Package org.mlflow.api.proto

Class Service.SearchLoggedModels.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderType>
com.google.protobuf.GeneratedMessageV3.Builder<Service.SearchLoggedModels.Builder>
org.mlflow.api.proto.Service.SearchLoggedModels.Builder
All Implemented Interfaces:
com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable, Service.SearchLoggedModelsOrBuilder
Enclosing class:
Service.SearchLoggedModels
public static final class Service.SearchLoggedModels.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Service.SearchLoggedModels.Builder> implements Service.SearchLoggedModelsOrBuilder
Protobuf type mlflow.SearchLoggedModels

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<Service.SearchLoggedModels.Builder>

    • clear

      public Service.SearchLoggedModels.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessageV3.Builder<Service.SearchLoggedModels.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<Service.SearchLoggedModels.Builder>

    • getDefaultInstanceForType

      public Service.SearchLoggedModels getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public Service.SearchLoggedModels build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public Service.SearchLoggedModels buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • clone

      public Service.SearchLoggedModels.Builder clone()
      Specified by:
      clone in interface com.google.protobuf.Message.Builder
      Specified by:
      clone in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clone in class com.google.protobuf.GeneratedMessageV3.Builder<Service.SearchLoggedModels.Builder>

    • setField

      public Service.SearchLoggedModels.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
      Specified by:
      setField in interface com.google.protobuf.Message.Builder
      Overrides:
      setField in class com.google.protobuf.GeneratedMessageV3.Builder<Service.SearchLoggedModels.Builder>

    • clearField

      public Service.SearchLoggedModels.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
      Specified by:
      clearField in interface com.google.protobuf.Message.Builder
      Overrides:
      clearField in class com.google.protobuf.GeneratedMessageV3.Builder<Service.SearchLoggedModels.Builder>

    • clearOneof

      public Service.SearchLoggedModels.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
      Specified by:
      clearOneof in interface com.google.protobuf.Message.Builder
      Overrides:
      clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<Service.SearchLoggedModels.Builder>

    • setRepeatedField

      public Service.SearchLoggedModels.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
      Specified by:
      setRepeatedField in interface com.google.protobuf.Message.Builder
      Overrides:
      setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<Service.SearchLoggedModels.Builder>

    • addRepeatedField

      public Service.SearchLoggedModels.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
      Specified by:
      addRepeatedField in interface com.google.protobuf.Message.Builder
      Overrides:
      addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<Service.SearchLoggedModels.Builder>

    • mergeFrom

      public Service.SearchLoggedModels.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<Service.SearchLoggedModels.Builder>

    • mergeFrom

      public Service.SearchLoggedModels.Builder mergeFrom(Service.SearchLoggedModels other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<Service.SearchLoggedModels.Builder>

    • mergeFrom

      public Service.SearchLoggedModels.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<Service.SearchLoggedModels.Builder>
      Throws:
      IOException

    • getExperimentIdsList

      public com.google.protobuf.ProtocolStringList getExperimentIdsList()
       IDs of the Experiments in which to search for Logged Models.
      repeated string experiment_ids = 1;
      Specified by:
      getExperimentIdsList in interface Service.SearchLoggedModelsOrBuilder
      Returns:
      A list containing the experimentIds.

    • getExperimentIdsCount

      public int getExperimentIdsCount()
       IDs of the Experiments in which to search for Logged Models.
      repeated string experiment_ids = 1;
      Specified by:
      getExperimentIdsCount in interface Service.SearchLoggedModelsOrBuilder
      Returns:
      The count of experimentIds.

    • getExperimentIds

      public String getExperimentIds(int index)
       IDs of the Experiments in which to search for Logged Models.
      repeated string experiment_ids = 1;
      Specified by:
      getExperimentIds in interface Service.SearchLoggedModelsOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The experimentIds at the given index.

    • getExperimentIdsBytes

      public com.google.protobuf.ByteString getExperimentIdsBytes(int index)
       IDs of the Experiments in which to search for Logged Models.
      repeated string experiment_ids = 1;
      Specified by:
      getExperimentIdsBytes in interface Service.SearchLoggedModelsOrBuilder
      Parameters:
      index - The index of the value to return.
      Returns:
      The bytes of the experimentIds at the given index.

    • setExperimentIds

      public Service.SearchLoggedModels.Builder setExperimentIds(int index, String value)
       IDs of the Experiments in which to search for Logged Models.
      repeated string experiment_ids = 1;
      Parameters:
      index - The index to set the value at.
      value - The experimentIds to set.
      Returns:
      This builder for chaining.

    • addExperimentIds

      public Service.SearchLoggedModels.Builder addExperimentIds(String value)
       IDs of the Experiments in which to search for Logged Models.
      repeated string experiment_ids = 1;
      Parameters:
      value - The experimentIds to add.
      Returns:
      This builder for chaining.

    • addAllExperimentIds

      public Service.SearchLoggedModels.Builder addAllExperimentIds(Iterable<String> values)
       IDs of the Experiments in which to search for Logged Models.
      repeated string experiment_ids = 1;
      Parameters:
      values - The experimentIds to add.
      Returns:
      This builder for chaining.

    • clearExperimentIds

      public Service.SearchLoggedModels.Builder clearExperimentIds()
       IDs of the Experiments in which to search for Logged Models.
      repeated string experiment_ids = 1;
      Returns:
      This builder for chaining.

    • addExperimentIdsBytes

      public Service.SearchLoggedModels.Builder addExperimentIdsBytes(com.google.protobuf.ByteString value)
       IDs of the Experiments in which to search for Logged Models.
      repeated string experiment_ids = 1;
      Parameters:
      value - The bytes of the experimentIds to add.
      Returns:
      This builder for chaining.

    • hasFilter

      public boolean hasFilter()
       A filter expression over Logged Model info and data that allows returning a subset of
 Logged Models. The syntax is a subset of SQL that supports ANDing together binary operations
 Example: ``params.alpha < 0.3 AND metrics.accuracy > 0.9``.
      optional string filter = 2;
      Specified by:
      hasFilter in interface Service.SearchLoggedModelsOrBuilder
      Returns:
      Whether the filter field is set.

    • getFilter

      public String getFilter()
       A filter expression over Logged Model info and data that allows returning a subset of
 Logged Models. The syntax is a subset of SQL that supports ANDing together binary operations
 Example: ``params.alpha < 0.3 AND metrics.accuracy > 0.9``.
      optional string filter = 2;
      Specified by:
      getFilter in interface Service.SearchLoggedModelsOrBuilder
      Returns:
      The filter.

    • getFilterBytes

      public com.google.protobuf.ByteString getFilterBytes()
       A filter expression over Logged Model info and data that allows returning a subset of
 Logged Models. The syntax is a subset of SQL that supports ANDing together binary operations
 Example: ``params.alpha < 0.3 AND metrics.accuracy > 0.9``.
      optional string filter = 2;
      Specified by:
      getFilterBytes in interface Service.SearchLoggedModelsOrBuilder
      Returns:
      The bytes for filter.

    • setFilter

      public Service.SearchLoggedModels.Builder setFilter(String value)
       A filter expression over Logged Model info and data that allows returning a subset of
 Logged Models. The syntax is a subset of SQL that supports ANDing together binary operations
 Example: ``params.alpha < 0.3 AND metrics.accuracy > 0.9``.
      optional string filter = 2;
      Parameters:
      value - The filter to set.
      Returns:
      This builder for chaining.

    • clearFilter

      public Service.SearchLoggedModels.Builder clearFilter()
       A filter expression over Logged Model info and data that allows returning a subset of
 Logged Models. The syntax is a subset of SQL that supports ANDing together binary operations
 Example: ``params.alpha < 0.3 AND metrics.accuracy > 0.9``.
      optional string filter = 2;
      Returns:
      This builder for chaining.

    • setFilterBytes

      public Service.SearchLoggedModels.Builder setFilterBytes(com.google.protobuf.ByteString value)
       A filter expression over Logged Model info and data that allows returning a subset of
 Logged Models. The syntax is a subset of SQL that supports ANDing together binary operations
 Example: ``params.alpha < 0.3 AND metrics.accuracy > 0.9``.
      optional string filter = 2;
      Parameters:
      value - The bytes for filter to set.
      Returns:
      This builder for chaining.

    • getDatasetsList

      public List<Service.SearchLoggedModels.Dataset> getDatasetsList()
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;
      Specified by:
      getDatasetsList in interface Service.SearchLoggedModelsOrBuilder

    • getDatasetsCount

      public int getDatasetsCount()
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;
      Specified by:
      getDatasetsCount in interface Service.SearchLoggedModelsOrBuilder

    • getDatasets

      public Service.SearchLoggedModels.Dataset getDatasets(int index)
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;
      Specified by:
      getDatasets in interface Service.SearchLoggedModelsOrBuilder

    • setDatasets

      public Service.SearchLoggedModels.Builder setDatasets(int index, Service.SearchLoggedModels.Dataset value)
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;

    • setDatasets

      public Service.SearchLoggedModels.Builder setDatasets(int index, Service.SearchLoggedModels.Dataset.Builder builderForValue)
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;

    • addDatasets

      public Service.SearchLoggedModels.Builder addDatasets(Service.SearchLoggedModels.Dataset value)
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;

    • addDatasets

      public Service.SearchLoggedModels.Builder addDatasets(int index, Service.SearchLoggedModels.Dataset value)
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;

    • addDatasets

      public Service.SearchLoggedModels.Builder addDatasets(Service.SearchLoggedModels.Dataset.Builder builderForValue)
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;

    • addDatasets

      public Service.SearchLoggedModels.Builder addDatasets(int index, Service.SearchLoggedModels.Dataset.Builder builderForValue)
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;

    • addAllDatasets

      public Service.SearchLoggedModels.Builder addAllDatasets(Iterable<? extends Service.SearchLoggedModels.Dataset> values)
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;

    • clearDatasets

      public Service.SearchLoggedModels.Builder clearDatasets()
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;

    • removeDatasets

      public Service.SearchLoggedModels.Builder removeDatasets(int index)
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;

    • getDatasetsBuilder

      public Service.SearchLoggedModels.Dataset.Builder getDatasetsBuilder(int index)
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;

    • getDatasetsOrBuilder

      public Service.SearchLoggedModels.DatasetOrBuilder getDatasetsOrBuilder(int index)
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;
      Specified by:
      getDatasetsOrBuilder in interface Service.SearchLoggedModelsOrBuilder

    • getDatasetsOrBuilderList

      public List<? extends Service.SearchLoggedModels.DatasetOrBuilder> getDatasetsOrBuilderList()
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;
      Specified by:
      getDatasetsOrBuilderList in interface Service.SearchLoggedModelsOrBuilder

    • addDatasetsBuilder

      public Service.SearchLoggedModels.Dataset.Builder addDatasetsBuilder()
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;

    • addDatasetsBuilder

      public Service.SearchLoggedModels.Dataset.Builder addDatasetsBuilder(int index)
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;

    • getDatasetsBuilderList

      public List<Service.SearchLoggedModels.Dataset.Builder> getDatasetsBuilderList()
       List of datasets on which to apply the metrics filter clauses.
 For example, a filter with `metrics.accuracy > 0.9` and dataset info with name "test_dataset"
 means we will return all logged models with accuracy > 0.9 on the test_dataset.
 Metric values from ANY dataset matching the criteria are considered.
 If no datasets are specified, then metrics across all datasets are considered in the filter.
      repeated .mlflow.SearchLoggedModels.Dataset datasets = 6;

    • hasMaxResults

      public boolean hasMaxResults()
       Maximum number of Logged Models to return. Max threshold is 50.
      optional int32 max_results = 3 [default = 50];
      Specified by:
      hasMaxResults in interface Service.SearchLoggedModelsOrBuilder
      Returns:
      Whether the maxResults field is set.

    • getMaxResults

      public int getMaxResults()
       Maximum number of Logged Models to return. Max threshold is 50.
      optional int32 max_results = 3 [default = 50];
      Specified by:
      getMaxResults in interface Service.SearchLoggedModelsOrBuilder
      Returns:
      The maxResults.

    • setMaxResults

      public Service.SearchLoggedModels.Builder setMaxResults(int value)
       Maximum number of Logged Models to return. Max threshold is 50.
      optional int32 max_results = 3 [default = 50];
      Parameters:
      value - The maxResults to set.
      Returns:
      This builder for chaining.

    • clearMaxResults

      public Service.SearchLoggedModels.Builder clearMaxResults()
       Maximum number of Logged Models to return. Max threshold is 50.
      optional int32 max_results = 3 [default = 50];
      Returns:
      This builder for chaining.

    • getOrderByList

      public List<Service.SearchLoggedModels.OrderBy> getOrderByList()
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;
      Specified by:
      getOrderByList in interface Service.SearchLoggedModelsOrBuilder

    • getOrderByCount

      public int getOrderByCount()
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;
      Specified by:
      getOrderByCount in interface Service.SearchLoggedModelsOrBuilder

    • getOrderBy

      public Service.SearchLoggedModels.OrderBy getOrderBy(int index)
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;
      Specified by:
      getOrderBy in interface Service.SearchLoggedModelsOrBuilder

    • setOrderBy

      public Service.SearchLoggedModels.Builder setOrderBy(int index, Service.SearchLoggedModels.OrderBy value)
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;

    • setOrderBy

      public Service.SearchLoggedModels.Builder setOrderBy(int index, Service.SearchLoggedModels.OrderBy.Builder builderForValue)
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;

    • addOrderBy

      public Service.SearchLoggedModels.Builder addOrderBy(Service.SearchLoggedModels.OrderBy value)
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;

    • addOrderBy

      public Service.SearchLoggedModels.Builder addOrderBy(int index, Service.SearchLoggedModels.OrderBy value)
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;

    • addOrderBy

      public Service.SearchLoggedModels.Builder addOrderBy(Service.SearchLoggedModels.OrderBy.Builder builderForValue)
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;

    • addOrderBy

      public Service.SearchLoggedModels.Builder addOrderBy(int index, Service.SearchLoggedModels.OrderBy.Builder builderForValue)
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;

    • addAllOrderBy

      public Service.SearchLoggedModels.Builder addAllOrderBy(Iterable<? extends Service.SearchLoggedModels.OrderBy> values)
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;

    • clearOrderBy

      public Service.SearchLoggedModels.Builder clearOrderBy()
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;

    • removeOrderBy

      public Service.SearchLoggedModels.Builder removeOrderBy(int index)
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;

    • getOrderByBuilder

      public Service.SearchLoggedModels.OrderBy.Builder getOrderByBuilder(int index)
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;

    • getOrderByOrBuilder

      public Service.SearchLoggedModels.OrderByOrBuilder getOrderByOrBuilder(int index)
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;
      Specified by:
      getOrderByOrBuilder in interface Service.SearchLoggedModelsOrBuilder

    • getOrderByOrBuilderList

      public List<? extends Service.SearchLoggedModels.OrderByOrBuilder> getOrderByOrBuilderList()
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;
      Specified by:
      getOrderByOrBuilderList in interface Service.SearchLoggedModelsOrBuilder

    • addOrderByBuilder

      public Service.SearchLoggedModels.OrderBy.Builder addOrderByBuilder()
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;

    • addOrderByBuilder

      public Service.SearchLoggedModels.OrderBy.Builder addOrderByBuilder(int index)
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;

    • getOrderByBuilderList

      public List<Service.SearchLoggedModels.OrderBy.Builder> getOrderByBuilderList()
       List of columns for ordering the results, with additional fields for sorting criteria.
      repeated .mlflow.SearchLoggedModels.OrderBy order_by = 4;

    • hasPageToken

      public boolean hasPageToken()
       Token indicating the page of Logged Models to fetch.
      optional string page_token = 5;
      Specified by:
      hasPageToken in interface Service.SearchLoggedModelsOrBuilder
      Returns:
      Whether the pageToken field is set.

    • getPageToken

      public String getPageToken()
       Token indicating the page of Logged Models to fetch.
      optional string page_token = 5;
      Specified by:
      getPageToken in interface Service.SearchLoggedModelsOrBuilder
      Returns:
      The pageToken.

    • getPageTokenBytes

      public com.google.protobuf.ByteString getPageTokenBytes()
       Token indicating the page of Logged Models to fetch.
      optional string page_token = 5;
      Specified by:
      getPageTokenBytes in interface Service.SearchLoggedModelsOrBuilder
      Returns:
      The bytes for pageToken.

    • setPageToken

      public Service.SearchLoggedModels.Builder setPageToken(String value)
       Token indicating the page of Logged Models to fetch.
      optional string page_token = 5;
      Parameters:
      value - The pageToken to set.
      Returns:
      This builder for chaining.

    • clearPageToken

      public Service.SearchLoggedModels.Builder clearPageToken()
       Token indicating the page of Logged Models to fetch.
      optional string page_token = 5;
      Returns:
      This builder for chaining.

    • setPageTokenBytes

      public Service.SearchLoggedModels.Builder setPageTokenBytes(com.google.protobuf.ByteString value)
       Token indicating the page of Logged Models to fetch.
      optional string page_token = 5;
      Parameters:
      value - The bytes for pageToken to set.
      Returns:
      This builder for chaining.

    • setUnknownFields

      public final Service.SearchLoggedModels.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
      Specified by:
      setUnknownFields in interface com.google.protobuf.Message.Builder
      Overrides:
      setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<Service.SearchLoggedModels.Builder>

    • mergeUnknownFields

      public final Service.SearchLoggedModels.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
      Specified by:
      mergeUnknownFields in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<Service.SearchLoggedModels.Builder>