docstr: returns metrics as a dictionary
docstr_tok: ["returns","metrics","as","a","dictionary"]
code: def metrics(self):
      """
      returns metrics as a dictionary
      """
      return self.ModelProcessor.log_metrics()
  
imports: from explainx import *
  from explainx.lib.imports import *
  from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
  import json
  from explainx.lib.models.transformer_default import defaultTransformer
  from explainx.lib.models.modelprocessor import ModelProcessor
  from explainx.lib.modules.local_explanation.index import localExplanation
  from explainx.lib.modules.cohort_analysis.index import cohort
  from explainx.lib.modules.feature_interactions.index import featureInteraction
  from explainx.lib.frameworks.shapley_values import ShapleyValues
label_desc: Use image node_id 6 for calling the ExplainxModules obj's underlying member method code with example usage: obj.metrics() and returns: self