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Added a drop_off_cliff timeseries and examples of the analysis of the timeseries using the standard crucible (skyline) algorithms to determine their effectiveness in detecting a drop off cliff event in a high rate timeseries. Added example image of the results from an experimental detect_drop_off_cliff algorithm Added: LICENSE data/detect_drop_off_cliff.ts.json examples/detect_drop_off_cliff/detect_drop_off_cliff.ts.json examples/detect_drop_off_cliff/detect_drop_off_cliff.detect_drop_off_cliff.ts.json.png examples/detect_drop_off_cliff/detect_drop_off_cliff.ts.json.png examples/detect_drop_off_cliff/first_hour_average.detect_drop_off_cliff.ts.json.png examples/detect_drop_off_cliff/grubbs.detect_drop_off_cliff.ts.json.png examples/detect_drop_off_cliff/histogram_bins.detect_drop_off_cliff.ts.json.png examples/detect_drop_off_cliff/ks_test.detect_drop_off_cliff.ts.json.png examples/detect_drop_off_cliff/least_squares.detect_drop_off_cliff.ts.json.png examples/detect_drop_off_cliff/mean_subtraction_cumulation.detect_drop_off_cliff.ts.json.png examples/detect_drop_off_cliff/median_absolute_deviation.detect_drop_off_cliff.ts.json.png examples/detect_drop_off_cliff/readme.md examples/detect_drop_off_cliff/stddev_from_average.detect_drop_off_cliff.ts.json.png examples/detect_drop_off_cliff/stddev_from_moving_average.detect_drop_off_cliff.ts.json.png
Restored original .gitignore and clarified the readme.md Modified: .gitignore examples/detect_drop_off_cliff/readme.md
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This is a real world timeseries that experiences a drop of cliff pattern that the standard crucible (skyline) algorithms do not detect.
There is full info in the examples/detect_drop_off_cliff directory relating to the resultant crucible images from each algorithm, along with the original json data set too. Further to this there is output from a new experimental
detect_drop_off_cliffalogrithm, however only the canonical timeseries and info are in this pull request.