BisectingKMeansSummary¶
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class
pyspark.ml.clustering.
BisectingKMeansSummary
(java_obj=None)[source]¶ Bisecting KMeans clustering results for a given model.
New in version 2.1.0.
Attributes
Attributes Documentation
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cluster
¶ DataFrame of predicted cluster centers for each training data point.
New in version 2.1.0.
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clusterSizes
¶ Size of (number of data points in) each cluster.
New in version 2.1.0.
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featuresCol
¶ Name for column of features in predictions.
New in version 2.1.0.
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k
¶ The number of clusters the model was trained with.
New in version 2.1.0.
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numIter
¶ Number of iterations.
New in version 2.4.0.
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predictionCol
¶ Name for column of predicted clusters in predictions.
New in version 2.1.0.
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predictions
¶ DataFrame produced by the model’s transform method.
New in version 2.1.0.
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trainingCost
¶ Sum of squared distances to the nearest centroid for all points in the training dataset. This is equivalent to sklearn’s inertia.
New in version 3.0.0.
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