Metadata-Version: 2.1
Name: gradient
Version: 1.5.2
Summary: Paperspace Python
Home-page: https://github.com/paperspace/gradient-cli
Author: Paperspace Co.
Author-email: info@paperspace.com
License: UNKNOWN
Description: ![GitHubSplash](https://user-images.githubusercontent.com/585865/65443342-e630d300-ddfb-11e9-9bcd-de1d2033ea60.png)
        
        Gradient CLI
        =================
        
        ![PyPI](https://img.shields.io/pypi/v/gradient)
        [![Downloads](https://pepy.tech/badge/gradient)](https://pepy.tech/project/gradient)
        
        <br>
        
        **Get started:** [Create Account](https://console.paperspace.com/signup?gradient=true) • [Install CLI](https://docs.paperspace.com/gradient/get-started/install-the-cli) • [Tutorials](https://docs.paperspace.com/gradient/tutorials) • [Docs](https://docs.paperspace.com/gradient)
        
        **Resources:** [Website](https://gradient.paperspace.com/) • [Blog](https://blog.paperspace.com/) • [Support](https://support.paperspace.com/hc/en-us) • [Contact Sales](https://info.paperspace.com/contact-sales)
        
        <br>
        
        Gradient is an an end-to-end MLOps platform that enables individuals and organizations to quickly develop, train, and deploy Deep Learning models.  The Gradient software stack runs on any infrastructure e.g. AWS, GCP, on-premise and low-cost [Paperspace GPUs](https://gradient.paperspace.com/instances).  Leverage automatic versioning, distributed training, built-in graphs & metrics, hyperparameter search, GradientCI, 1-click Jupyter Notebooks, our Python SDK, and more. 
        
        Key components:
        
        * [Notebooks](https://gradient.paperspace.com/notebooks): 1-click Jupyter Notebooks.
        * [Experiments](https://gradient.paperspace.com/experiments): Run experiments from a web interface, CLI, SDK, or [GradientCI](https://gradient.paperspace.com/gradientci) bot.
        * [Models](https://gradient.paperspace.com/models): Store, analyze, and version models.
        * [Inference](https://gradient.paperspace.com/inference): Deploy models as API endpoints.
        
        Gradient supports any ML/DL framework (TensorFlow, PyTorch, XGBoost, etc).
        
        <hr>
        
        
        See [releasenotes.md](https://github.com/Paperspace/gradient-cli/blob/master/releasenotes.md) for details on the current release, as well as release history.
        
        
        <br>
        
        Getting Started
        ===============
        1. Make sure you have a Paperspace account set up. Go to [http://paperspace.com](https://console.paperspace.com/signup?gradient=true)
           to register and generate an API key.
        
        2. Use pip, pipenv, or conda to install the gradient package, e.g.:
        
            `pip install -U gradient`
        
            To install/update prerelease (Alpha/Beta) version version of gradient, use:
        
            `pip install -U --pre gradient`
        
        3. Set your api key by executing the following:
        
            `gradient apiKey <your-api-key-here>`
        
           Note: your api key is cached in ~/.paperspace/config.json
        
           You can remove your cached api key by executing:
        
            `gradient logout`
        
        
        Executing tasks on Gradient
        =================
        The Gradient CLI follows a standard [command] [--options] syntax
        
        For example, to create a new experiment use:
        ```
        gradient experiments create [type] [--options]
        ```
        The two available experiment types are `singlenode` and `multinode`. Various command options include setting the instance type, container, project, etc.  Note that some options are required to create new experiment.
        
        For a full list of available commands run `gradient experiments --help`. You can also view more info about Experiments in the [docs](https://docs.paperspace.com/gradient/experiments/using-experiments).  
        
        Contributing
        ============
        
        Want to contribute?  Contact us at hello@paperspace.com
        
        
        ### Pre-Release Testing
        
        Have a Paperspace QA tester install your change directly from the branch to test it.
        They can do it with `pip install git+https://github.com/Paperspace/gradient-cli.git@MYBRANCH`.
        
Keywords: paperspace api development library
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries
Classifier: License :: OSI Approved :: ISC License (ISCL)
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
Provides-Extra: dev
