Uses of Class
com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset.Builder
Packages that use ModelMonitoringObjectiveConfig.TrainingDataset.Builder
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Uses of ModelMonitoringObjectiveConfig.TrainingDataset.Builder in com.google.cloud.aiplatform.v1
Methods in com.google.cloud.aiplatform.v1 that return ModelMonitoringObjectiveConfig.TrainingDataset.BuilderModifier and TypeMethodDescriptionModelMonitoringObjectiveConfig.TrainingDataset.Builder.clear()ModelMonitoringObjectiveConfig.TrainingDataset.Builder.clearBigquerySource()The BigQuery table of the unmanaged Dataset used to train this Model.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.clearDataFormat()Data format of the dataset, only applicable if the input is from Google Cloud Storage.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.clearDataset()The resource name of the Dataset used to train this Model.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.clearDataSource()ModelMonitoringObjectiveConfig.TrainingDataset.Builder.clearGcsSource()The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.clearLoggingSamplingStrategy()Strategy to sample data from Training Dataset.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.clearTargetField()The target field name the model is to predict.ModelMonitoringObjectiveConfig.Builder.getTrainingDatasetBuilder()Training dataset for models.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.mergeBigquerySource(BigQuerySource value) The BigQuery table of the unmanaged Dataset used to train this Model.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.mergeFrom(ModelMonitoringObjectiveConfig.TrainingDataset other) ModelMonitoringObjectiveConfig.TrainingDataset.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelMonitoringObjectiveConfig.TrainingDataset.Builder.mergeFrom(com.google.protobuf.Message other) ModelMonitoringObjectiveConfig.TrainingDataset.Builder.mergeGcsSource(GcsSource value) The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.mergeLoggingSamplingStrategy(SamplingStrategy value) Strategy to sample data from Training Dataset.ModelMonitoringObjectiveConfig.TrainingDataset.newBuilder()ModelMonitoringObjectiveConfig.TrainingDataset.newBuilder(ModelMonitoringObjectiveConfig.TrainingDataset prototype) ModelMonitoringObjectiveConfig.TrainingDataset.newBuilderForType()ModelMonitoringObjectiveConfig.TrainingDataset.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) ModelMonitoringObjectiveConfig.TrainingDataset.Builder.setBigquerySource(BigQuerySource value) The BigQuery table of the unmanaged Dataset used to train this Model.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.setBigquerySource(BigQuerySource.Builder builderForValue) The BigQuery table of the unmanaged Dataset used to train this Model.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.setDataFormat(String value) Data format of the dataset, only applicable if the input is from Google Cloud Storage.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.setDataFormatBytes(com.google.protobuf.ByteString value) Data format of the dataset, only applicable if the input is from Google Cloud Storage.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.setDataset(String value) The resource name of the Dataset used to train this Model.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.setDatasetBytes(com.google.protobuf.ByteString value) The resource name of the Dataset used to train this Model.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.setGcsSource(GcsSource value) The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.setGcsSource(GcsSource.Builder builderForValue) The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.setLoggingSamplingStrategy(SamplingStrategy value) Strategy to sample data from Training Dataset.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.setLoggingSamplingStrategy(SamplingStrategy.Builder builderForValue) Strategy to sample data from Training Dataset.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.setTargetField(String value) The target field name the model is to predict.ModelMonitoringObjectiveConfig.TrainingDataset.Builder.setTargetFieldBytes(com.google.protobuf.ByteString value) The target field name the model is to predict.ModelMonitoringObjectiveConfig.TrainingDataset.toBuilder()Methods in com.google.cloud.aiplatform.v1 with parameters of type ModelMonitoringObjectiveConfig.TrainingDataset.BuilderModifier and TypeMethodDescriptionModelMonitoringObjectiveConfig.Builder.setTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset.Builder builderForValue) Training dataset for models.