Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

AnomalyDetector parameter typo corrected #55

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

AnomalyDetector parameter typo corrected #55

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -112,7 +112,7 @@ __init__(self, time_series, baseline_time_series=None, score_only=False, score_t
* `baseline_time_series`: an optional baseline time series of one the types mentioned above.
* `score only(bool)`: if asserted, anomaly scores for the time series will be available, while anomaly periods will not be identified.
* `score_threshold`: if passed, anomaly scores above this value will be identified as anomaly. It can override score_percentile_threshold.
* `score_precentile_threshold`: if passed, anomaly scores above this percentile will be identified as anomaly. It can not override score_threshold.
* `score_percentile_threshold`: if passed, anomaly scores above this percentile will be identified as anomaly. It can not override score_threshold.
* `algorithm_name(string)`: if passed, the specific algorithm will be used to compute anomaly scores.
* `algorithm_params(dict)`: additional parameters for algorithm specified by algorithm_name.
* `refine_algorithm_name(string)`: if passed, the specific algorithm will be used to compute the time stamp of severity within each anomaly period.
Expand Down