[jira] [Created] (MADLIB-1451) DL: Improve output of predict

["Frank McQuillan (Jira)" <ji...@apache.org>]

Frank McQuillan created MADLIB-1451:
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             Summary: DL: Improve output of predict
                 Key: MADLIB-1451
                 URL: https://issues.apache.org/jira/browse/MADLIB-1451
             Project: Apache MADlib
          Issue Type: Improvement
          Components: Deep Learning
            Reporter: Frank McQuillan
             Fix For: v1.18.0


**Story**

Applies to 
https://madlib.apache.org/docs/latest/group__grp__keras__run__model__selection.html#keras_predict
&
https://madlib.apache.org/docs/latest/group__grp__keras.html#keras_predict
& 
https://madlib.apache.org/docs/latest/group__grp__keras.html#keras_predict_byom

Idea:
Only want to run predict once and operate on the output table.  You should not have to run predict over again to get a different format (e.g, top 1 vs. top 5), which would be inefficient.  To do this we change the meaning of the param `pred_type` :
{code}
pred_type (optional)
TEXT, default: 'all'. Type of output desired, where 'all' gives predictions for all classes and their associated 
probabilities.  Alternatively, you can specify a filter for top n or minimum probability.  For top n, use 
an INTEGER > 0 to indicate the top ranked probabilities to output.  For minimum probability, specify 
a REAL value between 0.0 and 1.0 for the cutoff.
{code}

table output format
{code}
id 	| 	class 			| probability 	|	rank
----+-------------------+---------------+----------
2	|	Iris-setosa 	| 0.8704131		| 1
2	|	Iris-versicolor | 0.09302262	| 2
2	|	Iris-virginica  | 0.036564212	| 3
9	|	Iris-virginica 	| 0.7704131		| 1
9	|	Iris-versicolor | 0.19302262	| 2
9	|	Iris-setosa     | 0.136564212	| 3
etc.
{code}

**Open questions**

1) Will the above work OK with predict BYOM?



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