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Issue 334050043: machine learning tool (svm knn)

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Created:
1 week, 3 days ago by wissemchouk
Modified:
1 week, 1 day ago
Reviewers:
liulee.chn, tsumak.dmitri, cuteliaoliao, Jiangfeng
CC:
dkostic, w.fakher.reda
Visibility:
Public.

Description

machine learning tool (svm knn) BUG=

Patch Set 1 #

Total comments: 2

Patch Set 2 : svm&knn #

Unified diffs Side-by-side diffs Delta from patch set Stats (+114 lines, -0 lines) Patch
A MLtool/data/sort_rank.csv View 1 chunk +73 lines, -0 lines 0 comments Download
A MLtool/scripts/knn.py View 1 chunk +21 lines, -0 lines 0 comments Download
A MLtool/scripts/svm.py View 1 chunk +20 lines, -0 lines 0 comments Download

Messages

Total messages: 7
Tsumak.Dmitri
https://codereview.appspot.com/334050043/diff/1/MLtool/data/.idea/data.iml File MLtool/data/.idea/data.iml (right): https://codereview.appspot.com/334050043/diff/1/MLtool/data/.idea/data.iml#newcode3 MLtool/data/.idea/data.iml:3: <component name="NewModuleRootManager"> Please remove .idea folder. https://codereview.appspot.com/334050043/diff/1/MLtool/data/sort_rank.csv File MLtool/data/sort_rank.csv ...
1 week, 1 day ago (2017-11-13 19:02:24 UTC) #1
wissemchouk
On 2017/11/13 19:02:24, Tsumak.Dmitri wrote: > https://codereview.appspot.com/334050043/diff/1/MLtool/data/.idea/data.iml > File MLtool/data/.idea/data.iml (right): > > https://codereview.appspot.com/334050043/diff/1/MLtool/data/.idea/data.iml#newcode3 > ...
1 week, 1 day ago (2017-11-13 19:05:38 UTC) #2
liulee.chn
Using kernal RBF can have a better result
1 week, 1 day ago (2017-11-14 08:56:04 UTC) #3
liulee.chn
Results from phase 2, but still need more data or more accurate data
1 week, 1 day ago (2017-11-14 08:56:52 UTC) #4
wissemchouk
On 2017/11/14 08:56:04, liulee.chn wrote: > Using kernal RBF can have a better result Yes ...
1 week, 1 day ago (2017-11-14 11:04:56 UTC) #5
wissemchouk
On 2017/11/14 11:04:56, wissemchouk wrote: > On 2017/11/14 08:56:04, liulee.chn wrote: > > Using kernal ...
1 week, 1 day ago (2017-11-14 11:05:49 UTC) #6
wissemchouk
1 week, 1 day ago (2017-11-14 11:25:19 UTC) #7
On 2017/11/14 08:56:04, liulee.chn wrote:
> Using kernal RBF can have a better result

Even though, I'm not sure it's going to be better because RBF basically
approximates the result based on the sum of functions which means we need a huge
amount of data . It could work if we have a small input space but as the
workload may vary a lot, I am afraid it's not going to be very accurate but
let's see
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