MindsDB 1.7.0

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.

MindsDB as project is made out of the following:

• Mindsdb-native: This repository, which is a python module that aims for auto-model building, training, testing in a single line of code.

• Lightwood: Under the hood of mindsdb native there is lightwood, a Pytorch based framework to streamline the work of gluing together building blocks for ML lightwood's GITHUB.

• MindsDB Scout: A graphical user interface to work with MindsDB, with a focus on interpretability and explainability.

MindsDB Native

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

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:

 pip3 install mindsdb --user

otherwise simply follow the installation instructions.

★ Google Colab

★ Docker

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:

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

Video Tutorial

Please click on the image below to load the tutorial:

(Note: Please manually set it to 720p or greater to have the text appear clearly)

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 you may have while using MindsDB.

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