GitHub user sethah opened a pull request:
https://github.com/apache/spark/pull/10962
[SPARK-13047][PYSPARK][ML] Pyspark Params.hasParam should not throw an error
Pyspark Params class has a method `hasParam(paramName)` which returns
`True` if the class has a parameter by that name, but throws an
`AttributeError` otherwise. There is not currently a way of getting a Boolean
to indicate if a class has a parameter. With Spark 2.0 we could modify the
existing behavior of `hasParam` or add an additional method with this
functionality.
In Python:
```python
from pyspark.ml.classification import NaiveBayes
nb = NaiveBayes(smoothing=0.5)
print nb.hasParam("smoothing")
print nb.hasParam("notAParam")
```
produces:
> True
> AttributeError: 'NaiveBayes' object has no attribute 'notAParam'
However, in Scala:
```scala
import org.apache.spark.ml.classification.NaiveBayes
val nb = new NaiveBayes()
nb.hasParam("smoothing")
nb.hasParam("notAParam")
```
produces:
> true
> false
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sethah/spark SPARK-13047
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/10962.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #10962
----
commit d52b1de1adefedb6938130d0530ea46fdb3f64f7
Author: sethah <[email protected]>
Date: 2016-01-27T23:55:04Z
hasParam returns False instead of throwing an error
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