[ 
https://issues.apache.org/jira/browse/DATAFU-60?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14108012#comment-14108012
 ] 

Matthew Hayes edited comment on DATAFU-60 at 8/23/14 2:25 PM:
--------------------------------------------------------------

Tried running TestRange tests and I saw a failure:

{code}
PASSED: testFloatingBuckets
PASSED: testIntegerBuckets
PASSED: testMalformedBuckets1
PASSED: testMalformedBuckets2
PASSED: testNegInfinity
PASSED: testScientificBuckets
FAILED: testInfinity
{code}

The problem is 0 is supposed to be in the range:

{code}
  @Test
  public void testInfinity()
  {
    NumericalRange range = NumericalRange.fromRangeString("[0,*)");
    assertEquals(range.isInRange(0), false);
    assertEquals(range.isInRange(1e10), true);
  }
{code}


was (Author: matterhayes):
Tried running TestRange tests and I saw a failure:

{code}
PASSED: testFloatingBuckets
PASSED: testIntegerBuckets
PASSED: testMalformedBuckets1
PASSED: testMalformedBuckets2
PASSED: testNegInfinity
PASSED: testScientificBuckets
FAILED: testInfinity
{code}

> Support NDCG calculation within a UDF
> -------------------------------------
>
>                 Key: DATAFU-60
>                 URL: https://issues.apache.org/jira/browse/DATAFU-60
>             Project: DataFu
>          Issue Type: New Feature
>            Reporter: Joshua Hartman
>              Labels: features
>         Attachments: DATAFU-60-v2.patch, DATAFU-60.patch
>
>   Original Estimate: 48h
>  Remaining Estimate: 48h
>
> Ndcg is a common evaluation metric for the quality of a list of items 
> presented to a user. It is an especially common metric used in the search 
> literature.
> This feature request is to implement a udf to calculate ndcg. 
> NDCG can be calculated using any function to represent the value of a 
> position. Several useful functions should be available as part of the datafu 
> library. First is the standard 1/logarithmic discounting factor. Another 
> option should be the ability to supply a custom positional value for any 
> range of positions in the case that a positional "value" is already well 
> understood. However, the actual discounting function used should be easily 
> pluggable in the event something custom is needed



--
This message was sent by Atlassian JIRA
(v6.2#6252)

Reply via email to