Add BERTopic.

LLMTopicDetection_BERTopic/bertopic/cluster/_base.py

@@ -0,0 +1,41 @@
+import numpy as np
+
+
+class BaseCluster:
+    """The Base Cluster class.
+
+    Using this class directly in BERTopic will make it skip
+    over the cluster step. As a result, topics need to be passed
+    to BERTopic in the form of its `y` parameter in order to create
+    topic representations.
+
+    Examples:
+    This will skip over the cluster step in BERTopic:
+
+    ```python
+    from bertopic import BERTopic
+    from bertopic.cluster import BaseCluster
+
+    empty_cluster_model = BaseCluster()
+
+    topic_model = BERTopic(hdbscan_model=empty_cluster_model)
+    ```
+
+    Then, this class can be used to perform manual topic modeling.
+    That is, topic modeling on a topics that were already generated before
+    without the need to learn them:
+
+    ```python
+    topic_model.fit(docs, y=y)
+    ```
+    """
+
+    def fit(self, X, y=None):
+        if y is not None:
+            self.labels_ = y
+        else:
+            self.labels_ = None
+        return self
+
+    def transform(self, X: np.ndarray) -> np.ndarray:
+        return X