Metadata-Version: 2.1
Name: MindsDB
Version: 1.12.5
Summary: MindsDB's goal is to make it very simple for developers to use the power of artificial neural networks in their projects.
Home-page: https://github.com/mindsdb/mindsdb
Author: MindsDB Inc
Author-email: jorge@mindsdb.com
License: MIT
Download-URL: https://pypi.org/project/mindsdb
Description: 
        ![MindsDB](https://raw.githubusercontent.com/mindsdb/mindsdb/master/assets/logo_gh.png "MindsDB")
        #
        
        [![Build Status](https://img.shields.io/travis/mindsdb/mindsdb?branch=master&logo=travis)](https://travis-ci.org/mindsdb/mindsdb)
        ![](https://img.shields.io/badge/python-3.6%20|%203.7-brightgreen.svg)
        [![PyPI version](https://badge.fury.io/py/MindsDB.svg)](https://badge.fury.io/py/MindsDB)
        ![PyPI - Downloads](https://img.shields.io/pypi/dm/mindsdb)
        ![Website](https://img.shields.io/website?url=https%3A%2F%2Fwww.mindsdb.com%2F)
        
        MindsDB is an Explainable AutoML framework for developers.[![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)
        
        
        # MindsDB Native
        
        With MindsDB you can build, train and use state of the art ML models in as simple as one line of code.
        
        * [Installing MindsDB Native](https://mindsdb.github.io/mindsdb/docs/installing-mindsdb)
        * [Learning from Examples](https://mindsdb.github.io/mindsdb/docs/basic-mindsdb)
        * [MindsDB Explainability GUI](http://mindsdb.com/product)
        * [Frequently Asked Questions](https://mindsdb.github.io/mindsdb/docs/faq)
        * [Provide Feedback to Improve MindsDB](https://mindsdb.typeform.com/to/c3CEtj)
        
        
        ## Try it out
        
        ### Installation
        
        
        
        * **Desktop**: You can use MindsDB on your own computer in under a minute, if you already have a python environment setup, just run the following command:
        
        ```bash
         pip install mindsdb --user
        ```
        
        *Note: depending on your environment, you might have to use `pip3` instead of `pip` in the above command.*
        
          If for some reason this fail, don't worry, simply follow the [complete installation instructions](https://mindsdb.github.io/mindsdb/docs/installing-mindsdb) which will lead you through a more thorough procedure which should fix most issues.
        
        * **Docker**: If you would like to run it all in a container simply:  
        
        ```bash
        sh -c "$(curl -sSL https://raw.githubusercontent.com/mindsdb/mindsdb/master/distributions/docker/build-docker.sh)"
        ```
        
        
        ### Usage
        
        Once you have MindsDB installed, you can use it as follows:
        
        Import **MindsDB**:
        
        ```python
        
        from mindsdb import Predictor
        
        ```
        
        One line of code to **train a model**:
        
        ```python
        # tell mindsDB what we want to learn and from what data
        Predictor(name='home_rentals_price').learn(
            to_predict='rental_price', # the column we want to learn to predict given all the data in the file
            from_data="https://s3.eu-west-2.amazonaws.com/mindsdb-example-data/home_rentals.csv" # the path to the file where we can learn from, (note: can be url)
        )
        
        ```
        
        
        One line of code to **use the model**:
        
        ```python
        
        # use the model to make predictions
        result = Predictor(name='home_rentals_price').predict(when={'number_of_rooms': 2,'number_of_bathrooms':1, 'sqft': 1190})
        
        # you can now print the results
        print('The predicted price is ${price} with {conf} confidence'.format(price=result[0]['rental_price'], conf=result[0]['rental_price_confidence']))
        
        ```
        
        Visit the documentation to [learn more](https://mindsdb.github.io/mindsdb/docs/basic-mindsdb)
        
        * **Google Colab**: You can also try MindsDB straight here [![Google Colab](https://colab.research.google.com/assets/colab-badge.svg "MindsDB")](https://colab.research.google.com/drive/1qsIkMeAQFE-MOEANd1c6KMyT44OnycSb)
        
        
        ## Video Tutorial
        
        Please click on the image below to load the tutorial:
        
        [![here](https://img.youtube.com/vi/a49CvkoOdfY/0.jpg)](https://youtu.be/yr7fgqt9cfU)  
        
        (Note: Please manually set it to 720p or greater to have the text appear clearly)
        
        ## MindsDB Graphical User Interface
        
        You can also work with mindsdb via its graphical user interface ([download here](http://mindsdb.com/product)).
        Please click on the image below to load the tutorial:
        
        [![here](https://img.youtube.com/vi/fOwdv4j26CA/0.jpg)](https://youtu.be/fOwdv4j26CA)  
        
        
        ## MindsDB Lightwood: Machine Learning Lego Blocks
        
        Under the hood of mindsdb there is lightwood, a Pytorch based framework that breaks down machine learning problems into smaller blocks that can be glued together seamlessly. More info about [MindsDB lightwood's on GITHUB](https://github.com/mindsdb/lightwood/).
        
        ## Contributing
        
        In order to make changes to mindsdb, the ideal approach is to fork the repository than clone the fork locally `PYTHONPATH`.
        
        For example: `export PYTHONPATH=$PYTHONPATH:/home/my_username/mindsdb`.
        
        To test if your changes are working you can try running the CI tests locally: `cd tests/ci_tests && python3 full_test.py`
        
        Once you have specific changes you want to merge into master, feel free to make a PR.
        
        ## Report Issues
        
        Please help us by [reporting any issues](https://github.com/mindsdb/mindsdb/issues/new/choose) you may have while using MindsDB.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: extra_data_sources
Provides-Extra: ludwig_model
