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# Efficient passive aggressive updates for multi-class classification | |
# | |
# Original article: | |
# "Column squishing for multiclass updates" | |
# https://nlpers.blogspot.com/2017/08/column-squishing-for-multiclass-updates.html | |
from __future__ import division | |
import numpy as np | |
import scipy.optimize |
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import com.twitter.scalding._ | |
import com.twitter.algebird.{ MinHasher, MinHasher32, MinHashSignature } | |
/** | |
* Computes similar items (with a string itemId), based on approximate | |
* Jaccard similarity, using LSH. | |
* | |
* Assumes an input data TSV file of the following format: | |
* | |
* itemId userId |
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#!/bin/bash | |
# | |
# Steam installer for Debian wheezy (32- and 64-bit) | |
# | |
# Place into empty directory and run. | |
# | |
download() { | |
local url="$1" | |
local filename="$(basename "$url")" |