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Decision Forests support for TensorFlow.js","maintainers":[{"name":"delhibabu","email":"delhibabu@google.com"},{"name":"laxma4675","email":"laxmareddyp@google.com"},{"name":"fengwuyao","email":"yaofengwu123@gmail.com"},{"name":"linchan","email":"linchan@google.com"},{"name":"pyu10055","email":"ping.yu.11@gmail.com"},{"name":"caisq","email":"cais@google.com"},{"name":"annxingyuan","email":"annyuan@gmail.com"},{"name":"linazhao128","email":"linazhao128@gmail.com"},{"name":"mattsoulanille","email":"matthew@soulanille.net"},{"name":"jinjingforever","email":"jinjingforever@gmail.com"}],"readme":"# Tensorflow Decision Forests support for Tensorflow.js\n\nThis package enables users to run arbitrary Tensorflow Decision Forests models\non the web that are converted using tfjs-converter.\nUsers can load a TFDF model from a URL, use TFJS tensors to set\nthe model's input data, run inference, and get the output back in TFJS tensors.\nUnder the hood, the TFDF C++ runtime is packaged in a set of WASM modules.\n\n# Usage\n\n## Import the packages\n\nTo use this package, you will need a TFJS backend installed.\nYou will also need to import `@tensorflow/tfjs-core` for\nmanipulating tensors, and `@tensorflow/tfjs-converter` for loading models.\n\n### Via NPM\n\n```js\n// Import @tensorflow/tfjs-core\nimport * as tf from '@tensorflow/tfjs-core';\n// Adds the CPU backend.\nimport '@tensorflow/tfjs-backend-cpu';\n// Import @tensorflow/tfjs-converter\nimport * as tf from '@tensorflow/tfjs-converter';\n// Import @tensorflow/tfjs-tfdf.\nimport * as tfdf from '@tensorflow/tfjs-tfdf';\n```\n\n### Via a script tag\n\n```html\n<!-- Import @tensorflow/tfjs-core -->\n<script src=\"https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-core\"></script>\n<!-- Adds the CPU backend -->\n<script src=\"https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-cpu\"></script>\n<!-- Import @tensorflow/tfjs-converter -->\n<script src=\"https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-converter\"></script>\n<!--\n  Import @tensorflow/tfjs-tfdf\n\n  Note that we need to explicitly load dist/tf-tfdf.min.js so that it can\n  locate WASM module files from their default location (dist/).\n-->\n<script src=\"https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-tfdf/dist/tf-tfdf.min.js\"></script>\n```\n\n## Set WASM modules location (optional)\n\nBy default, it will try to load the WASM modules from the same location where\nthe package or your own script is served. Use `setLocateFile` to set your own\nlocation. See `src/tfdf_web_api_client.d.ts` for more details.\n\n```js\n// `base` is the URL to the main javascript file's directory.\n// To return the default URL of the file use `${base}${path}`.\ntfdf.setLocateFile((path, base) => {\n  return `https://your-server/.../${path}`;\n});\n```\n\n## Load a TFDF model\n```js\nconst tfdfModel = await tfdf.loadTFDFModel('url/to/your/model.json');\n```\n\n## Run inference\n```js\n// Prepare input tensors.\nconst input = tf.tensor1d(['test', 'strings']);\n\n// Run inference and get output tensors.\nconst outputTensor = await tfdfModel.executeAsync(input);\nconsole.log(outputTensor.dataSync());\n```\n\n# Development\n\n## Building\n\n```sh\n$ yarn\n$ yarn build\n```\n\n## Testing\n\n```sh\n$ yarn test\n```\n\n## Deployment\n```sh\n$ yarn build-npm\n```\n","readmeFilename":"README.md"}