This browser is no longer supported.
Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support.
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(0, 86%, 10%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3ESD%3C/text%3E%3C/svg%3E)
I want to detect anomaly for the time series i am having and i want to understand how does the microsoft detects anomaly withe the different algorithms it provides.
The problem or the challenge i am facing is that the method arguments. I don't know what arguments should i pass in the algorithm.
Like For Example:
DetectAnomalyBySrCnn has arguments like :- trainingWindowSize, threshold, backAddWindowSize, and many more.
How to pass these parameters in a way that i get correct output.
.NET: Microsoft Technologies based on the .NET software framework. Machine learning: A type of artificial intelligence focused on enabling computers to use observed data to evolve new behaviors that have not been explicitly programmed.
An object-oriented and type-safe programming language that has its roots in the C family of languages and includes support for component-oriented programming.
Formerly known as Azure AI Services or Azure Cognitive Services is a unified collection of prebuilt AI capabilities within the Microsoft Foundry platform
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(22.400000000000002, 11%, 12%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3ERM%3C/text%3E%3C/svg%3E)
@Swapnil Dave Thanks for the question. Can you please share the sample/Document that you are trying.
SR in ML.NET and SR in Python: https://github.com/microsoft/anomalydetector
Try out the service at Azure Notebook: https://aka.ms/adnotebook
Here is link to the document using ML.NET.
@Ramr-msft
This is the file pretty much the gist of what i am trying to do..
Actually i am a fresher in this ML domain and trying really hard to gain knowledge. I have the task of detecting anomaly in the time series. I have been told that there are two types of anomaly detection, namely : 1] basic 2] agile (like seasonal maybe)
And, also i have been told about that ML Dotnet is good for that. And i have been trying to get a grasp on the way ML code is done in c# dotnet and all the algorithm it provides. I have seen the algorithms for the anomaly detection but i can't understand what these algorithms perform underneath. As of now the computations are just a black box to me, but if provided the right understanding i might be able to perform well. I understood the pipeline flow of ML Context and all but the thing that concerns me is the working of the algorithm. And if i don't know how the algorithm performs i won't be able to pass the required arguments. In a way that they are intended to.
I would love to learn and gain the knowledge about the algorithms if you could teach me. I don't have any teacher who could teach me this.
P.S: I have passed random arguments in the SrCnn Anomaly model for the windows size, training size, threshold and all. Was just checking