Installation¶

Operating Environments¶

DACKAR can run on Microsoft Windows, Apple OSX and Linux platforms.

Clone DACKAR¶

The HTTP cloning procedure uses the following clone command:

git clone https://github.com/idaholab/DACKAR.git

The SSH cloning procedure requires the user to create a SSH key (See: https://help.github.com/articles/connecting-to-github-with-ssh/). Once the SSH key has been created, to clone DACKAR the following command can be executed:

git clone git@github.com:idaholab/DACKAR.git

Install the Required Libraries with Python 3.11¶

conda create -n dackar_libs python=3.11

conda activate dackar_libs

pip install "setuptools<82"

pip install spacy==3.5 stumpy textacy matplotlib nltk==3.8.1 coreferee beautifulsoup4 networkx pysbd tomli numerizer autocorrect pywsd==1.2.5 openpyxl quantulum3[classifier] numpy==1.26 scikit-learn pyspellchecker contextualSpellCheck pandas wordcloud jsonschema toml openai langchain langchain_openai langchain_community langchain-core ollama langchain-ollama cytoolz

Install the Required Libraries with Python 3.12¶

conda create -n dackar_libs python=3.12

conda activate dackar_libs

python -m pip install --upgrade setuptools

pip install cython

pip install "git+https://github.com/roy-ht/editdistance.git@v0.6.2"

pip install textacy spacy==3.8.11 stumpy nltk==3.8.1 matplotlib beautifulsoup4 networkx pysbd tomli numerizer autocorrect pywsd==1.2.5 openpyxl quantulum3[classifier] scikit-learn pyspellchecker contextualSpellCheck pandas wordcloud jsonschema toml openai langchain langchain_openai langchain_community langchain-core ollama langchain-ollama cytoolz

Install the Required Libraries with Python 3.13¶

conda create -n dackar_libs python=3.13

conda activate dackar_libs

pip install torch spacy==3.8.11 stumpy matplotlib nltk==3.8.1 beautifulsoup4 networkx pysbd tomli numerizer autocorrect pywsd openpyxl quantulum3[classifier] scikit-learn pyspellchecker  pandas wordcloud jsonschema toml openai langchain langchain_openai langchain_community langchain-core ollama langchain-ollama cytoolz

Install the Required Libraries with Python 3.14¶

conda create -n dackar_libs python=3.14

conda activate dackar_libs

pip install torch spacy==3.8.11 stumpy matplotlib nltk==3.8.1 beautifulsoup4 networkx pysbd tomli numerizer autocorrect pywsd openpyxl quantulum3[classifier] scikit-learn pyspellchecker  pandas wordcloud jsonschema toml openai langchain langchain_openai langchain_community langchain-core ollama langchain-ollama cytoolz

Install Additional Libraries¶

Library neo4j is a Python module that is used to communicate with Neo4j database management system, and jupyterlab is used to execute notebook examples under ./examples/ folder.

pip install neo4j jupyterlab

Download Language Model from spaCy¶

python -m spacy download en_core_web_lg

Required NLTK Data for Similarity Analysis¶

python -m nltk.downloader punkt wordnet averaged_perceptron_tagger brown

Retrain Quantulum3 Classifier (Optional)¶

quantulum3-training -s