Ludwig is a Python tool for code-free deep learning.
To follow, one needs a laptop with Miniconda (a minimal version of Anaconda) and Ludwig installed.
Please go to the Anaconda website. Download and install the latest Miniconda version for Python 3.6 for your operating system.
wget <http:// link to miniconda>
sh <miniconda .sh>
After that, type:
conda --help
Copy following into a file named environment.yaml
:
name: hello-ludwig
channels:
- conda-forge
dependencies:
- python=3.6
- pip:
- ludwig
- jupyter
then do:
conda env create -f environment.yml
source activate hello-ludwig
To make newly created miniconda environment visible in the Jupyter, install ipykernel:
python -m ipykernel install --user --name hello-ludwig --display-name "Hello, Ludwig"
https://uber.github.io/ludwig/user_guide/
We will be looking into text classification and time series forecasting examples closely following https://uber.github.io/ludwig/examples/
#export KMP_DUPLICATE_LIB_OK=True