Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/3680#discussion_r22062835
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/random/RandomDataGenerator.scala ---
@@ -99,3 +99,69 @@ class PoissonGenerator(val mean: Double) extends
RandomDataGenerator[Double] {
override def copy(): PoissonGenerator = new PoissonGenerator(mean)
}
+
+/**
+ * :: DeveloperApi ::
+ * Generates i.i.d. samples from the exponential distribution with the
given mean.
+ *
+ * @param mean mean for the exponential distribution.
+ */
+@DeveloperApi
+class ExponentialGenerator(val mean: Double) extends
RandomDataGenerator[Double] {
+
+ private var rng = new ExponentialDistribution(mean)
+
+ override def nextValue(): Double = rng.sample()
+
+ override def setSeed(seed: Long) {
+ rng = new ExponentialDistribution(mean)
+ rng.reseedRandomGenerator(seed)
+ }
+
+ override def copy(): ExponentialGenerator = new
ExponentialGenerator(mean)
+}
+
+/**
+ * :: DeveloperApi ::
+ * Generates i.i.d. samples from the gamma distribution with the given
shape and scale.
+ *
+ * @param shape shape for the gamma distribution.
+ * @param scale scale for the gamma distribution
+ */
+@DeveloperApi
+class GammaGenerator(val shape: Double, val scale: Double) extends
RandomDataGenerator[Double] {
+
+ private var rng = new GammaDistribution(shape, scale)
+
+ override def nextValue(): Double = rng.sample()
+
+ override def setSeed(seed: Long) {
+ rng = new GammaDistribution(shape, scale)
+ rng.reseedRandomGenerator(seed)
+ }
+
+ override def copy(): GammaGenerator = new GammaGenerator(shape, scale)
+}
+
+/**
+ * :: DeveloperApi ::
+ * Generates i.i.d. samples from the log normal distribution with the
+ * given mean and standard deviation.
+ *
+ * @param mean mean for the log normal distribution.
+ * @param std standard deviation for the log normal distribution
+ */
+@DeveloperApi
+class LogNormalGenerator(val mean: Double, val std: Double) extends
RandomDataGenerator[Double] {
+
+ private var rng = new LogNormalDistribution(mean, std)
+
+ override def nextValue(): Double = rng.sample()
+
+ override def setSeed(seed: Long) {
+ rng = new LogNormalDistribution(mean, std)
--- End diff --
not necessary
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