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from sklearn.model_selection import train_test_split
import numpy as np
from cluster.clusterer import Clusterer
# for determing which clustering funciton to call
from cluster.opts import clustering_methods
def main(
X: np.array,
y: np.array,
args: dict,
) -> dict:
cluster_alg: Clusterer = clustering_methods[args["algorithm"]]
alg = cluster_alg.from_dict(args)
alg.build(X)
return alg.to_dict()
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