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#
# 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"]
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