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authorSandeep <sandeep@techaddict.me>2014-04-10 15:04:13 -0700
committerPatrick Wendell <pwendell@gmail.com>2014-04-10 15:04:13 -0700
commit930b70f0523e96fe01c1317ef7fad1b76b36d4d9 (patch)
treefba70b8897f6c5ae1123e4717d8efdb4d4b0acc4 /mllib
parentf0466625200842f3cc486e9aa1caa417586be533 (diff)
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Remove Unnecessary Whitespace's
stack these together in a commit else they show up chunk by chunk in different commits. Author: Sandeep <sandeep@techaddict.me> Closes #380 from techaddict/white_space and squashes the following commits: b58f294 [Sandeep] Remove Unnecessary Whitespace's
Diffstat (limited to 'mllib')
-rw-r--r--mllib/src/main/scala/org/apache/spark/mllib/optimization/Optimizer.scala2
-rw-r--r--mllib/src/main/scala/org/apache/spark/mllib/regression/GeneralizedLinearAlgorithm.scala4
2 files changed, 3 insertions, 3 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/optimization/Optimizer.scala b/mllib/src/main/scala/org/apache/spark/mllib/optimization/Optimizer.scala
index e41d9bbe18..7f6d94571b 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/optimization/Optimizer.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/optimization/Optimizer.scala
@@ -30,7 +30,7 @@ import org.apache.spark.mllib.linalg.Vector
trait Optimizer extends Serializable {
/**
- * Solve the provided convex optimization problem.
+ * Solve the provided convex optimization problem.
*/
def optimize(data: RDD[(Double, Vector)], initialWeights: Vector): Vector
}
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/regression/GeneralizedLinearAlgorithm.scala b/mllib/src/main/scala/org/apache/spark/mllib/regression/GeneralizedLinearAlgorithm.scala
index 3bd0017aa1..d969e7aa60 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/regression/GeneralizedLinearAlgorithm.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/regression/GeneralizedLinearAlgorithm.scala
@@ -26,7 +26,7 @@ import org.apache.spark.mllib.optimization._
import org.apache.spark.mllib.linalg.{Vectors, Vector}
/**
- * GeneralizedLinearModel (GLM) represents a model trained using
+ * GeneralizedLinearModel (GLM) represents a model trained using
* GeneralizedLinearAlgorithm. GLMs consist of a weight vector and
* an intercept.
*
@@ -38,7 +38,7 @@ abstract class GeneralizedLinearModel(val weights: Vector, val intercept: Double
/**
* Predict the result given a data point and the weights learned.
- *
+ *
* @param dataMatrix Row vector containing the features for this data point
* @param weightMatrix Column vector containing the weights of the model
* @param intercept Intercept of the model.