Christoph Schwienheer chssch
tokestermw
/ machine_learned_index.py
Last active
April 9, 2019 08:41
Using deep learning to approximate a B-Tree index from this paper: https://arxiv.org/abs/1712.01208 (The Case for Learned Index Structures)
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| import click | |
| import torch | |
| import torch.autograd | |
| import torch.nn.functional as F | |
| from torch.autograd import Variable | |
| import os | |
| import random | |
| import math |
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| // Based off example code from Hal Robertson | |
| // https://github.com/halrobertson/test-restify-passport-facebook | |
| // See discussion: https://groups.google.com/forum/?fromgroups#!topic/passportjs/zCz0nXB_gao | |
| var restify = require('restify') | |
| // config vars | |
| var FB_LOGIN_PATH = '/api/facebook_login' | |
| var FB_CALLBACK_PATH = '/api/facebook_callback' | |
| var FB_APPID = '<<YOUR APPID HERE>>' |