anomaly-detector | Anomaly detector for NodeJS | Predictive Analytics library

 by   uhho JavaScript Version: Current License: MIT

kandi X-RAY | anomaly-detector Summary

kandi X-RAY | anomaly-detector Summary

anomaly-detector is a JavaScript library typically used in Analytics, Predictive Analytics, Nodejs applications. anomaly-detector has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Data anomaly detector for NodeJS.
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              anomaly-detector has a low active ecosystem.
              It has 37 star(s) with 7 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of anomaly-detector is current.

            kandi-Quality Quality

              anomaly-detector has 0 bugs and 0 code smells.

            kandi-Security Security

              anomaly-detector has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              anomaly-detector code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              anomaly-detector is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              anomaly-detector releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            anomaly-detector Key Features

            No Key Features are available at this moment for anomaly-detector.

            anomaly-detector Examples and Code Snippets

            No Code Snippets are available at this moment for anomaly-detector.

            Community Discussions

            QUESTION

            How to use the Multi-variate Anomaly Detection Cognitive Service by Azure?
            Asked 2021-Apr-23 at 06:11

            In the latest version of the Anomaly Detection Service by Azure which supports the Multi-variate Cognitive Service, we need to train a model and then consume it.

            The quickstart documentation for Python mentions a few libraries which are not getting imported:

            ...

            ANSWER

            Answered 2021-Apr-23 at 06:11

            This error was with version azure-ai-anomalydetector==3.0.0b2. With version azure-ai-anomalydetector==3.0.0b3, this has been addressed.

            The problem is because of the change of the response format recently. To solve that issue, you can change the line with error to

            Source https://stackoverflow.com/questions/67105080

            QUESTION

            Automatically Exporting PowerBi Visualisation Data?
            Asked 2021-Apr-19 at 04:32

            I need to automatically extract raw data of a PowerBI visualisation across multiple published reports.

            Why not just pull the underlying dataset? Because the visualisations are using anomaly detection features of PowerBI, which include anomaly flags not available in the underlying dataset (basically, the visualisations contain calculated columns that are not included in main PowerBI data model)

            Ideally a REST API solution would be best, but dumping CSV files or other more roundabout methods are ok.

            So far, the closest functionality I can see is in the Javascript API here - https://docs.microsoft.com/en-us/javascript/api/overview/powerbi/export-data, which allows a website to communicate with an embedded PowerBI report and pass in and out information. But this doesn't seem to match my implementation needs.

            I have also seen this https://docs.microsoft.com/en-us/azure/cognitive-services/anomaly-detector/tutorials/batch-anomaly-detection-powerbi which is to manually implement anomaly detection via Azure Services rather than the native PowerBI functionality, however this means abandoning the simplicity of the PowerBI anomaly function that is so attractive in the first place.

            I have also seen this StackOverflow question here PowerBI Report Export in csv format via Rest API and it mentions using XMLA endpoints, however it doesn't seem like the client applications have the functionality to connect to visualisations - for example I tried DAX Studio and it doesn't seem to have any ability to query the data on a visualisation level.

            ...

            ANSWER

            Answered 2021-Apr-19 at 04:32

            I'm afraid all information on PowerBI says this is not possible. The API only supports PDF, PPTX and PNG options, and as such the integration with Power Automate doesn't do any better.

            The StackOverflow question you link has some information on retrieving the Dataset but that's before the anomaly detection has processed the data.

            I'm afraid your best bet is to, indeed, use the Azure service. I'd suggest ditching PowerBI and going to an ETL tool like DataFactory or even into the AzureML propositions Microsoft offers. You'll be more flexible than in PowerBI as well since you'll have the full power of Python/R notebooks at your disposal.

            Sorry I can't give you a better answer.

            Source https://stackoverflow.com/questions/66665680

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install anomaly-detector

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/uhho/anomaly-detector.git

          • CLI

            gh repo clone uhho/anomaly-detector

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            git@github.com:uhho/anomaly-detector.git

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