#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

"""
PySpark is the Python API for Spark.

Public classes:

    - L{SparkContext<pyspark.context.SparkContext>}
        Main entry point for Spark functionality.
    - L{RDD<pyspark.rdd.RDD>}
        A Resilient Distributed Dataset (RDD), the basic abstraction in Spark.
    - L{Broadcast<pyspark.broadcast.Broadcast>}
        A broadcast variable that gets reused across tasks.
    - L{Accumulator<pyspark.accumulators.Accumulator>}
        An "add-only" shared variable that tasks can only add values to.
    - L{SparkFiles<pyspark.files.SparkFiles>}
        Access files shipped with jobs.
    - L{StorageLevel<pyspark.storagelevel.StorageLevel>}
        Finer-grained cache persistence levels.
"""
import sys
import os
sys.path.insert(0, os.path.join(os.environ["SPARK_HOME"], "python/lib/py4j0.7.egg"))

from pyspark.mllib.regression import LinearRegressionModel, LassoModel, RidgeRegressionModel, LinearRegressionWithSGD, LassoWithSGD, RidgeRegressionWithSGD
from pyspark.mllib.classification import LogisticRegressionModel, SVMModel, LogisticRegressionWithSGD, SVMWithSGD
from pyspark.mllib.recommendation import MatrixFactorizationModel, ALS
from pyspark.mllib.clustering import KMeansModel, KMeans


__all__ = ["LinearRegressionModel", "LassoModel", "RidgeRegressionModel", "LinearRegressionWithSGD", "LassoWithSGD", "RidgeRegressionWithSGD", "LogisticRegressionModel", "SVMModel", "LogisticRegressionWithSGD", "SVMWithSGD", "MatrixFactorizationModel", "ALS", "KMeansModel", "KMeans"]

@@ -788,810 +788,39 @@
 %22%0APy
-Spark is the Python API for Spark.%0A%0APublic classes:%0A%0A    - L%7BSparkContext%3Cpyspark.context.SparkContext%3E%7D%0A        Main entry point for Spark functionality.%0A    - L%7BRDD%3Cpyspark.rdd.RDD%3E%7D%0A        A Resilient Distributed Dataset (RDD), the basic abstraction in Spark.%0A    - L%7BBroadcast%3Cpyspark.broadcast.Broadcast%3E%7D%0A        A broadcast variable that gets reused across tasks.%0A    - L%7BAccumulator%3Cpyspark.accumulators.Accumulator%3E%7D%0A        An %22add-only%22 shared variable that tasks can only add values to.%0A    - L%7BSparkFiles%3Cpyspark.files.SparkFiles%3E%7D%0A        Access files shipped with jobs.%0A    - L%7BStorageLevel%3Cpyspark.storagelevel.StorageLevel%3E%7D%0A        Finer-grained cache persistence levels.%0A%22%22%22%0Aimport sys%0Aimport os%0Asys.path.insert(0, os.path.join(os.environ%5B%22SPARK_HOME%22%5D, %22python/lib/py4j0.7.egg%22))%0A%0A
+thon bindings for MLlib.%0A%22%22%22%0A%0A#
 from
@@ -963,32 +963,33 @@
 gressionWithSGD%0A
+#
 from pyspark.mll
@@ -1086,16 +1086,17 @@
 WithSGD%0A
+#
 from pys
@@ -1158,16 +1158,17 @@
 el, ALS%0A
+#
 from pys
@@ -1216,18 +1216,21 @@
  KMeans%0A
-%0A%0A
+#%0A#%0A#
 __all__ 

Fix copypasta in __init__.py. Don't import anything directly into pyspark.mllib.