MetadataSegmentsPerformance =========================== .. currentmodule:: deepchecks.nlp.checks.model_evaluation .. autoclass:: MetadataSegmentsPerformance :special-members: __init__ .. rubric:: Attributes .. autosummary:: :toctree: MetadataSegmentsPerformance.categorical_aggregation_threshold MetadataSegmentsPerformance.min_category_size_ratio MetadataSegmentsPerformance.n_to_show MetadataSegmentsPerformance.n_top_features MetadataSegmentsPerformance.random_state MetadataSegmentsPerformance.segment_minimum_size_ratio .. rubric:: Methods .. autosummary:: :toctree: MetadataSegmentsPerformance.add_condition MetadataSegmentsPerformance.add_condition_segments_relative_performance_greater_than MetadataSegmentsPerformance.clean_conditions MetadataSegmentsPerformance.conditions_decision MetadataSegmentsPerformance.config MetadataSegmentsPerformance.from_config MetadataSegmentsPerformance.from_json MetadataSegmentsPerformance.metadata MetadataSegmentsPerformance.name MetadataSegmentsPerformance.params MetadataSegmentsPerformance.remove_condition MetadataSegmentsPerformance.run MetadataSegmentsPerformance.run_logic MetadataSegmentsPerformance.to_json Examples ~~~~~~~~ .. raw:: html
.. only:: html .. figure:: /nlp/auto_checks/model_evaluation/images/thumb/sphx_glr_plot_metadata_segments_performance_thumb.png :alt: MetadataSegmentsPerformance :ref:`sphx_glr_nlp_auto_checks_model_evaluation_plot_metadata_segments_performance.py` .. raw:: html