vec2vec 0.0.2

vec2vec project

vec2vec

This repository provides a reference implementation of vec2vec, which can reduce the dimension to matrix.

Requirements

Before starting this project, you must install requirements below.

faiss==1.7.0
gensim==4.0.1
networkx==2.6.2
scikit-learn==0.24.2

Note：It's recommended that using conda to install faiss, and conda version need to update.

conda install faiss-cpu -c conda-forge

Basic Usage

1. To run vec2vec by terminal, execute the following command from the project home directory:

   python ./vec2vec/main.py --input ./vec2vec/data/train.bow
   

   You can check out the other options available by using:

   python ./vec2vec/main.py  --help
   

2. To run the vec2vec in your project, execute the following command:

   pip install vec2vec
   

Input

Refer to the ./vec2vec/data/train.bow in the project.

Output

The output are like below:

************* The number of num_walks is : 5 *******************
Matrix2vec p and q and topk: 1 1 10
The shape of the input matrix: (2000, 13155)
BuildNNGraphFromFAISS Finished in 0:00:03.305026 s.
The shape of the adjmatrix is: (2000, 2000)
Preprocess_transition_probs Finished in 0:00:00.902988 s.
Random Walk Finished in 0:00:00.590795 s.
Begin to train word2vec...
Model Matrix2vec Finished in 0:00:09.073013 s.
Accuracy：  [0.662 0.652 0.64  0.668]
Accuracy: 0.6555 (+/- 0.0212)

Miscellaneous

Please send any questions you might have about the code and/or the algorithm to [e-mail].