MindsDB 1.2.9

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

MindsDB's goal is to give developers easy access to the power of artificial neural networks for their projects.

• Installing MindsDB
• Learning from Examples
• Frequently Asked Questions
• Provide Feedback to Improve MindsDB

Try it out

Installation

You can use MindsDb on your own computer in under a minute, simply follow the installation instructions or, if you already have a python environment setup, just run:

 pip3 install mindsdb --user

You can try MindsDb on Google Colab

You can also use the Docker image here

If you'd prefer to watch a video tutorial, you can find it here. (Note: Please manually set it to 720p or greater to have the text appear clearly)

Having problems ? Please tell us about them with an issue on github

Usage

Once you have MindsDB installed, you can use it as follows:

To train a model:

from mindsdb import Predictor


# We 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)
)

To use the model:

from mindsdb import Predictor

# 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

Report Issues

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

https://github.com/mindsdb/mindsdb/issues/new/choose