| import numpy as np | |
| def make_lsh_model(nb_tables, nb_bits, nb_dimensions, vector_sample): | |
| # vector_sample: np arr w/ shape (2 * nb_tables * nb_tables, nb_dimensions). | |
| # normals, midpoints: np arrs w/ shape (nb_bits, nb_dimensions) | |
| # thresholds: np arrs w/ shape (nb_bits) | |
| # all_normals, all_thresholds: lists w/ one normal, one threshold per table. | |
| all_normals, all_thresholds = [], [] | |
| for i in range(0, len(vector_sample), 2 * nb_bits): | |
| vector_sample_a = vector_sample[i:i + nb_bits] |
FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.
As configured in my dotfiles.
start new:
tmux
start new with session name: