You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Describe the bug
In the Anomaly Detection area of the Dashboard, in the "Select Anomaly Detection Algorithm" combobox, the LocalOutlierFactor Algorithm is presented as "LocalOutlierFactorETSDetector".
To Reproduce
Just run the dashboard and click in the combobox.
Expected behavior
LocalOutlierFactor and ETSDetector should be presented as 2 different options.
Screenshots
If applicable, add screenshots to help explain your problem.
Desktop (please complete the following information):
OS: Windows 11
Merlion Version 2.0.4
Additional context
In the class deffinition:
class AnomalyModel(ModelMixin, DataMixin):
univariate_algorithms = [
"DefaultDetector",
"ArimaDetector",
"DynamicBaseline",
"IsolationForest",
"LocalOutlierFactor"
"ETSDetector",
"MSESDetector",
"ProphetDetector",
"RandomCutForest",
"SarimaDetector",
"WindStats",
"SpectralResidual",
"ZMS",
"DeepPointAnomalyDetector",
]
multivariate_algorithms = ["IsolationForest", "AutoEncoder", "VAE", "DAGMM", "LSTMED","LocalOutlierFactor"]
thresholds = ["Threshold", "AggregateAlarms"]
of the file anomaly,py, the comma after the LocalOutlierFactor is missed.
The text was updated successfully, but these errors were encountered:
Describe the bug
In the Anomaly Detection area of the Dashboard, in the "Select Anomaly Detection Algorithm" combobox, the LocalOutlierFactor Algorithm is presented as "LocalOutlierFactorETSDetector".
To Reproduce
Just run the dashboard and click in the combobox.
Expected behavior
LocalOutlierFactor and ETSDetector should be presented as 2 different options.
Screenshots
If applicable, add screenshots to help explain your problem.
Desktop (please complete the following information):
Additional context
In the class deffinition:
class AnomalyModel(ModelMixin, DataMixin):
univariate_algorithms = [
"DefaultDetector",
"ArimaDetector",
"DynamicBaseline",
"IsolationForest",
"LocalOutlierFactor"
"ETSDetector",
"MSESDetector",
"ProphetDetector",
"RandomCutForest",
"SarimaDetector",
"WindStats",
"SpectralResidual",
"ZMS",
"DeepPointAnomalyDetector",
]
multivariate_algorithms = ["IsolationForest", "AutoEncoder", "VAE", "DAGMM", "LSTMED","LocalOutlierFactor"]
thresholds = ["Threshold", "AggregateAlarms"]
of the file anomaly,py, the comma after the LocalOutlierFactor is missed.
The text was updated successfully, but these errors were encountered: