I have a dataset where I need to be able to control to what extent the Outlier Detection Model (Isolation Forest, Elliptic Envelope, OneClassSVM...) considers a given point an outlier or not (somet...

Hence, the following derives: What isa clear the definition of Real-time Anomaly Detection? I am investigating the field of Anomaly Detection and in many papers the approach is defined Real-time, ...

I am looking to create a generic function to convert the output decision_scores of sklearn's IsolationForest into true probabilities [0.0, 1.0]. I am aware of, and have read, the original paper and...

I am examining different methods in outlier detection. I came across sklearn's implementation of Isolation Forest and Amazon sagemaker's implementation of RRCF (Robust Random Cut Forest). Both are ...

The data bellow shows part of my dataset, that is used to detect anomalies describe_file data_numbers index 0 gkivdotqvj 7309.0 0 1 hpwgzodlky 2731.0 1 2 dgaecubawx 0.0 2 3 NaN 0.0 3 4 lnpeyxsrrc...

I want to detect the outliers in a "time series data" which contains the trend and seasonality components. I want to leave out the peaks which are seasonal and only consider only the other peaks an...

While using Isolation Forest for anomaly detection in data should we train the model with only normal data or mix of both normal as well as outlier data? Also what is the best algorithm for anomaly...

I am trying to detect anomalies in a breast cancer dataset using Isolation Forest in sklearn. I am trying to apply Iolation Forest to a mixed data set and it gives me value errors when I fit the mo...

I am currently working on detecting outliers in my dataset using Isolation Forest in Python and I did not completely understand the example and explanation given in scikit-learn documentation Is i...

How can I get alerted when there is a message rate in some topic higher or lower than usual?

Scikit-Learn's IsolationForest class has a method decision_function that returns the anomaly scores of the input samples. However, the documentation does not state what the possible range of these ...

Github Link Of Luminol Library: https://github.com/linkedin/luminol Can anyone explain me with a sample code, how to use this module for finding anomalies in data set. I want to use this module for...

I am using Eclipse with the PMD Plug-in (4.0.0.v20130510-1000) and get a lot of those violations: Found 'DD'-anomaly for variable 'freq' (lines '187'-'189'). Found 'DU'-anomaly for variable 'freq'...