use hasattr to check if model has been fitted

turftopic/models/cluster.py

@@ -181,7 +181,6 @@ def __init__(
         self.feature_importance = feature_importance
         self.n_reduce_to = n_reduce_to
         self.reduction_method = reduction_method
-        self.components_ = None
 
     def _merge_agglomerative(self, n_reduce_to: int) -> np.ndarray:
         n_topics = self.components_.shape[0]
@@ -328,7 +327,7 @@ def fit_transform_dynamic(
         if embeddings is None:
             embeddings = self.encoder_.encode(raw_documents)
         for i_timebin in np.arange(len(self.time_bin_edges) - 1):
-            if self.components_ is not None:
+            if hasattr(self, 'components_'):
                 doc_topic_matrix = label_binarize(
                     self.labels_, classes=self.classes_
                 )

turftopic/models/gmm.py

@@ -101,7 +101,6 @@ def __init__(
             self.gmm_ = make_pipeline(dimensionality_reduction, mixture)
         else:
             self.gmm_ = mixture
-        self.components_ = None
 
     def fit_transform(
         self, raw_documents, y=None, embeddings: Optional[np.ndarray] = None
@@ -163,7 +162,7 @@ def fit_transform_dynamic(
         bins: Union[int, list[datetime]] = 10,
     ):
         time_labels, self.time_bin_edges = bin_timestamps(timestamps, bins)
-        if self.components_ is not None:
+        if hasattr(self, 'components_'):
             doc_topic_matrix = self.transform(
                 raw_documents, embeddings=embeddings
             )