b53b49dcf7
Refactoring of Jump and Drop models ( #865 )
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* add stair model
* add stair model method
* add types
* fix
* add tests for get stair
* fix
* fix imports
* add todo
* fixes
* get stair indexes to stair model
* fixes
* remove old methods
* use enum
* fix get_model_type
* remove exception
* list(set) -> utils.remove_duplicates
* refactor get_stair
* fixes
* fixes 2
* fixes 3
* todo
4 years ago
f98ac05ad8
Rename modules and types ( #860 )
4 years ago
96db3bdef8
Error: too many values to unpack #721 ( #725 )
5 years ago
5374c45b36
Segment info #693 ( #700 )
5 years ago
c1fc44ea10
Anomaly detector: last NaN value #677
5 years ago
801f5b1c57
Change mutable default values to none #638 ( #682 )
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* add types, remove mutables from defaults
* fix debug logging
5 years ago
ae06749b8d
Refactoring of Peak and Trough models #424 ( #680 )
5 years ago
0fa4268d57
Anomaly detector webhooks fix ( #670 )
5 years ago
564ded152f
Merge threshold segments #624 ( #646 )
5 years ago
rozetko
930a270a97
Dataframe has no appropriate timestamp -> Dataframe doesn`t contain timestamp
5 years ago
6b398d6ee9
Segment class #636 ( #637 )
5 years ago
74d45bf4f4
Segment intersection in anomaly detector #615 ( #616 )
5 years ago
cb040b397b
Exponential smoothing for anomaly detector #610 ( #611 )
5 years ago
rozetko
15ba69dd6e
ValueError: array must not contain infs or NaNs #563 ( #585 )
5 years ago
0f1d7774fe
Find start and end of peaks and troughs #506 ( #507 )
5 years ago
e0cc56d425
Not-ending learning #264 ( #484 )
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- optimize general model
- add logs
5 years ago
1bd4fb87f9
TypeError: ufunc 'isnan' not supported for the input types #447 ( #448 )
5 years ago
87187dccd0
ValueError: operands could not be broadcast together with shapes #425 ( #427 )
5 years ago
22fe2cf6b7
Drops pattern ValueError: All elements of patterns_list should have same length #414 ( #418 )
5 years ago
7ab0db6ba9
Update state during learning #406 ( #408 )
5 years ago
rozetko
aa943595fc
Wrong time in threshold segments #403 ( #405 )
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* Add convert_pd_timestamp_to_ms function to utils
* Use datapoint time in segment if it is available
5 years ago
7c52f4966d
Error: max() arg is an empty sequence #352 ( #394 )
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fix Error: max() arg is an empty sequence #352
5 years ago
rozetko
390fa4c037
No data threshold #370 ( #396 )
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"No data" threshold support
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
5ab3ff64dd
Move data cropping to the models #335 ( #336 )
5 years ago
cbbc8c6cdd
Error: ValueError - dataset input should have multiple elements #325 ( #327 )
5 years ago
0689fe6384
WIP:Clean up utils #282 ( #293 )
6 years ago
6641a5e52c
The center of drop and jump patterns is shifted from real value #291 ( #292 )
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* fix centers in jumps and drops
* coeff
* add simple docstring
* fix utils
* fix spaces
* fix names
6 years ago
3cad93ca62
Add some sort of verification of incoming and outgoing data in analytics #227 ( #281 )
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* fix find_confidence
* fix get_interval
* fix subtract_min_without_nan
* fix substract and get_convolve
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
309704997b
IndexError: list index out of range in close_filtering #240 ( #243 )
6 years ago
5d76c9efac
IndexError: list index out of range in get_av_model #239 ( #241 )
6 years ago
8614499c20
Proccesing for NaN values #231 ( #236 )
6 years ago
0d921aafb2
Incorrect work of models with single patterns #234 ( #235 )
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add first value of patterns list = val[0] instead 0
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
9f96b99a37
fix conflict
6 years ago
dd139e1feb
Models with filtering#186 ( #218 )
6 years ago
43b027e470
Unit testing for analytics project #216 ( #223 )
6 years ago
2782955572
Analytics works with one labeled segment#191/212 ( #217 )
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* Analytics works with one labeled segment
if/else instead of exception
6 years ago
f158c5050b
aggr model ( #161 )
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* aggr model
new defs for aggregate model
* Update utils
raise exception
6 years ago
rozetko
d1ca327b0d
Improve all models
6 years ago
65585939ae
minor drop and jump models improvements ( #131 )
6 years ago
rozetko
942c4ca112
general predictor -> general model ( #130 )
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
rozetko
9b3a68d4cd
Make drops work ( #121 )
6 years ago
6f9f53cb1b
WIP: Jump and drop v1 ( #119 )
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* new jump model with height
* antipeak
* universal n/w jumps
* jump and drop models
* rm unneeded lines and trailing spaces
6 years ago
rozetko
6420f16c3d
Fix learning ( #116 )
6 years ago
Alexander Velikiy
rozetko
Coin de Gamma