IsotonicRegression¶
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class
pyspark.mllib.regression.
IsotonicRegression
[source]¶ Isotonic regression. Currently implemented using parallelized pool adjacent violators algorithm. Only univariate (single feature) algorithm supported.
Sequential PAV implementation based on:
Tibshirani, Ryan J., Holger Hoefling, and Robert Tibshirani. “Nearly-isotonic regression.” Technometrics 53.1 (2011): 54-61. Available from http://www.stat.cmu.edu/~ryantibs/papers/neariso.pdf
Sequential PAV parallelization based on:
Kearsley, Anthony J., Richard A. Tapia, and Michael W. Trosset. “An approach to parallelizing isotonic regression.” Applied Mathematics and Parallel Computing. Physica-Verlag HD, 1996. 141-147. Available from http://softlib.rice.edu/pub/CRPC-TRs/reports/CRPC-TR96640.pdf
See Isotonic regression (Wikipedia).
New in version 1.4.0.
Methods
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