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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
Project Samples
