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All of this repository is MIT licensed, except for the `crates/app` directory, which is source available and free to use for testing, but requires a paid license to use in production. Send us an email at hello@tangram.dev if you are interested in a license.
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All of this repository is MIT licensed, except for the `crates/app` directory, which is source available and free to use for testing, but requires a paid license to use in production. Send us an email at hello@modelfox.dev if you are interested in a license.
Copy file name to clipboardExpand all lines: README.md
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<palign="center">
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<img src="tangram.svg" title="Tangram">
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<img src="modelfox.svg" title="ModelFox">
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</p>
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<h1align="center">
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Tangram is the all-in-one machine learning toolkit for programmers.
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ModelFox is the all-in-one machine learning toolkit for programmers.
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</h1>
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<palign="center">
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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.
Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.
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ModelFox makes it easy for programmers to train, deploy, and monitor machine learning models.
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- Run `tangram train` to train a model from a CSV file on the command line.
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- Make predictions with libraries for [Elixir](https://hex.pm/packages/tangram), [Go](https://pkg.go.dev/github.com/tangramdotdev/tangram-go), [JavaScript](https://www.npmjs.com/package/@tangramdotdev/tangram), [PHP](https://packagist.org/packages/tangram/tangram), [Python](https://pypi.org/project/tangram), [Ruby](https://rubygems.org/gems/tangram), and [Rust](https://lib.rs/crates/tangram).
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- Run `tangram app` to learn more about your models and monitor them in production.
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- Run `modelfox train` to train a model from a CSV file on the command line.
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- Make predictions with libraries for [Elixir](https://hex.pm/packages/modelfox), [Go](https://pkg.go.dev/github.com/modelfoxdotdev/modelfox-go), [JavaScript](https://www.npmjs.com/package/@modelfoxdotdev/modelfox), [PHP](https://packagist.org/packages/modelfox/modelfox), [Python](https://pypi.org/project/modelfox), [Ruby](https://rubygems.org/gems/modelfox), and [Rust](https://lib.rs/crates/modelfox).
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- Run `modelfox app` to learn more about your models and monitor them in production.
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### Install
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[Install the `tangram` CLI](https://www.tangram.dev/docs/install)
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[Install the `modelfox` CLI](https://www.modelfox.dev/docs/install)
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### Train
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Train a machine learning model by running `tangram train` with the path to a CSV file and the name of the column you want to predict.
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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 `.tangram` file. If you want more control, you can provide a config file.
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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.
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### Predict
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Make predictions with libraries for [Elixir](https://hex.pm/packages/tangram), [Go](https://pkg.go.dev/github.com/tangramdotdev/tangram-go), [JavaScript](https://www.npmjs.com/package/@tangramdotdev/tangram), [PHP](https://packagist.org/packages/tangram/tangram), [Python](https://pypi.org/project/tangram), [Ruby](https://rubygems.org/gems/tangram), and [Rust](https://lib.rs/tangram).
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Make predictions with libraries for [Elixir](https://hex.pm/packages/modelfox), [Go](https://pkg.go.dev/github.com/modelfoxdotdev/modelfox-go), [JavaScript](https://www.npmjs.com/package/@modelfoxdotdev/modelfox), [PHP](https://packagist.org/packages/modelfox/modelfox), [Python](https://pypi.org/project/modelfox), [Ruby](https://rubygems.org/gems/modelfox), and [Rust](https://lib.rs/modelfox).
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```javascript
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lettangram=require("@tangramdotdev/tangram")
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letmodelfox=require("@modelfoxdotdev/modelfox")
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let model =newtangram.Model("./heart_disease.tangram")
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let model =newmodelfox.Model("./heart_disease.modelfox")
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let input = {
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age:63,
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### Inspect
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Run `tangram app`, open your browser to http://localhost:8080, and upload the model you trained.
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Run `modelfox app`, open your browser to http://localhost:8080, and upload the model you trained.
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- View stats and metrics.
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- Tune your model to get the best performance.
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## License
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All of this repository is MIT licensed, except for the `crates/app` directory, which is source available and free to use for testing, but requires a paid license to use in production. Send us an email at hello@tangram.dev if you are interested in a license.
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All of this repository is MIT licensed, except for the `crates/app` directory, which is source available and free to use for testing, but requires a paid license to use in production. Send us an email at hello@modelfox.dev if you are interested in a license.
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