This is the Windows app named Population Shift Monitoring whose latest release can be downloaded as v1.4.6.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Population Shift Monitoring with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
Population Shift Monitoring
DESCRIPTION
popmon is a package that allows one to check the stability of a dataset. popmon works with both pandas and spark datasets. popmon creates histograms of features binned in time-slices, and compares the stability of the profiles and distributions of those histograms using statistical tests, both over time and with respect to a reference. It works with numerical, ordinal, categorical features, and the histograms can be higher-dimensional, e.g. it can also track correlations between any two features. popmon can automatically flag and alert on changes observed over time, such as trends, shifts, peaks, outliers, anomalies, changing correlations, etc, using monitoring business rules. Advanced users can leverage popmon's modular data pipeline to customize their workflow. Visualization of the pipeline can be useful when debugging or for didactic purposes. There is a script included with the package that you can use.
Features
- Reports and integrations
- Comparison and profile extensions
- Popmon currently integrates with Diptest
- Resources on how to integrate popmon are available in the examples directory
- External libraries or custom functionality can be easily added to Profiles and Comparisons
- Python/C++ implementation of Hartigan & Hartigan's dip test for unimodality
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/population-shift-mon.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
