Github user keypointt commented on a diff in the pull request:
https://github.com/apache/spark/pull/17451#discussion_r125339579
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala
---
@@ -274,6 +274,29 @@ class Word2VecModel private[ml] (
wordVectors.findSynonyms(word, num)
}
+ /**
--- End diff --
Hi Holden, I tried to call original `findSynonymsArray()` in scala from
python side
```
>>> from pyspark.ml.feature import Word2Vec
>>> sent = ("a b " * 100 + "a c " * 10).split(" ")
>>> df = spark.createDataFrame([(sent,), (sent,)], ["sentence"])
>>> word2Vec = Word2Vec(vectorSize=5, seed=42, inputCol="sentence",
outputCol="model")
>>> model = word2Vec.fit(df)
>>> a = model.findSynonymsArray("a", 2)
```
and python getting a returned list of dict as below, and `_1()` and `_2()`
cannot get actual data, just getting a string `u'scala.Tuple2'`, as shown
below.
Maybe I'm missing something here? could you please help on how to get data
here? thanks a lot
```
>>> a
[{u'__class__': u'scala.Tuple2'}, {u'__class__': u'scala.Tuple2'}]
>>> len(a)
2
>>> a[0]
{u'__class__': u'scala.Tuple2'}
>>> for e in a[0]:
... print ''.join(a[0][e])
...
scala.Tuple2
>>> for e in a[0]:
... print a[0][e]._1()
...
Traceback (most recent call last):
File "<stdin>", line 2, in <module>
AttributeError: 'unicode' object has no attribute '_1'
>>> for e in a[0]:
... print a[0][e]._2()
...
Traceback (most recent call last):
File "<stdin>", line 2, in <module>
AttributeError: 'unicode' object has no attribute '_2'
```
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