def cluster()

in src/text_clustering.py [0:0]

• 10 lines of code
• 1 McCabe index (conditional complexity)

    def cluster(self, embeddings):
        print(
            f"Using DBSCAN (eps, nim_samples)=({self.dbscan_eps,}, {self.dbscan_min_samples})"
        )
        clustering = DBSCAN(
            eps=self.dbscan_eps,
            min_samples=self.dbscan_min_samples,
            n_jobs=self.dbscan_n_jobs,
        ).fit(embeddings)

        return clustering.labels_