diff options
Diffstat (limited to 'collectors/python.d.plugin/anomalies')
| -rw-r--r-- | collectors/python.d.plugin/anomalies/anomalies.chart.py | 2 | ||||
| -rw-r--r-- | collectors/python.d.plugin/anomalies/anomalies.conf | 4 |
2 files changed, 3 insertions, 3 deletions
diff --git a/collectors/python.d.plugin/anomalies/anomalies.chart.py b/collectors/python.d.plugin/anomalies/anomalies.chart.py index 3691537b4b..97dbb1d1ed 100644 --- a/collectors/python.d.plugin/anomalies/anomalies.chart.py +++ b/collectors/python.d.plugin/anomalies/anomalies.chart.py @@ -117,7 +117,7 @@ class Service(SimpleService): self.model_display_names = {model: model.split('::')[1] if '::' in model else model for model in self.models_in_scope} def model_params_init(self): - """Model paramaters initialisation. + """Model parameters initialisation. """ self.train_max_n = self.configuration.get('train_max_n', 100000) self.train_n_secs = self.configuration.get('train_n_secs', 14400) diff --git a/collectors/python.d.plugin/anomalies/anomalies.conf b/collectors/python.d.plugin/anomalies/anomalies.conf index 586a277ea9..9950534aaa 100644 --- a/collectors/python.d.plugin/anomalies/anomalies.conf +++ b/collectors/python.d.plugin/anomalies/anomalies.conf @@ -92,7 +92,7 @@ local: diffs_n: 1 # What is the typical proportion of anomalies in your data on average? - # This paramater can control the sensitivity of your models to anomalies. + # This parameter can control the sensitivity of your models to anomalies. # Some discussion here: https://github.com/yzhao062/pyod/issues/144 contamination: 0.001 @@ -100,7 +100,7 @@ local: # just the average of all anomaly probabilities at each time step include_average_prob: true - # Define any custom models you would like to create anomaly probabilties for, some examples below to show how. + # Define any custom models you would like to create anomaly probabilities for, some examples below to show how. # For example below example creates two custom models, one to run anomaly detection user and system cpu for our demo servers # and one on the cpu and mem apps metrics for the python.d.plugin. # custom_models: |