Metadata-Version: 2.1
Name: autogluon
Version: 0.0.3
Summary: AutoML Toolkit with MXNet Gluon
Home-page: https://github.com/awslabs/autogluon
Author: AutoGluon Community
License: Apache
Platform: UNKNOWN
Requires-Python: >=3.6.*
Requires-Dist: numpy (>=1.16.0)
Requires-Dist: scipy (>=1.3.3)
Requires-Dist: cython
Requires-Dist: tornado
Requires-Dist: requests
Requires-Dist: matplotlib
Requires-Dist: tqdm (>=4.38.0)
Requires-Dist: paramiko (>=2.5.0)
Requires-Dist: distributed (>=2.6.0)
Requires-Dist: ConfigSpace (<=0.4.10)
Requires-Dist: gluoncv (>=0.5.0)
Requires-Dist: gluonnlp (==0.8.1)
Requires-Dist: graphviz
Requires-Dist: scikit-optimize
Requires-Dist: catboost
Requires-Dist: boto3 (==1.9.187)
Requires-Dist: lightgbm (==2.3.0)
Requires-Dist: pandas (==0.24.2)
Requires-Dist: psutil
Requires-Dist: scikit-learn (==0.21.2)

AutoGluon: AutoML Toolkit for Deep Learning
-------------------------------------------

AutoGluon automates machine learning tasks enabling you to easily
achieve strong predictive performance in your applications. With just a
few lines of code, you can train and deploy high-accuracy deep learning
models on image, text, and tabular data. Get started with:

::

   # First install package from terminal:  pip install mxnet autogluon

   from autogluon import TabularPrediction as task
   train_data = task.Dataset(file_path='https://autogluon.s3.amazonaws.com/datasets/Inc/train.csv')
   test_data = task.Dataset(file_path='https://autogluon.s3.amazonaws.com/datasets/Inc/test.csv')
   predictor = task.fit(train_data=train_data, label='class')
   performance = predictor.evaluate(test_data)

See the `AutoGluon Website <http://autogluon.mxnet.io/index.html>`__ for
instructions on: - `Installing
AutoGluon <http://autogluon.mxnet.io/index.html#installation>`__ -
`Learning with image
data <http://autogluon.mxnet.io/tutorials/image_classification/beginner.html>`__
- `Learning with text
data <http://autogluon.mxnet.io/tutorials/text_classification/beginner.html>`__
- `Learning with data in tabular
format <http://autogluon.mxnet.io/tutorials/tabular_prediction/tabular-quickstart.html>`__
- More advanced topics such as `Neural Architecture
Search <http://autogluon.mxnet.io/tutorials/nas/index.html>`__

License
-------

This library is licensed under the Apache 2.0 License.


