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authorZheng RuiFeng <ruifengz@foxmail.com>2016-05-26 22:39:14 -0700
committerReynold Xin <rxin@databricks.com>2016-05-26 22:39:14 -0700
commit6b1a6180e7bd45b0a0ec47de9f7c7956543f4dfa (patch)
tree6dc232bdc5955f64ebbf327c57d95d4c8346524b /python/pyspark/mllib
parentee3609a2ef55ae5a2797e5ffe06c2849cbd11e15 (diff)
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[MINOR] Fix Typos 'a -> an'
## What changes were proposed in this pull request? `a` -> `an` I use regex to generate potential error lines: `grep -in ' a [aeiou]' mllib/src/main/scala/org/apache/spark/ml/*/*scala` and review them line by line. ## How was this patch tested? local build `lint-java` checking Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #13317 from zhengruifeng/a_an.
Diffstat (limited to 'python/pyspark/mllib')
-rw-r--r--python/pyspark/mllib/regression.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/python/pyspark/mllib/regression.py b/python/pyspark/mllib/regression.py
index 43d9072a24..705022934e 100644
--- a/python/pyspark/mllib/regression.py
+++ b/python/pyspark/mllib/regression.py
@@ -648,7 +648,7 @@ class IsotonicRegressionModel(Saveable, Loader):
@since("1.4.0")
def save(self, sc, path):
- """Save a IsotonicRegressionModel."""
+ """Save an IsotonicRegressionModel."""
java_boundaries = _py2java(sc, self.boundaries.tolist())
java_predictions = _py2java(sc, self.predictions.tolist())
java_model = sc._jvm.org.apache.spark.mllib.regression.IsotonicRegressionModel(
@@ -658,7 +658,7 @@ class IsotonicRegressionModel(Saveable, Loader):
@classmethod
@since("1.4.0")
def load(cls, sc, path):
- """Load a IsotonicRegressionModel."""
+ """Load an IsotonicRegressionModel."""
java_model = sc._jvm.org.apache.spark.mllib.regression.IsotonicRegressionModel.load(
sc._jsc.sc(), path)
py_boundaries = _java2py(sc, java_model.boundaryVector()).toArray()
@@ -694,7 +694,7 @@ class IsotonicRegression(object):
@since("1.4.0")
def train(cls, data, isotonic=True):
"""
- Train a isotonic regression model on the given data.
+ Train an isotonic regression model on the given data.
:param data:
RDD of (label, feature, weight) tuples.