code: def compute_predicted_y(self, model, dataset):
      predicted_y = None
      if dataset is not None and model is not None:
          try:
              predicted_y = model.predict(dataset)
          except Exception as ex:
              ex_str = _format_exception(ex)
              msg = "Model does not support predict method for given"
              "dataset type, inner error: {}".format(ex_str)
              raise ValueError(msg)
          predicted_y = self.predicted_y_to_list(predicted_y)
      return predicted_y
  
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 6 for calling the ErrorAnalysisDashboardInput obj's underlying member method code with example usage: obj.compute_predicted_y(model, dataset) and returns: predicted_y