being correct, higher
value means higher confidence.
|
int |
getScoresCount()
The model's confidence in each class being correct, higher
value means higher confidence.
|
List<Float> |
getScoresList()
The model's confidence in each class being correct, higher
value means higher confidence.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofList<String> getClassesList()
The name of the classes being classified, contains all possible values of the target column.
repeated string classes = 1;int getClassesCount()
The name of the classes being classified, contains all possible values of the target column.
repeated string classes = 1;String getClasses(int index)
The name of the classes being classified, contains all possible values of the target column.
repeated string classes = 1;index - The index of the element to return.com.google.protobuf.ByteString getClassesBytes(int index)
The name of the classes being classified, contains all possible values of the target column.
repeated string classes = 1;index - The index of the value to return.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;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;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;index - The index of the element to return.Copyright © 2023 Google LLC. All rights reserved.