public static interface ModelMonitoringObjectiveSpec.DataDriftSpecOrBuilder
extends com.google.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
boolean |
containsFeatureAlertConditions(String key)
Per feature alert condition will override default alert condition.
|
String |
getCategoricalMetricType()
Supported metrics type:
* l_infinity
* jensen_shannon_divergence
string categorical_metric_type = 2; |
com.google.protobuf.ByteString |
getCategoricalMetricTypeBytes()
Supported metrics type:
* l_infinity
* jensen_shannon_divergence
string categorical_metric_type = 2; |
ModelMonitoringAlertCondition |
getDefaultCategoricalAlertCondition()
Default alert condition for all the categorical features.
|
ModelMonitoringAlertConditionOrBuilder |
getDefaultCategoricalAlertConditionOrBuilder()
Default alert condition for all the categorical features.
|
ModelMonitoringAlertCondition |
getDefaultNumericAlertCondition()
Default alert condition for all the numeric features.
|
ModelMonitoringAlertConditionOrBuilder |
getDefaultNumericAlertConditionOrBuilder()
Default alert condition for all the numeric features.
|
Map<String,ModelMonitoringAlertCondition> |
getFeatureAlertConditions()
Deprecated.
|
int |
getFeatureAlertConditionsCount()
Per feature alert condition will override default alert condition.
|
Map<String,ModelMonitoringAlertCondition> |
getFeatureAlertConditionsMap()
Per feature alert condition will override default alert condition.
|
ModelMonitoringAlertCondition |
getFeatureAlertConditionsOrDefault(String key,
ModelMonitoringAlertCondition defaultValue)
Per feature alert condition will override default alert condition.
|
ModelMonitoringAlertCondition |
getFeatureAlertConditionsOrThrow(String key)
Per feature alert condition will override default alert condition.
|
String |
getFeatures(int index)
Feature names / Prediction output names interested in monitoring.
|
com.google.protobuf.ByteString |
getFeaturesBytes(int index)
Feature names / Prediction output names interested in monitoring.
|
int |
getFeaturesCount()
Feature names / Prediction output names interested in monitoring.
|
List<String> |
getFeaturesList()
Feature names / Prediction output names interested in monitoring.
|
String |
getNumericMetricType()
Supported metrics type:
* jensen_shannon_divergence
string numeric_metric_type = 3; |
com.google.protobuf.ByteString |
getNumericMetricTypeBytes()
Supported metrics type:
* jensen_shannon_divergence
string numeric_metric_type = 3; |
boolean |
hasDefaultCategoricalAlertCondition()
Default alert condition for all the categorical features.
|
boolean |
hasDefaultNumericAlertCondition()
Default alert condition for all the numeric features.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofList<String> 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;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;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;index - The index of the element to return.com.google.protobuf.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;index - The index of the value to return.String getCategoricalMetricType()
Supported metrics type: * l_infinity * jensen_shannon_divergence
string categorical_metric_type = 2;com.google.protobuf.ByteString getCategoricalMetricTypeBytes()
Supported metrics type: * l_infinity * jensen_shannon_divergence
string categorical_metric_type = 2;String getNumericMetricType()
Supported metrics type: * jensen_shannon_divergence
string numeric_metric_type = 3;com.google.protobuf.ByteString getNumericMetricTypeBytes()
Supported metrics type: * jensen_shannon_divergence
string numeric_metric_type = 3;boolean hasDefaultCategoricalAlertCondition()
Default alert condition for all the categorical features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;
ModelMonitoringAlertCondition getDefaultCategoricalAlertCondition()
Default alert condition for all the categorical features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;
ModelMonitoringAlertConditionOrBuilder getDefaultCategoricalAlertConditionOrBuilder()
Default alert condition for all the categorical features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;
boolean hasDefaultNumericAlertCondition()
Default alert condition for all the numeric features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;
ModelMonitoringAlertCondition getDefaultNumericAlertCondition()
Default alert condition for all the numeric features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;
ModelMonitoringAlertConditionOrBuilder getDefaultNumericAlertConditionOrBuilder()
Default alert condition for all the numeric features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;
int getFeatureAlertConditionsCount()
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;
boolean containsFeatureAlertConditions(String key)
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;
@Deprecated Map<String,ModelMonitoringAlertCondition> getFeatureAlertConditions()
getFeatureAlertConditionsMap() instead.Map<String,ModelMonitoringAlertCondition> getFeatureAlertConditionsMap()
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;
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;
ModelMonitoringAlertCondition getFeatureAlertConditionsOrThrow(String key)
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;
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