pablete

The Delaunay triangulation, the dual of Voronoi tesselation, creates a planar, triangular mesh for a given set of points. This example updates the Delaunay triangulation in response to mouse interaction! Colors by Cynthia Brewer; algorithm by Steven Fortune; implementation based on work by Nicolas Garcia Belmonte; interaction inspired by Raymond Hill.

pablete

(function() {
    var url = ["cdn.jsdelivr.net/velocity/1.1.0/velocity.min.js","cdn.jsdelivr.net/velocity/1.1.0/velocity.ui.min.js"];
    for(var i=0; i < url.length; i++){
      var v = document.createElement('script'); v.type = 'text/javascript'; v.async = true;
      v.src = ('https:' == document.location.protocol ? 'https://' : 'http://') + url[i];
      var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(v, s);
    }
  })();

pablete

""" Poisson-loss Factorization Machines with Numba

Follows the vanilla FM model from:
Steffen Rendle (2012): Factorization Machines with libFM.
In: ACM Trans. Intell. Syst. Technol., 3(3), May.
http://doi.acm.org/10.1145/2168752.2168771

See also: https://github.com/coreylynch/pyFM
"""

pablete

html,body,#wrapper {
	width: 100%;
	height: 100%;
	margin: 0px;
}

.chart {
	font-family: Arial, sans-serif;
	font-size: 12px;
}

pablete

        val uri = "http://www.yahoo.com"
        val reqEntity = Array[Byte]()

        val respEntity = for {
          request <- Marshal(reqEntity).to[RequestEntity]
          response <- Http().singleRequest(HttpRequest(method = HttpMethods.POST, uri = uri, entity = request))
          entity <- Unmarshal(response.entity).to[ByteString]
        } yield entity

        val payload = respEntity.andThen {

pablete

Last updated: 2017-03-18

Searching for Files

Find images in a directory that don't have a DateTimeOriginal

exiftool -filename -filemodifydate -createdate -r -if '(not $datetimeoriginal) and $filetype eq "JPEG"' .

###Output photos that don't have datetimeoriginal to a CSV### Note this can take a long time if you have a lot of jpgs

pablete

from sklearn.datasets import load_boston
import pandas as pd

import xgboost as xgb
from tensorboard_logger import configure, log_value
from sklearn.cross_validation import train_test_split


def logspy(env):
    log_value("train", env.evaluation_result_list[0][1], step=env.iteration)

pablete

ruby '2.7.1'

gem 'rails', github: 'rails/rails'
gem 'tzinfo-data', '>= 1.2016.7'  # Don't rely on OSX/Linux timezone data

# Action Text
gem 'actiontext', github: 'basecamp/actiontext', ref: 'okra'
gem 'okra', github: 'basecamp/okra'

# Drivers

pablete

## Java
sudo apt-get update
sudo apt-get install default-jdk

## Scala
sudo apt-get remove scala-library scala
sudo wget http://scala-lang.org/files/archive/scala-2.12.1.deb
sudo dpkg -i scala-2.12.1.deb
sudo apt-get update
sudo apt-get install scala