- 3.52.0 (latest)
- 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 static final class TabularClassificationPredictionResult.Builder extends GeneratedMessageV3.Builder<TabularClassificationPredictionResult.Builder> implements TabularClassificationPredictionResultOrBuilder
Prediction output format for Tabular Classification.
Protobuf type
google.cloud.aiplatform.v1.schema.predict.prediction.TabularClassificationPredictionResult
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > TabularClassificationPredictionResult.BuilderMethods
addAllClasses(Iterable<String> values)
public TabularClassificationPredictionResult.Builder addAllClasses(Iterable<String> values)
The name of the classes being classified, contains all possible values of the target column.
repeated string classes = 1;
Name | Description |
values | Iterable<String> The classes to add. |
Type | Description |
TabularClassificationPredictionResult.Builder | This builder for chaining. |
addAllScores(Iterable<? extends Float> values)
public TabularClassificationPredictionResult.Builder addAllScores(Iterable<? extends Float> values)
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 |
values | Iterable<? extends java.lang.Float> The scores to add. |
Type | Description |
TabularClassificationPredictionResult.Builder | This builder for chaining. |
addClasses(String value)
public TabularClassificationPredictionResult.Builder addClasses(String value)
The name of the classes being classified, contains all possible values of the target column.
repeated string classes = 1;
Name | Description |
value | String The classes to add. |
Type | Description |
TabularClassificationPredictionResult.Builder | This builder for chaining. |
addClassesBytes(ByteString value)
public TabularClassificationPredictionResult.Builder addClassesBytes(ByteString value)
The name of the classes being classified, contains all possible values of the target column.
repeated string classes = 1;
Name | Description |
value | ByteString The bytes of the classes to add. |
Type | Description |
TabularClassificationPredictionResult.Builder | This builder for chaining. |
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public TabularClassificationPredictionResult.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
TabularClassificationPredictionResult.Builder |
addScores(float value)
public TabularClassificationPredictionResult.Builder addScores(float value)
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 |
value | float The scores to add. |
Type | Description |
TabularClassificationPredictionResult.Builder | This builder for chaining. |
build()
public TabularClassificationPredictionResult build()
Type | Description |
TabularClassificationPredictionResult |
buildPartial()
public TabularClassificationPredictionResult buildPartial()
Type | Description |
TabularClassificationPredictionResult |
clear()
public TabularClassificationPredictionResult.Builder clear()
Type | Description |
TabularClassificationPredictionResult.Builder |
clearClasses()
public TabularClassificationPredictionResult.Builder clearClasses()
The name of the classes being classified, contains all possible values of the target column.
repeated string classes = 1;
Type | Description |
TabularClassificationPredictionResult.Builder | This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public TabularClassificationPredictionResult.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
TabularClassificationPredictionResult.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public TabularClassificationPredictionResult.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
TabularClassificationPredictionResult.Builder |
clearScores()
public TabularClassificationPredictionResult.Builder clearScores()
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 |
TabularClassificationPredictionResult.Builder | This builder for chaining. |
clone()
public TabularClassificationPredictionResult.Builder clone()
Type | Description |
TabularClassificationPredictionResult.Builder |
getClasses(int index)
public 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 | int The index of the element to return. |
Type | Description |
String | The classes at the given index. |
getClassesBytes(int index)
public 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 | int The index of the value to return. |
Type | Description |
ByteString | The bytes of the classes at the given index. |
getClassesCount()
public 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 ProtocolStringList getClassesList()
The name of the classes being classified, contains all possible values of the target column.
repeated string classes = 1;
Type | Description |
ProtocolStringList | A list containing the classes. |
getDefaultInstanceForType()
public TabularClassificationPredictionResult getDefaultInstanceForType()
Type | Description |
TabularClassificationPredictionResult |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
getScores(int index)
public 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 | int The index of the element to return. |
Type | Description |
float | The scores at the given index. |
getScoresCount()
public 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 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. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
mergeFrom(TabularClassificationPredictionResult other)
public TabularClassificationPredictionResult.Builder mergeFrom(TabularClassificationPredictionResult other)
Name | Description |
other | TabularClassificationPredictionResult |
Type | Description |
TabularClassificationPredictionResult.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public TabularClassificationPredictionResult.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
TabularClassificationPredictionResult.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public TabularClassificationPredictionResult.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
TabularClassificationPredictionResult.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final TabularClassificationPredictionResult.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
TabularClassificationPredictionResult.Builder |
setClasses(int index, String value)
public TabularClassificationPredictionResult.Builder setClasses(int index, String value)
The name of the classes being classified, contains all possible values of the target column.
repeated string classes = 1;
Name | Description |
index | int The index to set the value at. |
value | String The classes to set. |
Type | Description |
TabularClassificationPredictionResult.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public TabularClassificationPredictionResult.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
TabularClassificationPredictionResult.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public TabularClassificationPredictionResult.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
TabularClassificationPredictionResult.Builder |
setScores(int index, float value)
public TabularClassificationPredictionResult.Builder setScores(int index, float value)
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 | int The index to set the value at. |
value | float The scores to set. |
Type | Description |
TabularClassificationPredictionResult.Builder | This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final TabularClassificationPredictionResult.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
TabularClassificationPredictionResult.Builder |