MindsDB 0.8.9.1

MindsDB's goal is to make it very simple for developers to use the power of artificial neural networks in their projects.

v.0.8.9

MindsDB's goal is to make it very simple for developers to use the power of artificial neural networks in their projects.

• Installing MindsDB
• Using MindsDB in the cloud with Google Colab
• Config Settings
• Learning from Examples
• Inside MindsDB
• 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.

It's very simple to setup

 pip3 install mindsdb --user

(Having issues? learn more)

Once you have MindsDB installed, you can use it as follows (learn more):

To train a model:

from mindsdb import *


# We tell mindsDB what we want to learn and from what data
MindsDB().learn(
    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.

https://github.com/mindsdb/mindsdb/blob/master/.github/ISSUE_TEMPLATE/bug_report.md