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