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dataagora-dml

v1.3.6

Published

Interoperable and decentralized machine learning in JavaScript.

Vulnerabilities

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Links

Git

Maintainers

neelesh.doddaneelesh.dodda

Keywords

dataagoradml

Readme

Instructions on Using the DML Library

  1. Install the DML Library (must be using Python 2.7).
npm install dataagora-dml
  1. Import the library.
const dataagora = require('dataagora-dml');
  1. Set the repo_id. This should come from your newly created repo.
repo_id = sample_repo_id;
  1. Get your data. Must be of type Tensor2D.
data = getData();
  1. Bootstrap the library with your repo_id. Store the data with a repo name and wait for incoming library requests to train on your data!
dataagora.bootstrap_and_store(repo_id, data);

You can see an example in test/sample.js.