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Fix documentation of KMeans #3595

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Mar 9, 2021
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Fix documentation of KMeans #3595

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7 changes: 1 addition & 6 deletions python/cuml/cluster/kmeans.pyx
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Expand Up @@ -211,12 +211,7 @@ class KMeans(Base,
Number of instances the k-means algorithm will be called with different seeds.
The final results will be from the instance that produces lowest inertia out
of n_init instances.
oversampling_factor : float64
scalable k-means|| oversampling factor
max_samples_per_batch : int (default=1<<15)
maximum number of samples to use for each batch
of the pairwise distance computation.
oversampling_factor : int (default = 2)
oversampling_factor : float64 (default = 2.0)
The amount of points to sample
in scalable k-means++ initialization for potential centroids.
Increasing this value can lead to better initial centroids at the
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