StreamAD | Online anomaly detection for data streams | Predictive Analytics library

by Fengrui-Liu Python Version: 0.3.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | StreamAD Summary

StreamAD is a Python library typically used in Analytics, Predictive Analytics, Spark applications. StreamAD has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However StreamAD build file is not available. You can install using 'pip install StreamAD' or download it from GitHub, PyPI.

Online anomaly detection for data streams/ Real-time anomaly detection for time series data.

Support

Quality

Security

License

Reuse

Support

StreamAD has a low active ecosystem.

It has 63 star(s) with 19 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 1 have been closed. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of StreamAD is 0.3.0

Quality

StreamAD has no bugs reported.

Security

StreamAD has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

StreamAD is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

StreamAD releases are available to install and integrate.

Deployable package is available in PyPI.

StreamAD has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed StreamAD and discovered the below as its top functions. This is intended to give you an instant insight into StreamAD implemented functionality, and help decide if they suit your requirements.

Fit the model to the data
Calculate the miner coefficient
Update peaks at a given side
Log - likelihood function
Compute the forest for the given data
Generate the max and min values
Resets the tree
Update the mass of the tree
Calculate the back - mean peak
Updates the peaks of the given side
Calculate back mean
Compute the score for a given time series
Returns the maximum value of the window
Returns the minimum value
Read data from stream
Check if dataset exists
Fit the model
Burnin in pixels
Calculate the score of the forest
Score a tree
Preprocesses data
Prepare dataset for streaming
Calculate the score of X
Calculate the best score
Compute the score of the model
Compute anomaly score

Get all kandi verified functions for this library.

StreamAD Key Features

No Key Features are available at this moment for StreamAD.

StreamAD Examples and Code Snippets

No Code Snippets are available at this moment for StreamAD.

Community Discussions

Trending Discussions on StreamAD

RecordRTC: Ondataavailable called twice. Only first file is proper, others are corrupted or too small

QUESTION

RecordRTC: Ondataavailable called twice. Only first file is proper, others are corrupted or too small

Asked 2019-Sep-05 at 07:35

I want to record local and remote stream at the interval of 2 seconds and upload it to the server with Ajax. But the problem is, the method ondataavailable is called twice so the same video is uploaded to the server twice. The first video is playable and proper, while the rest of the videos are either corrupted or very small (less than one second). The size of all the videos is almost the same!

I've tried with MediaRecorder API also but the problem is the same. I've tried with 5 seconds of the interval but still no luck!

This is how I get the local stream:

...

ANSWER

Answered 2019-Sep-04 at 23:40

(This answer covers MediaRecorder, though I suspect it also applies to the RecordRTC JS library.)

The timeSlice: 5000 argument slices the recording into chunks, calling dataavailable every 5 seconds. But these chunks aren't independently playable. You're expected to join them like this to create a valid media container file:

Source https://stackoverflow.com/questions/57786036

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

Vulnerabilities

No vulnerabilities reported

Install StreamAD

You can install using 'pip install StreamAD' or download it from GitHub, PyPI.
You can use StreamAD like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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 .

Find more information at: