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From mengxr <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-8518] [ML] Log-linear models for surviv...
Date Thu, 17 Sep 2015 23:29:01 GMT
Github user mengxr commented on a diff in the pull request:

    https://github.com/apache/spark/pull/8611#discussion_r39811248
  
    --- Diff: mllib/src/main/scala/org/apache/spark/ml/regression/AFTSurvivalRegression.scala
---
    @@ -0,0 +1,447 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.spark.ml.regression
    +
    +import scala.collection.mutable
    +
    +import breeze.linalg.{DenseVector => BDV}
    +import breeze.optimize.{CachedDiffFunction, DiffFunction, LBFGS => BreezeLBFGS}
    +
    +import org.apache.spark.{SparkException, Logging}
    +import org.apache.spark.annotation.{Since, Experimental}
    +import org.apache.spark.ml.{Model, Estimator}
    +import org.apache.spark.ml.param._
    +import org.apache.spark.ml.param.shared._
    +import org.apache.spark.ml.util.{SchemaUtils, Identifiable}
    +import org.apache.spark.mllib.linalg.{Vector, Vectors, VectorUDT}
    +import org.apache.spark.mllib.linalg.BLAS
    +import org.apache.spark.rdd.RDD
    +import org.apache.spark.sql.{Row, DataFrame}
    +import org.apache.spark.sql.functions._
    +import org.apache.spark.sql.types.{DoubleType, StructType}
    +import org.apache.spark.storage.StorageLevel
    +
    +/**
    + * Params for accelerated failure time (AFT) regression.
    + */
    +private[regression] trait AFTSurvivalRegressionParams extends Params
    +  with HasFeaturesCol with HasLabelCol with HasPredictionCol with HasMaxIter
    +  with HasTol with HasFitIntercept {
    +
    +  /**
    +   * Param for censored 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 it
censored.
    +   * @group param
    +   */
    +  @Since("1.6.0")
    +  final val censoredCol: Param[String] = new Param(this, "censoredCol", "censored column
name")
    +
    +  /** @group getParam */
    +  @Since("1.6.0")
    +  def getCensoredCol: String = $(censoredCol)
    +
    +  /**
    +   * Param for quantile probabilities array.
    +   * Values of the quantile probabilities array should be in the range [0, 1].
    +   * @group param
    +   */
    +  @Since("1.6.0")
    +  final val quantileProbabilities: DoubleArrayParam = new DoubleArrayParam(this, "quantile",
    --- End diff --
    
    `"quantile"` -> `"quantileProbabilities"` (should be detected by `checkParams`)


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