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gatapia / sqlappender.sql
Created May 10, 2011 20:57
A better, faster SQL Server and Azure log appender for log4net
using System;
using System.Collections.Generic;
using System.Data;
using System.Data.SqlClient;
using System.IO;
using System.Linq;
using log4net.Appender;
using log4net.Core;
using log4net.Layout;
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gatapia / poc_duration.ipynb
Created April 13, 2018 02:13
What is the optimal length of a machine learning proof of concept project
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gatapia / PicNetCommandLineRunner.java
Created October 18, 2011 19:54
PicNet Closure Compiler - Ignoring the goog namespace and the externs.zip
package picnet.closurecompiler;
import java.util.Collection;
import java.util.Map;
import java.util.Set;
import java.util.Map.Entry;
import picnet.closurecompiler.pass.*;
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gatapia / Drag.html
Created September 14, 2011 01:51 — forked from mattpodwysocki/Drag.html
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" >
<head>
<title>Drag example</title>
<script src="http://code.jquery.com/jquery-latest.js"></script>
<script src="http://jeffrey.reactiveextensions.net/rx.js" type="text/javascript"></script>
<script src="http://jeffrey.reactiveextensions.net/rx.jQuery.js" type="text/javascript"></script>
<script type="text/javascript">
function drag(dragTarget) {
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gatapia / dead_lock.py
Created April 28, 2014 06:22
A python script that causes deadlocks in ipython
import sklearn as sk
import numpy as np
import pandas as pd
import scipy as scipy
import cPickle as pickle
import math
from collections import Counter
from sklearn.cross_validation import train_test_split
from sklearn.cross_validation import cross_val_score
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gatapia / bug.py
Created April 28, 2014 02:27
Python script to reproduce bug: https://github.com/scikit-learn/scikit-learn/issues/2908#issuecomment-41483954
import sklearn as sk
import numpy as np
import scipy as scipy
import cPickle as pickle
from sklearn.cross_validation import cross_val_score
from sklearn.cross_validation import ShuffleSplit
from scipy.stats import sem
# Models