diff options
Diffstat (limited to 'python/pyspark/mllib')
-rw-r--r-- | python/pyspark/mllib/regression.py | 6 |
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. |