Machine Learning workflow development for climate applications
cliMLe uses the Keras framework.
- Start with a brand new shell (no conda env activated):
$ conda create -n tensorflow -c conda-forge -c cdat cdat
$ source activate tensorflow
- Linux Install
$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.1-cp27-none-linux_x86_64.whl
- OSX Install
$ pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.8.0-py3-none-any.whl
- Test tensorflow :
$ python
>>> import tensorflow
>>>
- Install Keras:
$ pip install pillow h5py scikit-learn keras
- Install additional packages:
$ conda install xarray