OptionaldatasetsOptionalexperimentThe IDs of the experiments in which to search for logged models.
OptionalfilterA 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 AND'ing together binary operations.
Example: params.alpha < 0.3 AND metrics.accuracy > 0.9.
OptionalmaxThe maximum number of Logged Models to return. The maximum limit is 50.
OptionalorderThe list of columns for ordering the results, with additional fields for sorting criteria.
OptionalpageThe token indicating the page of logged models to fetch.
List of datasets on which to apply the metrics filter clauses. For example, a filter with
metrics.accuracy > 0.9and 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.