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From vectorijk <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-10688][ML][PySpark] Python API for AFTS...
Date Thu, 01 Oct 2015 06:25:20 GMT
Github user vectorijk commented on a diff in the pull request:

    https://github.com/apache/spark/pull/8926#discussion_r40882471
  
    --- 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 --
    
    changed that in doc


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