Python API coverage check found issues for ML during 1.6 QA

Here is the todo list of SPARK-11604 found issues:
Note: I did not list the SparkR related features (such as ml.feature.Interaction). We have supported RFormula as a wrapper at Python side, I think we should discuss the necessary to support other R related features at Python side.

• Missing classes
  • ml.attribute SPARK-8516
  • ml.feature
    • QuantileDiscretizer SPARK-11922
    • ChiSqSelector SPARK-11923
  • ml.classification
    • OneVsRest SPARK-7861
  • ml.clustering
    • LDA SPARK-11940
  • mllib.clustering
    • BisectingKMeans SPARK-11944

• Missing methods/parameters SPARK-11938
  • ml.classification SPARK-11815 SPARK-11820
  • ml.feature SPARK-11925
  • ml.clustering SPARK-11945
  • mllib.linalg SPARK-12040 SPARK-12041
  • mllib.stat.test.StreamingTest SPARK-12042

• Docs:
  • ml.classification SPARK-11875