Package org.mlflow.api.proto

Interface Service.SearchLoggedModelsOrBuilder

    • Method Detail

      • getExperimentIdsList

        java.util.List<java.lang.String> getExperimentIdsList()
         IDs of the Experiments in which to search for Logged Models.
        repeated string experiment_ids = 1;
        Returns:
        A list containing the experimentIds.

      • getExperimentIdsCount

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

      • getExperimentIds

        java.lang.String getExperimentIds​(int index)
         IDs of the Experiments in which to search for Logged Models.
        repeated string experiment_ids = 1;
        Parameters:
        index - The index of the element to return.
        Returns:
        The experimentIds at the given index.

      • getExperimentIdsBytes

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

      • hasFilter

        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;
        Returns:
        Whether the filter field is set.

      • getFilter

        java.lang.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;
        Returns:
        The filter.

      • getFilterBytes

        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;
        Returns:
        The bytes for filter.

      • getDatasetsList

        java.util.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;

      • getDatasets

        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;

      • getDatasetsCount

        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;

      • getDatasetsOrBuilderList

        java.util.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;

      • getDatasetsOrBuilder

        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;

      • hasMaxResults

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

      • getMaxResults

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

      • getOrderByList

        java.util.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;

      • getOrderBy

        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;

      • getOrderByCount

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

      • getOrderByOrBuilderList

        java.util.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;

      • getOrderByOrBuilder

        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;

      • hasPageToken

        boolean hasPageToken()
         Token indicating the page of Logged Models to fetch.
        optional string page_token = 5;
        Returns:
        Whether the pageToken field is set.

      • getPageToken

        java.lang.String getPageToken()
         Token indicating the page of Logged Models to fetch.
        optional string page_token = 5;
        Returns:
        The pageToken.

      • getPageTokenBytes

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