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NannyML download for Windows

Free download NannyML Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named NannyML whose latest release can be downloaded as v0.8.5.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named NannyML with OnWorks for free.

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- 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.

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NannyML


DESCRIPTION

NannyML is an open-source python library that allows you to estimate post-deployment model performance (without access to targets), detect data drift, and intelligently link data drift alerts back to changes in model performance. Built for data scientists, NannyML has an easy-to-use interface, and interactive visualizations, is completely model-agnostic, and currently supports all tabular classification use cases. NannyML closes the loop with performance monitoring and post deployment data science, empowering data scientist to quickly understand and automatically detect silent model failure. By using NannyML, data scientists can finally maintain complete visibility and trust in their deployed machine learning models. When the actual outcome of your deployed prediction models is delayed, or even when post-deployment target labels are completely absent, you can use NannyML's CBPE-algorithm to estimate model performance.



Features

  • Performance estimation and monitoring
  • End sleepless nights caused by not knowing your model performance
  • Analyse data drift and model performance over time
  • Discover the root cause to why your models are not performing as expected
  • No alert fatigue! React only when necessary if model performance is impacted
  • Painless setup in any environment


Programming Language

Python


Categories

Machine Learning, Data Science

This is an application that can also be fetched from https://sourceforge.net/projects/nannyml.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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