6b9737a830
The wrapper required the implementation of the `ArrayParam`, because `Array[T]` is hard to obtain from Python. `ArrayParam` has an extra function called `wCast` which is an internal function to obtain `Array[T]` from `Seq[T]`
Author: Burak Yavuz <brkyvz@gmail.com>
Author: Xiangrui Meng <meng@databricks.com>
Closes #5930 from brkyvz/ml-feat and squashes the following commits:
73e745f [Burak Yavuz] Merge pull request #3 from mengxr/SPARK-7388
c221db9 [Xiangrui Meng] overload StringArrayParam.w
c81072d [Burak Yavuz] addressed comments
99c2ebf [Burak Yavuz] add to python_shared_params
39ecb07 [Burak Yavuz] fix scalastyle
7f7ea2a [Burak Yavuz] [SPARK-7388][SPARK-7383] wrapper for VectorAssembler in Python
(cherry picked from commit 9e2ffb1328)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
105 lines
3.9 KiB
Python
105 lines
3.9 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from __future__ import print_function
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header = """#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#"""
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# Code generator for shared params (shared.py). Run under this folder with:
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# python _shared_params_code_gen.py > shared.py
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def _gen_param_code(name, doc, defaultValueStr):
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"""
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Generates Python code for a shared param class.
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:param name: param name
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:param doc: param doc
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:param defaultValueStr: string representation of the default value
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:return: code string
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"""
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# TODO: How to correctly inherit instance attributes?
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template = '''class Has$Name(Params):
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"""
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Mixin for param $name: $doc.
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"""
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# a placeholder to make it appear in the generated doc
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$name = Param(Params._dummy(), "$name", "$doc")
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def __init__(self):
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super(Has$Name, self).__init__()
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#: param for $doc
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self.$name = Param(self, "$name", "$doc")
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if $defaultValueStr is not None:
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self._setDefault($name=$defaultValueStr)
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def set$Name(self, value):
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"""
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Sets the value of :py:attr:`$name`.
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"""
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self.paramMap[self.$name] = value
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return self
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def get$Name(self):
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"""
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Gets the value of $name or its default value.
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"""
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return self.getOrDefault(self.$name)'''
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Name = name[0].upper() + name[1:]
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return template \
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.replace("$name", name) \
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.replace("$Name", Name) \
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.replace("$doc", doc) \
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.replace("$defaultValueStr", str(defaultValueStr))
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if __name__ == "__main__":
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print(header)
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print("\n# DO NOT MODIFY THIS FILE! It was generated by _shared_params_code_gen.py.\n")
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print("from pyspark.ml.param import Param, Params\n\n")
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shared = [
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("maxIter", "max number of iterations", None),
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("regParam", "regularization constant", None),
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("featuresCol", "features column name", "'features'"),
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("labelCol", "label column name", "'label'"),
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("predictionCol", "prediction column name", "'prediction'"),
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("rawPredictionCol", "raw prediction column name", "'rawPrediction'"),
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("inputCol", "input column name", None),
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("inputCols", "input column names", None),
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("outputCol", "output column name", None),
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("numFeatures", "number of features", None)]
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code = []
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for name, doc, defaultValueStr in shared:
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code.append(_gen_param_code(name, doc, defaultValueStr))
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print("\n\n\n".join(code))
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