Advitya17 edited a comment on pull request #518:
URL: https://github.com/apache/madlib/pull/518#issuecomment-707399640
> mst_key | metrics_elapsed_time
> ---------+------------------------------------------------------
> 1 | {627.882262945175,1264.80915999413,1896.74943590164}
> 2 | {614.573877811432,1251.1022670269,1883.14707994461}
> 3 | {638.407788038254,1286.73397421837,1939.58357810974}
> 4 | {624.925609111786,1273.55782914162,1925.82674407959}
> 5 | {650.984225034714,1307.78145503998,1962.8148560524}
> 6 | {637.914520978928,1294.23532605171,1949.12843108177}
> 7 | {651.188719987869,1301.32990193367,1948.88206887245}
> 8 | {637.525157928467,1288.19901585579,1935.65923500061}
> 9 | {651.277820110321,1301.09531402588,1947.13559818268}
> 10 | {637.898158073425,1287.54387116432,1933.5972070694}
> 11 | {650.482151985168,1309.5760037899,1961.18471598625}
> 12 | {637.149097919464,1295.67461585999,1947.66235399246}
> 13 | {651.543440818787,1299.3868060112,1948.78301692009}
> 14 | {638.292811870575,1285.66767001152,1935.02927088737}
> 15 | {650.077238082886,1305.37611913681,1962.8950419426}
> 16 | {636.498329162598,1291.3173930645,1948.41972708702}
> 17 | {649.946799993515,1303.33863401413,1949.58992981911}
> 18 | {636.373380899429,1289.27607584,1936.36742186546}
> 19 | {647.414880990982,1297.31931090355,1945.65248298645}
> 20 | {634.09289598465,1284.170140028,1932.07456684113}
It may be possible to do the following to get the graph:
1. Have a 'time offset' like variable (initially set to zero)
2. Time the individual fit multiple function calls (in seconds I presume)
(for adding the recorded times to the offset variable each time).
3. After a run of fit multiple, write an update like query to update
`metrics_elapsed_time` by adding the total offset to every element of the array
value (for the first run, an offset of 0 would be added, i.e. no offset) for
the model configs trained in that round (this may be determined by the
`mst_key` ranges).
4. Update the offset variable by incrementing it by the recorded time for
the most recent loop run (i.e. fit multiple function call).
Let me know if anything doesn't seem clear.
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