Uses of Class
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder
Packages that use ModelMonitoringObjectiveSpec.DataDriftSpec.Builder
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Uses of ModelMonitoringObjectiveSpec.DataDriftSpec.Builder in com.google.cloud.aiplatform.v1beta1
Methods in com.google.cloud.aiplatform.v1beta1 that return ModelMonitoringObjectiveSpec.DataDriftSpec.BuilderModifier and TypeMethodDescriptionModelMonitoringObjectiveSpec.DataDriftSpec.Builder.addAllFeatures(Iterable<String> values) Feature names / Prediction output names interested in monitoring.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.addFeatures(String value) Feature names / Prediction output names interested in monitoring.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.addFeaturesBytes(com.google.protobuf.ByteString value) Feature names / Prediction output names interested in monitoring.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.clear()ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.clearCategoricalMetricType()Supported metrics type: * l_infinity * jensen_shannon_divergenceModelMonitoringObjectiveSpec.DataDriftSpec.Builder.clearDefaultCategoricalAlertCondition()Default alert condition for all the categorical features.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.clearDefaultNumericAlertCondition()Default alert condition for all the numeric features.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.clearFeatureAlertConditions()ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.clearFeatures()Feature names / Prediction output names interested in monitoring.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.clearNumericMetricType()Supported metrics type: * jensen_shannon_divergenceModelMonitoringObjectiveSpec.TabularObjective.Builder.getFeatureDriftSpecBuilder()Input feature distribution drift monitoring spec.ModelMonitoringObjectiveSpec.TabularObjective.Builder.getPredictionOutputDriftSpecBuilder()Prediction output distribution drift monitoring spec.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.mergeDefaultCategoricalAlertCondition(ModelMonitoringAlertCondition value) Default alert condition for all the categorical features.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.mergeDefaultNumericAlertCondition(ModelMonitoringAlertCondition value) Default alert condition for all the numeric features.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.mergeFrom(ModelMonitoringObjectiveSpec.DataDriftSpec other) ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.mergeFrom(com.google.protobuf.Message other) ModelMonitoringObjectiveSpec.DataDriftSpec.newBuilder()ModelMonitoringObjectiveSpec.DataDriftSpec.newBuilder(ModelMonitoringObjectiveSpec.DataDriftSpec prototype) ModelMonitoringObjectiveSpec.DataDriftSpec.newBuilderForType()ModelMonitoringObjectiveSpec.DataDriftSpec.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.putAllFeatureAlertConditions(Map<String, ModelMonitoringAlertCondition> values) Per feature alert condition will override default alert condition.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.putFeatureAlertConditions(String key, ModelMonitoringAlertCondition value) Per feature alert condition will override default alert condition.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.removeFeatureAlertConditions(String key) Per feature alert condition will override default alert condition.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.setCategoricalMetricType(String value) Supported metrics type: * l_infinity * jensen_shannon_divergenceModelMonitoringObjectiveSpec.DataDriftSpec.Builder.setCategoricalMetricTypeBytes(com.google.protobuf.ByteString value) Supported metrics type: * l_infinity * jensen_shannon_divergenceModelMonitoringObjectiveSpec.DataDriftSpec.Builder.setDefaultCategoricalAlertCondition(ModelMonitoringAlertCondition value) Default alert condition for all the categorical features.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.setDefaultCategoricalAlertCondition(ModelMonitoringAlertCondition.Builder builderForValue) Default alert condition for all the categorical features.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.setDefaultNumericAlertCondition(ModelMonitoringAlertCondition value) Default alert condition for all the numeric features.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.setDefaultNumericAlertCondition(ModelMonitoringAlertCondition.Builder builderForValue) Default alert condition for all the numeric features.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.setFeatures(int index, String value) Feature names / Prediction output names interested in monitoring.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder.setNumericMetricType(String value) Supported metrics type: * jensen_shannon_divergenceModelMonitoringObjectiveSpec.DataDriftSpec.Builder.setNumericMetricTypeBytes(com.google.protobuf.ByteString value) Supported metrics type: * jensen_shannon_divergenceModelMonitoringObjectiveSpec.DataDriftSpec.toBuilder()Methods in com.google.cloud.aiplatform.v1beta1 with parameters of type ModelMonitoringObjectiveSpec.DataDriftSpec.BuilderModifier and TypeMethodDescriptionModelMonitoringObjectiveSpec.TabularObjective.Builder.setFeatureDriftSpec(ModelMonitoringObjectiveSpec.DataDriftSpec.Builder builderForValue) Input feature distribution drift monitoring spec.ModelMonitoringObjectiveSpec.TabularObjective.Builder.setPredictionOutputDriftSpec(ModelMonitoringObjectiveSpec.DataDriftSpec.Builder builderForValue) Prediction output distribution drift monitoring spec.