e0cc56d425
Not-ending learning #264 ( #484 )
...
- optimize general model
- add logs
5 years ago
81c3d79238
Change the pattern filtering logic #366 ( #423 )
5 years ago
13305336b7
Change the pattern filtering logic #366 ( #422 )
5 years ago
7ab0db6ba9
Update state during learning #406 ( #408 )
5 years ago
6d5ec2b6fe
Webhooks don't find any patterns #401 ( #404 )
5 years ago
963eaa6276
Remove duplicate code from models #390 ( #391 )
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just refactoring
5 years ago
6e7073b212
Increase the number of parameters obtained during learning #364 ( #383 )
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Increase the number of parameters obtained during learning #364
5 years ago
d399d0b84a
Remove duplicates from models #357 ( #363 )
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refactoring
5 years ago
99c9431f5d
IndexError: list index out of range if segment has NaN #242 ( #349 )
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add threshold in model
5 years ago
5ab3ff64dd
Move data cropping to the models #335 ( #336 )
5 years ago
5edc0b1977
Error name parse segment is not defined #315 ( #322 )
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Fixed: Error name parse segment is not defined #315
6 years ago
0689fe6384
WIP:Clean up utils #282 ( #293 )
6 years ago
c02be4cbfc
Rename predict to detect #279 ( #284 )
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* dummy rename
* fixes
* renaming in analytics
6 years ago
Coin de Gamma
b65f1a552c
trim trailing whitespaces
6 years ago
d389cf3adb
Move repeating code from models to utils #270 ( #272 )
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peak / trough / jump / drop / general common code to and utils refactoring
6 years ago
7ad0e5360f
Incorrect work of analytics with nan filled dataset #247 ( #248 )
6 years ago
rozetko
9986642659
Fix #231 : .count(np.NaN) -> .isnull().sum()
6 years ago
8614499c20
Proccesing for NaN values #231 ( #236 )
6 years ago
005097dde0
Analytics project structure improvement #215 ( #228 )
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* bin & analytics folders
* sys path & config relocation
* fix analytics path in node
6 years ago
dd139e1feb
Models with filtering#186 ( #218 )
6 years ago
4912026113
Fix models for choosing the "wrong" patterns #195 ( #202 )
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* jump and drop not crash
* fix logiс of try/except block in drops
left one block
* fix logic of try/except in jump
left one block
6 years ago
b79abf5299
Anti-segments in general model #142 ( #185 )
6 years ago
4824b22df8
Anti-segments in peaks model #142 ( #170 )
6 years ago
169c341189
add aggr model to peak models ( #162 )
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* add aggr model to peak models
change convolve with first pattern.
now it is avarage model instead of only first pattern.
* common model for peaks with comments
6 years ago
12c52f5ce9
Consider segment width in models #136 ( #141 )
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* fit -> do_fit in all models && add self.segment_length
* Move converting indices to timestamps to Model class
* add flexible win size to all models
6 years ago
rozetko
d1ca327b0d
Improve all models
6 years ago
rozetko
48999a934d
Fix timestamps return in all models (convert from ns to ms)
6 years ago
rozetko
9f1b2397d0
Convert timestamps from s to ms
6 years ago
rozetko
2cd685114e
Minor fixes
6 years ago
rozetko
8bd52b64f7
Check for segment length in all models ( #127 )
6 years ago
rozetko
c2c3925979
Make all models work && add reverse peak model ( #124 )
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- Subtract min value from dataset before passing to model
- Rename StepModel -> DropModel
- Use cache to save state in all models
- Return `Segment { 'from': <timestamp>, 'to': <timestamp>}` instead of `Segment { 'from': <index>, 'to': <index>}` in all models
- Integrate new peaks model (from https://github.com/hastic/hastic-server/pull/123 )
- Integrate new reverse-peaks model (from https://github.com/hastic/hastic-server/pull/123 )
- Refactor: make `predict` method in `Model` not abstract and remove it from all children
- Refactor: add abstract `do_predict` method to models
6 years ago
Alexandr Velikiy
Coin de Gamma
rozetko