def generate_report(self, name=None, level=None, notes=None):
self.reporting = ClassificationReporting(self.clf.best_estimator_,
self.X_train, self.X_test,
self.y_train, self.y_test,
self.n_classes)
if name:
self.reporting.set_name(name)
if level:
self.reporting.set_level(level)
if notes:
self.reporting.set_notes(notes)
self.report = self.reporting.create_report(output=True, show_roc=False)
# incase it's a function...
self.clf.best_params_["features__text__tfidf__tokenizer"] = \
pickle.dumps(self.clf.best_params_["features__text__tfidf__tokenizer"])
self.report["params"] = self.clf.best_params_
return self
