Random Vector Accumulator

  • defined sparse vector class which only stores the non-zero values.
  • 0.67% of the corpus took 510 seconds to generate 500 dimensional embeddings.
  • the code is generating embeddings for all entities, should take around 21 hours to complete assuming linear growth with size.
Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s