SingularityNET Unsupervised Language Learning project
From now on it is assumed that you are using Linux and have anaconda3 or miniconda3 installed on your machine. Otherwise see
https://conda.io/docs/user-guide/install/linux.html
Dependencies
- Anaconda 3
- Numpy
- Pandas
- Scikit-Learn
- Jupyter notebook
- Matplotlib
- Cython
- SparseSVD
Download source code
git clone https://github.com/singnet/language-learning.git
Create virtual environment
cd ~/language-learning
conda env create -f environment.yml
Grammar Tester Installation
From language-learning directory run:
source activate ull
pip install .
If for some reason you are not using virtual environment or using Python 2.x along with Python 3.x make sure you
run pip3 instead:
pip3 install .
opencog-ull package will be installed to your virtual environment.
Command line scripts from src/cli-scripts are copied to /bin subdirectory in your virtual environment.
To uninstall the package type:
pip uninstall opencog-ull
Running command line scripts
Command line scripts (which are located in src/cli-scripts) can be run from any location. In activated virtual
environment type the name of the script you need to run.
Calling library functions from within your code
If you are going to use grammar tester from within your own code see src/samples for use cases.
Run Jupyter notebooks
cd ~/language-learning
source activate ull
jupyter notebook
Check sample notebooks in /notebooks directory.