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| author | Xiangrui Meng <meng@databricks.com> | 2015-05-08 11:16:04 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2015-05-08 11:16:04 -0700 |
| commit | 65afd3ce8b8a0b00f4ea8294eac14b72e964872d (patch) | |
| tree | d0d210b436b9f0bb9a0c9eff382bc9c077224a42 /python | |
| parent | f5ff4a84c4c75143086aae7d38730156bee35933 (diff) | |
| download | spark-65afd3ce8b8a0b00f4ea8294eac14b72e964872d.tar.gz spark-65afd3ce8b8a0b00f4ea8294eac14b72e964872d.tar.bz2 spark-65afd3ce8b8a0b00f4ea8294eac14b72e964872d.zip | |
[SPARK-7474] [MLLIB] update ParamGridBuilder doctest
Multiline commands are properly handled in this PR. oefirouz
Author: Xiangrui Meng <meng@databricks.com>
Closes #6001 from mengxr/SPARK-7474 and squashes the following commits:
b94b11d [Xiangrui Meng] update ParamGridBuilder doctest
Diffstat (limited to 'python')
| -rw-r--r-- | python/pyspark/ml/tuning.py | 28 |
1 files changed, 13 insertions, 15 deletions
diff --git a/python/pyspark/ml/tuning.py b/python/pyspark/ml/tuning.py index 1e04c37fca..28e3727f2c 100644 --- a/python/pyspark/ml/tuning.py +++ b/python/pyspark/ml/tuning.py @@ -27,24 +27,22 @@ __all__ = ['ParamGridBuilder', 'CrossValidator', 'CrossValidatorModel'] class ParamGridBuilder(object): - """ + r""" Builder for a param grid used in grid search-based model selection. - >>> from classification import LogisticRegression + >>> from pyspark.ml.classification import LogisticRegression >>> lr = LogisticRegression() - >>> output = ParamGridBuilder().baseOn({lr.labelCol: 'l'}) \ - .baseOn([lr.predictionCol, 'p']) \ - .addGrid(lr.regParam, [1.0, 2.0, 3.0]) \ - .addGrid(lr.maxIter, [1, 5]) \ - .addGrid(lr.featuresCol, ['f']) \ - .build() - >>> expected = [ \ -{lr.regParam: 1.0, lr.featuresCol: 'f', lr.maxIter: 1, lr.labelCol: 'l', lr.predictionCol: 'p'}, \ -{lr.regParam: 2.0, lr.featuresCol: 'f', lr.maxIter: 1, lr.labelCol: 'l', lr.predictionCol: 'p'}, \ -{lr.regParam: 3.0, lr.featuresCol: 'f', lr.maxIter: 1, lr.labelCol: 'l', lr.predictionCol: 'p'}, \ -{lr.regParam: 1.0, lr.featuresCol: 'f', lr.maxIter: 5, lr.labelCol: 'l', lr.predictionCol: 'p'}, \ -{lr.regParam: 2.0, lr.featuresCol: 'f', lr.maxIter: 5, lr.labelCol: 'l', lr.predictionCol: 'p'}, \ -{lr.regParam: 3.0, lr.featuresCol: 'f', lr.maxIter: 5, lr.labelCol: 'l', lr.predictionCol: 'p'}] + >>> output = ParamGridBuilder() \ + ... .baseOn({lr.labelCol: 'l'}) \ + ... .baseOn([lr.predictionCol, 'p']) \ + ... .addGrid(lr.regParam, [1.0, 2.0]) \ + ... .addGrid(lr.maxIter, [1, 5]) \ + ... .build() + >>> expected = [ + ... {lr.regParam: 1.0, lr.maxIter: 1, lr.labelCol: 'l', lr.predictionCol: 'p'}, + ... {lr.regParam: 2.0, lr.maxIter: 1, lr.labelCol: 'l', lr.predictionCol: 'p'}, + ... {lr.regParam: 1.0, lr.maxIter: 5, lr.labelCol: 'l', lr.predictionCol: 'p'}, + ... {lr.regParam: 2.0, lr.maxIter: 5, lr.labelCol: 'l', lr.predictionCol: 'p'}] >>> len(output) == len(expected) True >>> all([m in expected for m in output]) |