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ModelFox download for Windows

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

This is the Windows app named ModelFox whose latest release can be downloaded as v0.8.0.zip. It can be run online in the free hosting provider OnWorks for workstations.

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- 3. Upload this application in such filemanager.

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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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ModelFox


DESCRIPTION

ModelFox makes it easy to train, deploy, and monitor machine learning models. Train a model from a CSV file on the command line. Make predictions from Elixir, Go, JavaScript, PHP, Python, Ruby, or Rust. Learn about your models and monitor them in production from your browser. ModelFox makes it easy to train, deploy, and monitor machine learning models. You can install the modelfox CLI by either downloading the binary from the latest GitHub release or by building from source. Train a machine learning model by running modelfox train with the path to a CSV file and the name of the column you want to predict. The CLI automatically transforms your data into features, trains a number of linear and gradient boosted decision tree models to predict the target column, and writes the best model to a .modelfox file. If you want more control, you can provide a config file.



Features

  • Make predictions with libraries for Elixir, Go, JavaScript, PHP, Python, Ruby, and Rust
  • View stats and metrics
  • Tune your model to get the best performance
  • Make example predictions and get detailed explanations
  • Once your model is deployed, make sure that it performs as well in production as it did in training
  • Look up any prediction by its identifier and get a detailed explanation
  • Get alerts if your data drifts or metrics dip


Programming Language

Rust


Categories

Machine Learning

This is an application that can also be fetched from https://sourceforge.net/projects/modelfox.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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