#
# 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.
#

"""
An example for ANOVASelector.
Run with:
  bin/spark-submit examples/src/main/python/ml/anova_selector_example.py
"""
from pyspark.sql import SparkSession
# $example on$
from pyspark.ml.feature import ANOVASelector
from pyspark.ml.linalg import Vectors
# $example off$

if __name__ == "__main__":
    spark = SparkSession\
        .builder\
        .appName("ANOVASelectorExample")\
        .getOrCreate()

    # $example on$
    df = spark.createDataFrame([
        (1, Vectors.dense([1.7, 4.4, 7.6, 5.8, 9.6, 2.3]), 3.0,),
        (2, Vectors.dense([8.8, 7.3, 5.7, 7.3, 2.2, 4.1]), 2.0,),
        (3, Vectors.dense([1.2, 9.5, 2.5, 3.1, 8.7, 2.5]), 3.0,),
        (4, Vectors.dense([3.7, 9.2, 6.1, 4.1, 7.5, 3.8]), 2.0,),
        (5, Vectors.dense([8.9, 5.2, 7.8, 8.3, 5.2, 3.0]), 4.0,),
        (6, Vectors.dense([7.9, 8.5, 9.2, 4.0, 9.4, 2.1]), 4.0,)], ["id", "features", "label"])

    selector = ANOVASelector(numTopFeatures=1, featuresCol="features",
                             outputCol="selectedFeatures", labelCol="label")

    result = selector.fit(df).transform(df)

    print("ANOVASelector output with top %d features selected" % selector.getNumTopFeatures())
    result.show()
    # $example off$

    spark.stop()

#
# 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.
#

"""
An example for ANOVASelector.
Run with:
  bin/spark-submit examples/src/main/python/ml/anova_selector_example.py
"""
from pyspark.sql import SparkSession
# $example on$
from pyspark.ml.feature import ANOVASelector
from pyspark.ml.linalg import Vectors
# $example off$

if __name__ == "__main__":
    spark = SparkSession\
        .builder\
        .appName("ANOVASelectorExample")\
        .getOrCreate()

    # $example on$
    df = spark.createDataFrame([
        (1, Vectors.dense([1.7, 4.4, 7.6, 5.8, 9.6, 2.3]), 3.0,),
        (2, Vectors.dense([8.8, 7.3, 5.7, 7.3, 2.2, 4.1]), 2.0,),
        (3, Vectors.dense([1.2, 9.5, 2.5, 3.1, 8.7, 2.5]), 3.0,),
        (4, Vectors.dense([3.7, 9.2, 6.1, 4.1, 7.5, 3.8]), 2.0,),
        (5, Vectors.dense([8.9, 5.2, 7.8, 8.3, 5.2, 3.0]), 4.0,),
        (6, Vectors.dense([7.9, 8.5, 9.2, 4.0, 9.4, 2.1]), 4.0,)], ["id", "features", "label"])

    selector = ANOVASelector(numTopFeatures=1, featuresCol="features",
                             outputCol="selectedFeatures", labelCol="label")

    result = selector.fit(df).transform(df)

    print("ANOVASelector output with top %d features selected" % selector.getNumTopFeatures())
    result.show()
    # $example off$

    spark.stop()

# # 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. # An example for ANOVASelector. Run with:   bin/spark-submit examples/src/main/python/ml/anova_selector_example.py # $example on$ # $example off$ # $example on$ # $example off$