From 747744a94e8f2c8fff042fc9f19afac81d5a5766 Mon Sep 17 00:00:00 2001 From: Samet Dumankaya Date: Thu, 24 Jan 2019 17:06:08 +0300 Subject: [PATCH] AnomalyDetector parameter typo corrected AnomalyDetector class constructor parameter "score_percent_threshold" typed incorrectly as "score_precentile_threshold". --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ae49721..d418cde 100644 --- a/README.md +++ b/README.md @@ -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.