fix: incorrect array type

core-model-prediction/hypothesis.py

@@ -84,8 +84,8 @@ class BaseModelHypothesis:
         return features
 
     def calculate_not_normalized_features(self, text: str) -> List[float]:
-        sentiment_intensity = self.measure_sentiment_intensity(text)
-        readability_scores = [self.measure_readability(text)]
+        sentiment_intensity = [self.measure_sentiment_intensity(text)]
+        readability_scores = self.measure_readability(text)
         perplexity = [self.gemma2bdependencies.calculate_perplexity(text)]
         burstiness = [self.gemma2bdependencies.calculate_burstiness(text)]
         features = sentiment_intensity + readability_scores + perplexity + burstiness