old_contents: from sklearn import datasets
  import pandas as pd
  import sklearn_explain.explainer as expl
  
  ds = datasets.load_breast_cancer();
  from sklearn.ensemble import RandomForestClassifier
  clf = RandomForestClassifier(n_estimators=120, random_state = 1960)
  
  clf.fit(ds.data , ds.target)
  
  lExplainer = expl.cModelScoreExplainer(clf)
  lExplainer.mFeatureNames = ds.feature_names
  lExplainer.fit(ds.data)
  df_rc = lExplainer.explain(ds.data)
  
  print(df_rc.head())
  
new_contents: from sklearn import datasets
  import pandas as pd
  import sklearn_explain.explainer as expl
  
  ds = datasets.load_breast_cancer();
  from sklearn.ensemble import RandomForestClassifier
  clf = RandomForestClassifier(n_estimators=120, random_state = 1960)
  
  clf.fit(ds.data , ds.target)
  
  lExplainer = expl.cModelScoreExplainer(clf)
  lExplainer.mSettings.mFeatureNames = ds.feature_names
  lExplainer.fit(ds.data)
  df_rc = lExplainer.explain(ds.data)
  
  print(df_rc.head())
  
subject: Add a config #6