Repository: spark Updated Branches: refs/heads/master 688e521c2 -> d576e76bb
[MINOR][ML] Use coefficients replace weights Use ```coefficients``` replace ```weights```, I wish they are the last two. mengxr Author: Yanbo Liang <yblia...@gmail.com> Closes #10065 from yanboliang/coefficients. Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/d576e76b Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/d576e76b Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/d576e76b Branch: refs/heads/master Commit: d576e76bbaa818480d31d2b8fbbe4b15718307d9 Parents: 688e521 Author: Yanbo Liang <yblia...@gmail.com> Authored: Thu Dec 3 11:37:34 2015 -0800 Committer: Xiangrui Meng <m...@databricks.com> Committed: Thu Dec 3 11:37:34 2015 -0800 ---------------------------------------------------------------------- python/pyspark/ml/classification.py | 2 +- python/pyspark/ml/regression.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/d576e76b/python/pyspark/ml/classification.py ---------------------------------------------------------------------- diff --git a/python/pyspark/ml/classification.py b/python/pyspark/ml/classification.py index 4a2982e..5599b8f 100644 --- a/python/pyspark/ml/classification.py +++ b/python/pyspark/ml/classification.py @@ -49,7 +49,7 @@ class LogisticRegression(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredicti ... Row(label=0.0, weight=2.0, features=Vectors.sparse(1, [], []))]).toDF() >>> lr = LogisticRegression(maxIter=5, regParam=0.01, weightCol="weight") >>> model = lr.fit(df) - >>> model.weights + >>> model.coefficients DenseVector([5.5...]) >>> model.intercept -2.68... http://git-wip-us.apache.org/repos/asf/spark/blob/d576e76b/python/pyspark/ml/regression.py ---------------------------------------------------------------------- diff --git a/python/pyspark/ml/regression.py b/python/pyspark/ml/regression.py index 944e648..a0bb8ce 100644 --- a/python/pyspark/ml/regression.py +++ b/python/pyspark/ml/regression.py @@ -40,7 +40,7 @@ class LinearRegression(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPrediction Linear regression. The learning objective is to minimize the squared error, with regularization. - The specific squared error loss function used is: L = 1/2n ||A weights - y||^2^ + The specific squared error loss function used is: L = 1/2n ||A coefficients - y||^2^ This support multiple types of regularization: - none (a.k.a. ordinary least squares) --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
