Frank McQuillan created MADLIB-1086:
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Summary: Unnest 2-D array by one level (i.e. into rows of 1-D
arrays)
Key: MADLIB-1086
URL: https://issues.apache.org/jira/browse/MADLIB-1086
Project: Apache MADlib
Issue Type: New Feature
Components: Module: Utilities
Reporter: Frank McQuillan
Fix For: v1.11
Context
Currently k-means returns the following
{code}
centroids |
{{13.7533333333333,1.905,2.425,16.0666666666667,90.3333333333333,2.805,2.98,0.29,2.005,5.40663333333333,1.04166666666667,
3.31833333333333,1020.83333333333},
{14.255,1.9325,2.5025,16.05,110.5,3.055,2.9775,0.2975,1.845,6.2125,0.9975,3.365,1378.75}}
cluster_variance | {122999.110416013,30561.74805}
objective_fn | 153560.858466013
frac_reassigned | 0
num_iterations | 3
{code}
Story
As a data scientist, I want to unnest 2-D array by one level (i.e. into rows of
1-D arrays) in K-means, so that I can get one centroid per row for follow on
operations.
Acceptance
1) Add function to array operations
http://madlib.incubator.apache.org/docs/latest/group__grp__array.html
2) Add an example in k-means
http://madlib.incubator.apache.org/docs/latest/group__grp__kmeans.html
to demonstrate usage
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