code: def matrix(
      self,
      features,
      filters,
      composite_filters,
      quantile_binning,
      num_bins,
      metric,
  ):
      try:
          if features[0] is None and features[1] is None:
              return {WidgetRequestResponseConstants.DATA: []}
          metric = display_name_to_metric[metric]
          self._error_analyzer.update_metric(metric)
          matrix = self._error_analyzer.compute_matrix(
              features,
              filters,
              composite_filters,
              quantile_binning,
              num_bins,
          )
          return {WidgetRequestResponseConstants.DATA: matrix}
      except Exception as e:
          print(e)
          traceback.print_exc()
          return {
              WidgetRequestResponseConstants.ERROR: "Failed to generate json matrix representation",
              WidgetRequestResponseConstants.DATA: [],
          }
  
imports: import traceback
  import numpy
  import pandas
  from erroranalysis._internal.constants import Metrics, display_name_to_metric, metric_to_display_name
  from erroranalysis._internal.error_analyzer import ModelAnalyzer, PredictionsAnalyzer
  from erroranalysis._internal.utils import is_spark
  from raiutils.data_processing import convert_to_list, serialize_json_safe
  from raiutils.models import is_classifier
  from responsibleai._interfaces import ErrorAnalysisData
  from .constants import ModelTask
  from .error_analysis_constants import ErrorAnalysisDashboardInterface, MethodConstants
  from .error_handling import _format_exception
  from .explanation_constants import ExplanationDashboardInterface, WidgetRequestResponseConstants
label_desc: Use image node_id 11 for calling the ErrorAnalysisDashboardInput obj's underlying member method code with example usage: obj.matrix(features, filters, composite_filters, quantile_binning, num_bins, metric) and returns: dict, dict, dict