Github user mengxr commented on a diff in the pull request: https://github.com/apache/spark/pull/8926#discussion_r40698242 --- Diff: python/pyspark/ml/regression.py --- @@ -609,6 +611,147 @@ class GBTRegressionModel(TreeEnsembleModels): """ +@inherit_doc +class AFTSurvivalRegression(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredictionCol, + HasFitIntercept, HasMaxIter, HasTol): + """ + Accelerated Failure Time(AFT) Model Survival Regression + + Fit a parametric AFT survival regression model based on the Weibull distribution + of the survival time. + see also, `https://en.wikipedia.org/wiki/Accelerated_failure_time_model` + + >>> from pyspark.mllib.linalg import Vectors + >>> df = sqlContext.createDataFrame([ + ... (1.0, Vectors.dense(1.0), 1.0), + ... (0.0, Vectors.sparse(1, [], []), 0.0)], ["label", "features", "censor"]) + >>> aftsr = AFTSurvivalRegression() + >>> model = aftsr.fit(df) + >>> model.transform(df).show() + +-----+---------+------+----------+ + |label| features|censor|prediction| + +-----+---------+------+----------+ + | 1.0| [1.0]| 1.0| 1.0| + | 0.0|(1,[],[])| 0.0| 1.0| + +-----+---------+------+----------+ + ... + + .. versionadded:: 1.6.0 + """ + + # a placeholder to make it appear in the generated doc + censorCol = Param(Params._dummy(), "censorCol", + "censor column name. The value of this column could be 0 or 1. " + + "If the value is 1, it means the event has occurred i.e. " + + "uncensored; otherwise censored.") + quantileProbabilities = \ + Param(Params._dummy(), "quantileProbabilities", + "quantile probabilities array. Values of the quantile probabilities array " + + "should be in the range [0, 1] and the array should be non-empty.") --- End diff -- The range should be `(0, 1)` instead of `[0, 1]`. Btw, it would be better to keep the doc in-sync with Scala. We can do that in a separate PR.
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