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MindsDB server, provides server capabilities to mindsdb native python library

Project description

![MindsDB]( "MindsDB")

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MindsDB's goal is to make it very simple for developers to use the power of artificial neural networks in their projects. [![Tweet](](,ml,machine_learning,neural_networks)

* [Installing MindsDB](docs/
* [Learning from Examples](docs/examples/basic/
* [Frequently Asked Questions](docs/
* [Provide feedback to improve MindsDB](

## Quick Overview

You can get started in your own computer/cloud or you can also try it via your browser using [Google Colab](docs/

It's very simple to set up

pip3 install mindsdb --user

[(Having issues? learn more)](docs/

Once you have MindsDB installed, you can use it as follows [(learn more)](docs/examples/basic/

To **train a model**:


from mindsdb import *

# We tell mindsDB what we want to learn and from what data
from_data="home_rentals.csv", # the path to the file where we can learn from, (note: can be url)
predict='rental_price', # the column we want to learn to predict given all the data in the file
model_name='home_rentals' # the name of this model


To **use the model**:


from mindsdb import *

# use the model to make predictions
result = MindsDB().predict(predict='rental_price', when={'number_of_rooms': 2,'number_of_bathrooms':1, 'sqft': 1190}, model_name='home_rentals')

# you can now print the results
print('The predicted price is ${price} with {conf} confidence'.format(price=result.predicted_values[0]['rental_price'], conf=result.predicted_values[0]['prediction_confidence']))


## Report Issues

Please help us by reporting any issues you may have while using MindsDB.

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