Metadata-Version: 2.1
Name: vec2graph
Version: 0.2.4
Summary: Mini-library for producing graph visualizations from embedding models
Home-page: https://github.com/lizaku/vec2graph
Author: Nadezda Katricheva, Alyaxey Yaskevich, Anastasiya Lisitsina, Tamara Zhordaniya, Andrey Kutuzov, Elizaveta Kuzmenko
Author-email: andreku@ifi.uio.no
License: UNKNOWN
Description: # vec2graph
        Mini-library for producing graph visualizations from embedding models
        
        Code is available at https://github.com/lizaku/vec2graph
        
        # Usage
        
        `pip install vec2graph`
        
        `from vec2graph import visualize`
        
        `visualize(OUTPUT_DIR, MODEL, WORD)`
        
        OUTPUT_DIR is the directory to store your visualizations, MODEL is a word embedding model 
        loaded with Gensim, WORD is your query word
        
        For example:
        
        `model = gensim.models.KeyedVectors.load_word2vec_format('googlenews300.bin', binary=True)`
        
        `visualize('tmp/graphs', model, 'apple')`
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Utilities
Requires-Python: >=3
Description-Content-Type: text/markdown
