Uses of Class
com.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema.FieldSchema.Builder
Packages that use ModelMonitoringSchema.FieldSchema.Builder
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Uses of ModelMonitoringSchema.FieldSchema.Builder in com.google.cloud.aiplatform.v1beta1
Methods in com.google.cloud.aiplatform.v1beta1 that return ModelMonitoringSchema.FieldSchema.BuilderModifier and TypeMethodDescriptionModelMonitoringSchema.Builder.addFeatureFieldsBuilder()Feature names of the model.ModelMonitoringSchema.Builder.addFeatureFieldsBuilder(int index) Feature names of the model.ModelMonitoringSchema.Builder.addGroundTruthFieldsBuilder()Target /ground truth names of the model.ModelMonitoringSchema.Builder.addGroundTruthFieldsBuilder(int index) Target /ground truth names of the model.ModelMonitoringSchema.Builder.addPredictionFieldsBuilder()Prediction output names of the model.ModelMonitoringSchema.Builder.addPredictionFieldsBuilder(int index) Prediction output names of the model.ModelMonitoringSchema.FieldSchema.Builder.clear()ModelMonitoringSchema.FieldSchema.Builder.clearDataType()Supported data types are: `float` `integer` `boolean` `string` `categorical`ModelMonitoringSchema.FieldSchema.Builder.clearName()Field name.ModelMonitoringSchema.FieldSchema.Builder.clearRepeated()Describes if the schema field is an array of given data type.ModelMonitoringSchema.Builder.getFeatureFieldsBuilder(int index) Feature names of the model.ModelMonitoringSchema.Builder.getGroundTruthFieldsBuilder(int index) Target /ground truth names of the model.ModelMonitoringSchema.Builder.getPredictionFieldsBuilder(int index) Prediction output names of the model.ModelMonitoringSchema.FieldSchema.Builder.mergeFrom(ModelMonitoringSchema.FieldSchema other) ModelMonitoringSchema.FieldSchema.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelMonitoringSchema.FieldSchema.Builder.mergeFrom(com.google.protobuf.Message other) ModelMonitoringSchema.FieldSchema.newBuilder()ModelMonitoringSchema.FieldSchema.newBuilder(ModelMonitoringSchema.FieldSchema prototype) ModelMonitoringSchema.FieldSchema.newBuilderForType()ModelMonitoringSchema.FieldSchema.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) ModelMonitoringSchema.FieldSchema.Builder.setDataType(String value) Supported data types are: `float` `integer` `boolean` `string` `categorical`ModelMonitoringSchema.FieldSchema.Builder.setDataTypeBytes(com.google.protobuf.ByteString value) Supported data types are: `float` `integer` `boolean` `string` `categorical`Field name.ModelMonitoringSchema.FieldSchema.Builder.setNameBytes(com.google.protobuf.ByteString value) Field name.ModelMonitoringSchema.FieldSchema.Builder.setRepeated(boolean value) Describes if the schema field is an array of given data type.ModelMonitoringSchema.FieldSchema.toBuilder()Methods in com.google.cloud.aiplatform.v1beta1 that return types with arguments of type ModelMonitoringSchema.FieldSchema.BuilderModifier and TypeMethodDescriptionModelMonitoringSchema.Builder.getFeatureFieldsBuilderList()Feature names of the model.ModelMonitoringSchema.Builder.getGroundTruthFieldsBuilderList()Target /ground truth names of the model.ModelMonitoringSchema.Builder.getPredictionFieldsBuilderList()Prediction output names of the model.Methods in com.google.cloud.aiplatform.v1beta1 with parameters of type ModelMonitoringSchema.FieldSchema.BuilderModifier and TypeMethodDescriptionModelMonitoringSchema.Builder.addFeatureFields(int index, ModelMonitoringSchema.FieldSchema.Builder builderForValue) Feature names of the model.ModelMonitoringSchema.Builder.addFeatureFields(ModelMonitoringSchema.FieldSchema.Builder builderForValue) Feature names of the model.ModelMonitoringSchema.Builder.addGroundTruthFields(int index, ModelMonitoringSchema.FieldSchema.Builder builderForValue) Target /ground truth names of the model.ModelMonitoringSchema.Builder.addGroundTruthFields(ModelMonitoringSchema.FieldSchema.Builder builderForValue) Target /ground truth names of the model.ModelMonitoringSchema.Builder.addPredictionFields(int index, ModelMonitoringSchema.FieldSchema.Builder builderForValue) Prediction output names of the model.ModelMonitoringSchema.Builder.addPredictionFields(ModelMonitoringSchema.FieldSchema.Builder builderForValue) Prediction output names of the model.ModelMonitoringSchema.Builder.setFeatureFields(int index, ModelMonitoringSchema.FieldSchema.Builder builderForValue) Feature names of the model.ModelMonitoringSchema.Builder.setGroundTruthFields(int index, ModelMonitoringSchema.FieldSchema.Builder builderForValue) Target /ground truth names of the model.ModelMonitoringSchema.Builder.setPredictionFields(int index, ModelMonitoringSchema.FieldSchema.Builder builderForValue) Prediction output names of the model.