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        "author": "MindsDB Inc",
        "author_email": "jorge@mindsdb.com",
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        "description": "\n![MindsDB](https://raw.githubusercontent.com/mindsdb/mindsdb/master/mindsdb/proxies/web/static/img/logo1gw.png \"MindsDB\")\n#\n\n[![Build Status](https://travis-ci.org/mindsdb/mindsdb.svg?branch=master)](https://travis-ci.org/mindsdb/mindsdb)\n[![PyPI version](https://badge.fury.io/py/mindsdb.svg)](https://badge.fury.io/py/mindsdb)\n\nMindsDB's goal is to make it very simple for developers to use the power of artificial neural networks in their projects. [![Tweet](https://img.shields.io/twitter/url/http/shields.io.svg?style=social)](https://twitter.com/intent/tweet?text=Machine%20Learning%20in%20one%20line%20of%20code%21&url=https://www.mindsdb.com&via=mindsdb&hashtags=ai,ml,machine_learning,neural_networks)\n\n* [Installing MindsDB](docs/Installing.md)\n* [Learning from Examples](docs/examples/basic/README.md)\n* [Frequently Asked Questions](docs/FAQ.md)\n* [Provide feedback to improve MindsDB](https://mindsdb.typeform.com/to/c3CEtj)\n\n\n## Quick Overview\n\nYou can get started in your own computer/cloud or you can also try it via your browser using [Google Colab](docs/GoogleColab.md).\n\nIt's very simple to set up \n\n```bash\n pip3 install mindsdb --user\n```\n\n[(Having issues? learn more)](docs/Installing.md)\n\nOnce you have MindsDB installed, you can use it as follows [(learn more)](docs/examples/basic/README.md):\n\n\nTo **train a model**:\n\n\n\n```python\n\nfrom mindsdb import *\n\n\n# We tell mindsDB what we want to learn and from what data\nMindsDB().learn(\n    from_data=\"home_rentals.csv\", # the path to the file where we can learn from, (note: can be url)\n    predict='rental_price', # the column we want to learn to predict given all the data in the file\n    model_name='home_rentals' # the name of this model\n)\n\n```\n\n\nTo **use the model**:\n\n\n```python\n\nfrom mindsdb import *\n\n# use the model to make predictions\nresult = MindsDB().predict(predict='rental_price', when={'number_of_rooms': 2,'number_of_bathrooms':1, 'sqft': 1190}, model_name='home_rentals')\n\n# you can now print the results\nprint('The predicted price is ${price} with {conf} confidence'.format(price=result.predicted_values[0]['rental_price'], conf=result.predicted_values[0]['prediction_confidence']))\n\n```\n\n## Report Issues\n\nPlease help us by reporting any issues you may have while using MindsDB.\n\nhttps://github.com/mindsdb/mindsdb/issues/new/choose\n\n\n",
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