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Framework to streamline use of neural networks
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George3d6 and torrmal Data Transformer & Interface changes (#250)
* properly exporting lightwood model

* added occurance map computation

* adding cycling logic

* added copying logic via cycling index

* fixed syntax error

* trying to fix copy via reindexing

* droped reindexing, was using wrong syntax

* corrected appending

* added balacning for categorical values

* removed debugging logic

* making the secondary dataframe copies

* added unstable parameter map, removed debugging print

* small fix

* added train mode to Data Transformer
Latest commit 7af596b Jun 25, 2019

README.md

MindsDB

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

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 porlbems ? 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

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