MLWave

# Author: HJ van Veen <info@mlwave.com>
# Description: Experiment to learn a tSNE transformer for new 
#              test data with a multi-output GBM
#
# Idea first seen at lvdmaaten.github.io/tsne
# > [...] it is not possible to embed test points in an existing 
# > map [...]
# > A potential approach to deal with this would be to train 
# > a multivariate regressor to predict the map location from 
# > the input data.

tammoippen

import numpy as np

def crappyhist(a, bins=50, width=140):
    h, b = np.histogram(a, bins)

    for i in range (0, bins):
        print('{:12.5f}  | {:{width}s} {}'.format(
            b[i], 
            '#'*int(width*h[i]/np.amax(h)), 
            h[i], 

marick

Around 2006-2007, it was a bit of a fashion to hook lava lamps up to the build server. Normally, the green lava lamp would be on, but if the build failed, it would turn off and the red lava lamp would turn on.

By coincidence, I've actually met, about that time, (probably) the first person to hook up a lava lamp to a build server. It was Alberto Savoia, who'd founded a testing tools company (that did some very interesting things around generative testing that have basically never been noticed). Alberto had noticed that people did not react with any urgency when the build broke. They'd check in broken code and go off to something else, only reacting to the breakage they'd caused when some other programmer pulled the change and had problems.

alanzeino

LLDB Debugging Cheat Sheet

Commands

LLDB Commands

LLDB comes with a great set of commands for powerful debugging.

help

Your starting point for anything. Type help to get a list of all commands, plus any user installed ones. Type 'help for more information on a command. Type help to get help for a specific option in a command too.

slaypni

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

import sys
import math

import numpy as np

sys.path.append('xgboost/wrapper/')
import xgboost as xgb

danharper

// note there may be a better way to abuse flexbox than this :)

var React = require('react-native')
var { View, TextInput } = React

var BorderedInput = React.createClass({

  getInitialState() {
    return { i: 0 }
  },

marketcalls

//
// @author LazyBear
//
// If you use this code in its original/modified form, do drop me a note. 
//
study(title="WaveTrend [LazyBear]", shorttitle="WT_LB")
n1 = input(10, "Channel Length")
n2 = input(21, "Average Length")
obLevel1 = input(60, "Over Bought Level 1")
obLevel2 = input(53, "Over Bought Level 2")

mblondel

"""
Multiclass SVMs (Crammer-Singer formulation).

A pure Python re-implementation of:

Large-scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex.
Mathieu Blondel, Akinori Fujino, and Naonori Ueda.
ICPR 2014.
http://www.mblondel.org/publications/mblondel-icpr2014.pdf
"""

emilsoman

Tmux layouts with tmuxinator

Finally this time, I'm sold on tmux after I used tmuxinator to configure tmux layouts. The default layout didn't work for me, I wanted more control on the split panes. Here's how you can fine tune your tmux layout:

1. Add this to your ~/.tmux.conf -> set -g mouse-resize-pane on
2. Start tmux, split panes, resize panes with mouse to your liking
3. On your shell, run tmux list-windows to list active tmux windows and their layouts
4. Copy paste the layout in tmuxinator project file

CamDavidsonPilon

{
  "lines.linewidth": 2.0,
  "examples.download": true,
  "patch.linewidth": 0.5,
  "legend.fancybox": true,
  "axes.color_cycle": [
    "#30a2da",
    "#fc4f30",
    "#e5ae38",
    "#6d904f",