A simple python wrapper over mljar API. It allows MLJAR users to create Machine Learning models with few lines of code:
from mljar import Mljar
model = Mljar(project='My awesome project', experiment='First experiment')
model.fit(X,y)
model.predict(X)
That's all folks! Yeah, I know, this makes Machine Learning super easy! You can use this code for following Machine Learning tasks:
You can install mljar with pip:
pip install -U mljar
or from source code:
python setup.py install
MLJAR_TOKEN
with your token value:
export MLJAR_TOKEN=exampleexampleexample
fit
from Mljar class
you create new project and start experiment with models training.
All your results will be accessible from your mljar.com account - this makes Machine Learning super easy and
keeps all your models and results in beautiful order. So, you will never miss anything.fit
method you can switch
your computer off and MLJAR will do the job for you!contact@mljar.com
.The examples are here!.
To run tests with command:
python -m tests.run