Steve L. Nyemba
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14bfd8ce3f
|
Improved transport with flush, archive functions. Put Regression on hold
|
9 years ago |
|
Steve L. Nyemba
|
81bd6bd658
|
ui improvement and learning improvement
|
9 years ago |
 Steve L. Nyemba
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c298bde870
|
ML bug fix, @TODO: apply regression on folders and have report generated
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9 years ago |
|
Steve L. Nyemba
|
1e531c07b5
|
bug fix for several files and context for ui
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9 years ago |
|
Steve L. Nyemba
|
b3f3d38ef9
|
ui for forlder monitoring
|
9 years ago |
|
Steve L. Nyemba
|
7e01d4a47d
|
Bug fixes with folder monitoring
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9 years ago |
|
Steve L. Nyemba
|
2c0905091b
|
analysis of anomalies @TODO: road test
|
9 years ago |
|
Steve L. Nyemba
|
8c47d28c44
|
@TODO: compute slope
|
9 years ago |
|
Steve L. Nyemba
|
0afbb1c072
|
Enabling preconditions to be effective (variance) @TODO: dimensionality reduction
|
9 years ago |
|
Steve L. Nyemba
|
4184d0bdc7
|
bug fix around filter/extract @TODO: Work on overfitting
|
9 years ago |
|
Steve L. Nyemba
|
3f8f975528
|
bug fixes
|
9 years ago |
|
Steve L. Nyemba
|
cbed6dbb70
|
refactoring learning and enabling learning api
|
9 years ago |
|
Steve L. Nyemba
|
d6e1b27b9d
|
Operationalizing the learner
|
9 years ago |
|
Steve L. Nyemba
|
cbef913877
|
fixing learning bugs on integration
|
9 years ago |
|
Steve L. Nyemba
|
54744253ca
|
Bug fix with learner, @TODO: Determine epsilon i.e the right one to get good f-score
|
9 years ago |
|
Steve L. Nyemba
|
b0cd031b07
|
process engines and learners @TODO: Bootup & revisit detailprocess class
|
9 years ago |
|
Steve L. Nyemba
|
f3d9e03b95
|
learner testing
|
9 years ago |
|
Steve L. Nyemba
|
9bb3a746b2
|
ml implementation
|
9 years ago |
|
Steve L. Nyemba
|
886a9e1d76
|
finished up anomaly detection, with precision/recall @TODO: testinggit stage ../src/utils/ml.py demo.py
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9 years ago |
|
Steve L. Nyemba
|
de47356a62
|
machine learning wrapping
|
9 years ago |
