Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
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// Usage: | |
// Copy and paste all of this into a debug console window of the "Who is Hiring?" comment thread | |
// then use as follows: | |
// | |
// query(term | [term, term, ...], term | [term, term, ...], ...) | |
// | |
// When arguments are in an array then that means an "or" and when they are seperate that means "and" | |
// | |
// Term is of the format: | |
// ((-)text/RegExp) ( '-' means negation ) |
# (C) Mathieu Blondel, November 2013 | |
# License: BSD 3 clause | |
import numpy as np | |
def ranking_precision_score(y_true, y_score, k=10): | |
"""Precision at rank k | |
Parameters |
ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats
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#!/usr/bin/env python | |
# -*- coding: utf-8 -*- | |
def archive_to_bytes(archive): | |
def to_seconds(s): | |
SECONDS_IN_A = { | |
's': 1, | |
'm': 1 * 60, | |
'h': 1 * 60 * 60, |
#!/usr/bin/luajit | |
local M = {} | |
local ffi = require "ffi" | |
ffi.cdef[[ | |
/* | |
LZ4_compress() : | |
isize : is the input size. Max supported value is ~1.9GB | |
return : the number of bytes written in buffer dest |