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public static final class ModelMonitoringObjectiveSpec.DataDriftSpec.Builder extends GeneratedMessageV3.Builder<ModelMonitoringObjectiveSpec.DataDriftSpec.Builder> implements ModelMonitoringObjectiveSpec.DataDriftSpecOrBuilderData 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 |
StringThe 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 |
ByteStringThe 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 |
intThe 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 |
intThe 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 |
StringThe 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 |
ByteStringThe 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 |
intThe index to set the value at. |
value |
StringThe 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 |
StringThe 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 |
ByteStringThe 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 |
|