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public static final class ModelMonitoringObjectiveSpec.DataDriftSpec.Builder extends GeneratedMessageV3.Builder<ModelMonitoringObjectiveSpec.DataDriftSpec.Builder> implements ModelMonitoringObjectiveSpec.DataDriftSpecOrBuilder
Data drift monitoring spec. Data drift measures the distribution distance between the current dataset and a baseline dataset. A typical use case is to detect data drift between the recent production serving dataset and the training dataset, or to compare the recent production dataset with a dataset from a previous period.
Protobuf type
google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelMonitoringObjectiveSpec.DataDriftSpec.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
Methods
addAllFeatures(Iterable<String> values)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder addAllFeatures(Iterable<String> values)
Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.
repeated string features = 1;
Parameter | |
---|---|
Name | Description |
values |
Iterable<String> The features to add. |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
This builder for chaining. |
addFeatures(String value)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder addFeatures(String value)
Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.
repeated string features = 1;
Parameter | |
---|---|
Name | Description |
value |
String The features to add. |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
This builder for chaining. |
addFeaturesBytes(ByteString value)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder addFeaturesBytes(ByteString value)
Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.
repeated string features = 1;
Parameter | |
---|---|
Name | Description |
value |
ByteString The bytes of the features to add. |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
This builder for chaining. |
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
build()
public ModelMonitoringObjectiveSpec.DataDriftSpec build()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec |
buildPartial()
public ModelMonitoringObjectiveSpec.DataDriftSpec buildPartial()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec |
clear()
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clear()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
clearCategoricalMetricType()
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearCategoricalMetricType()
Supported metrics type:
- l_infinity
- jensen_shannon_divergence
string categorical_metric_type = 2;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
This builder for chaining. |
clearDefaultCategoricalAlertCondition()
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearDefaultCategoricalAlertCondition()
Default alert condition for all the categorical features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
clearDefaultNumericAlertCondition()
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearDefaultNumericAlertCondition()
Default alert condition for all the numeric features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
clearFeatureAlertConditions()
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearFeatureAlertConditions()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
clearFeatures()
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearFeatures()
Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.
repeated string features = 1;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearField(Descriptors.FieldDescriptor field)
Parameter | |
---|---|
Name | Description |
field |
FieldDescriptor |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
clearNumericMetricType()
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearNumericMetricType()
Supported metrics type:
- jensen_shannon_divergence
string numeric_metric_type = 3;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter | |
---|---|
Name | Description |
oneof |
OneofDescriptor |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
clone()
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder clone()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
containsFeatureAlertConditions(String key)
public boolean containsFeatureAlertConditions(String key)
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;
Parameter | |
---|---|
Name | Description |
key |
String |
Returns | |
---|---|
Type | Description |
boolean |
getCategoricalMetricType()
public String getCategoricalMetricType()
Supported metrics type:
- l_infinity
- jensen_shannon_divergence
string categorical_metric_type = 2;
Returns | |
---|---|
Type | Description |
String |
The categoricalMetricType. |
getCategoricalMetricTypeBytes()
public ByteString getCategoricalMetricTypeBytes()
Supported metrics type:
- l_infinity
- jensen_shannon_divergence
string categorical_metric_type = 2;
Returns | |
---|---|
Type | Description |
ByteString |
The bytes for categoricalMetricType. |
getDefaultCategoricalAlertCondition()
public ModelMonitoringAlertCondition getDefaultCategoricalAlertCondition()
Default alert condition for all the categorical features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;
Returns | |
---|---|
Type | Description |
ModelMonitoringAlertCondition |
The defaultCategoricalAlertCondition. |
getDefaultCategoricalAlertConditionBuilder()
public ModelMonitoringAlertCondition.Builder getDefaultCategoricalAlertConditionBuilder()
Default alert condition for all the categorical features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;
Returns | |
---|---|
Type | Description |
ModelMonitoringAlertCondition.Builder |
getDefaultCategoricalAlertConditionOrBuilder()
public ModelMonitoringAlertConditionOrBuilder getDefaultCategoricalAlertConditionOrBuilder()
Default alert condition for all the categorical features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;
Returns | |
---|---|
Type | Description |
ModelMonitoringAlertConditionOrBuilder |
getDefaultInstanceForType()
public ModelMonitoringObjectiveSpec.DataDriftSpec getDefaultInstanceForType()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec |
getDefaultNumericAlertCondition()
public ModelMonitoringAlertCondition getDefaultNumericAlertCondition()
Default alert condition for all the numeric features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;
Returns | |
---|---|
Type | Description |
ModelMonitoringAlertCondition |
The defaultNumericAlertCondition. |
getDefaultNumericAlertConditionBuilder()
public ModelMonitoringAlertCondition.Builder getDefaultNumericAlertConditionBuilder()
Default alert condition for all the numeric features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;
Returns | |
---|---|
Type | Description |
ModelMonitoringAlertCondition.Builder |
getDefaultNumericAlertConditionOrBuilder()
public ModelMonitoringAlertConditionOrBuilder getDefaultNumericAlertConditionOrBuilder()
Default alert condition for all the numeric features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;
Returns | |
---|---|
Type | Description |
ModelMonitoringAlertConditionOrBuilder |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
---|---|
Type | Description |
Descriptor |
getFeatureAlertConditions() (deprecated)
public Map<String,ModelMonitoringAlertCondition> getFeatureAlertConditions()
Use #getFeatureAlertConditionsMap() instead.
Returns | |
---|---|
Type | Description |
Map<String,ModelMonitoringAlertCondition> |
getFeatureAlertConditionsCount()
public int getFeatureAlertConditionsCount()
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;
Returns | |
---|---|
Type | Description |
int |
getFeatureAlertConditionsMap()
public Map<String,ModelMonitoringAlertCondition> getFeatureAlertConditionsMap()
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;
Returns | |
---|---|
Type | Description |
Map<String,ModelMonitoringAlertCondition> |
getFeatureAlertConditionsOrDefault(String key, ModelMonitoringAlertCondition defaultValue)
public ModelMonitoringAlertCondition getFeatureAlertConditionsOrDefault(String key, ModelMonitoringAlertCondition defaultValue)
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;
Parameters | |
---|---|
Name | Description |
key |
String |
defaultValue |
ModelMonitoringAlertCondition |
Returns | |
---|---|
Type | Description |
ModelMonitoringAlertCondition |
getFeatureAlertConditionsOrThrow(String key)
public ModelMonitoringAlertCondition getFeatureAlertConditionsOrThrow(String key)
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;
Parameter | |
---|---|
Name | Description |
key |
String |
Returns | |
---|---|
Type | Description |
ModelMonitoringAlertCondition |
getFeatures(int index)
public String getFeatures(int index)
Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.
repeated string features = 1;
Parameter | |
---|---|
Name | Description |
index |
int The index of the element to return. |
Returns | |
---|---|
Type | Description |
String |
The features at the given index. |
getFeaturesBytes(int index)
public ByteString getFeaturesBytes(int index)
Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.
repeated string features = 1;
Parameter | |
---|---|
Name | Description |
index |
int The index of the value to return. |
Returns | |
---|---|
Type | Description |
ByteString |
The bytes of the features at the given index. |
getFeaturesCount()
public int getFeaturesCount()
Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.
repeated string features = 1;
Returns | |
---|---|
Type | Description |
int |
The count of features. |
getFeaturesList()
public ProtocolStringList getFeaturesList()
Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.
repeated string features = 1;
Returns | |
---|---|
Type | Description |
ProtocolStringList |
A list containing the features. |
getMutableFeatureAlertConditions() (deprecated)
public Map<String,ModelMonitoringAlertCondition> getMutableFeatureAlertConditions()
Use alternate mutation accessors instead.
Returns | |
---|---|
Type | Description |
Map<String,ModelMonitoringAlertCondition> |
getNumericMetricType()
public String getNumericMetricType()
Supported metrics type:
- jensen_shannon_divergence
string numeric_metric_type = 3;
Returns | |
---|---|
Type | Description |
String |
The numericMetricType. |
getNumericMetricTypeBytes()
public ByteString getNumericMetricTypeBytes()
Supported metrics type:
- jensen_shannon_divergence
string numeric_metric_type = 3;
Returns | |
---|---|
Type | Description |
ByteString |
The bytes for numericMetricType. |
hasDefaultCategoricalAlertCondition()
public boolean hasDefaultCategoricalAlertCondition()
Default alert condition for all the categorical features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;
Returns | |
---|---|
Type | Description |
boolean |
Whether the defaultCategoricalAlertCondition field is set. |
hasDefaultNumericAlertCondition()
public boolean hasDefaultNumericAlertCondition()
Default alert condition for all the numeric features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;
Returns | |
---|---|
Type | Description |
boolean |
Whether the defaultNumericAlertCondition field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
internalGetMapFieldReflection(int number)
protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
Parameter | |
---|---|
Name | Description |
number |
int |
Returns | |
---|---|
Type | Description |
com.google.protobuf.MapFieldReflectionAccessor |
internalGetMutableMapFieldReflection(int number)
protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
Parameter | |
---|---|
Name | Description |
number |
int |
Returns | |
---|---|
Type | Description |
com.google.protobuf.MapFieldReflectionAccessor |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
mergeDefaultCategoricalAlertCondition(ModelMonitoringAlertCondition value)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder mergeDefaultCategoricalAlertCondition(ModelMonitoringAlertCondition value)
Default alert condition for all the categorical features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;
Parameter | |
---|---|
Name | Description |
value |
ModelMonitoringAlertCondition |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
mergeDefaultNumericAlertCondition(ModelMonitoringAlertCondition value)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder mergeDefaultNumericAlertCondition(ModelMonitoringAlertCondition value)
Default alert condition for all the numeric features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;
Parameter | |
---|---|
Name | Description |
value |
ModelMonitoringAlertCondition |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
mergeFrom(ModelMonitoringObjectiveSpec.DataDriftSpec other)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder mergeFrom(ModelMonitoringObjectiveSpec.DataDriftSpec other)
Parameter | |
---|---|
Name | Description |
other |
ModelMonitoringObjectiveSpec.DataDriftSpec |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
Exceptions | |
---|---|
Type | Description |
IOException |
mergeFrom(Message other)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder mergeFrom(Message other)
Parameter | |
---|---|
Name | Description |
other |
Message |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringObjectiveSpec.DataDriftSpec.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
putAllFeatureAlertConditions(Map<String,ModelMonitoringAlertCondition> values)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder putAllFeatureAlertConditions(Map<String,ModelMonitoringAlertCondition> values)
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;
Parameter | |
---|---|
Name | Description |
values |
Map<String,ModelMonitoringAlertCondition> |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
putFeatureAlertConditions(String key, ModelMonitoringAlertCondition value)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder putFeatureAlertConditions(String key, ModelMonitoringAlertCondition value)
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;
Parameters | |
---|---|
Name | Description |
key |
String |
value |
ModelMonitoringAlertCondition |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
putFeatureAlertConditionsBuilderIfAbsent(String key)
public ModelMonitoringAlertCondition.Builder putFeatureAlertConditionsBuilderIfAbsent(String key)
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;
Parameter | |
---|---|
Name | Description |
key |
String |
Returns | |
---|---|
Type | Description |
ModelMonitoringAlertCondition.Builder |
removeFeatureAlertConditions(String key)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder removeFeatureAlertConditions(String key)
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;
Parameter | |
---|---|
Name | Description |
key |
String |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
setCategoricalMetricType(String value)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setCategoricalMetricType(String value)
Supported metrics type:
- l_infinity
- jensen_shannon_divergence
string categorical_metric_type = 2;
Parameter | |
---|---|
Name | Description |
value |
String The categoricalMetricType to set. |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
This builder for chaining. |
setCategoricalMetricTypeBytes(ByteString value)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setCategoricalMetricTypeBytes(ByteString value)
Supported metrics type:
- l_infinity
- jensen_shannon_divergence
string categorical_metric_type = 2;
Parameter | |
---|---|
Name | Description |
value |
ByteString The bytes for categoricalMetricType to set. |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
This builder for chaining. |
setDefaultCategoricalAlertCondition(ModelMonitoringAlertCondition value)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setDefaultCategoricalAlertCondition(ModelMonitoringAlertCondition value)
Default alert condition for all the categorical features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;
Parameter | |
---|---|
Name | Description |
value |
ModelMonitoringAlertCondition |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
setDefaultCategoricalAlertCondition(ModelMonitoringAlertCondition.Builder builderForValue)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setDefaultCategoricalAlertCondition(ModelMonitoringAlertCondition.Builder builderForValue)
Default alert condition for all the categorical features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;
Parameter | |
---|---|
Name | Description |
builderForValue |
ModelMonitoringAlertCondition.Builder |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
setDefaultNumericAlertCondition(ModelMonitoringAlertCondition value)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setDefaultNumericAlertCondition(ModelMonitoringAlertCondition value)
Default alert condition for all the numeric features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;
Parameter | |
---|---|
Name | Description |
value |
ModelMonitoringAlertCondition |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
setDefaultNumericAlertCondition(ModelMonitoringAlertCondition.Builder builderForValue)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setDefaultNumericAlertCondition(ModelMonitoringAlertCondition.Builder builderForValue)
Default alert condition for all the numeric features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;
Parameter | |
---|---|
Name | Description |
builderForValue |
ModelMonitoringAlertCondition.Builder |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
setFeatures(int index, String value)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setFeatures(int index, String value)
Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.
repeated string features = 1;
Parameters | |
---|---|
Name | Description |
index |
int The index to set the value at. |
value |
String The features to set. |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
setNumericMetricType(String value)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setNumericMetricType(String value)
Supported metrics type:
- jensen_shannon_divergence
string numeric_metric_type = 3;
Parameter | |
---|---|
Name | Description |
value |
String The numericMetricType to set. |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
This builder for chaining. |
setNumericMetricTypeBytes(ByteString value)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setNumericMetricTypeBytes(ByteString value)
Supported metrics type:
- jensen_shannon_divergence
string numeric_metric_type = 3;
Parameter | |
---|---|
Name | Description |
value |
ByteString The bytes for numericMetricType to set. |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
This builder for chaining. |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringObjectiveSpec.DataDriftSpec.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |