Table 1 Parameters of Word2Vec model
From: MSCFS: inferring circRNA functional similarity based on multiple data sources
Parameter | Definition | Default value |
|---|---|---|
sg | Choice of training algorithm (sg = 1:skip gram; sg = 0:CBOW) | 1 |
\(min\_count\) | Words with frequency lower than this value will be ignored | 1 |
size | Dimension of the obtained vectors | 200 |
window | Maximum distance between the current and the predicted word | 10 |
iter | Number of iterations | 5 |
negative | Whether negative sampling will be used and how many ’noise words’ would be drawn | 4 |