jlertle

"""Information Retrieval metrics

Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np

jlertle

Cheatsheet: pyenv, virtualenvwrapper, and pip

Installation (for Mac OS)

Install pyenv with brew

brew update
brew install pyenv

jlertle

function Storage(name) {
  this.ready = new Promise((resolve, reject) => {
    var request = window.indexedDB.open(location.origin);

    request.onupgradeneeded = e => {
      this.db = e.target.result;
      this.db.createObjectStore('store');
    };

    request.onsuccess = e => {

jlertle

import tensorflow as tf
from tensorflow.python.platform import gfile
with tf.Session() as sess:
    model_filename ='PATH_TO_PB.pb'
    with gfile.FastGFile(model_filename, 'rb') as f:
        graph_def = tf.GraphDef()
        graph_def.ParseFromString(f.read())
        g_in = tf.import_graph_def(graph_def)
LOGDIR='/logs/tests/1/'
train_writer = tf.summary.FileWriter(LOGDIR)

jlertle

""" 
Play with saving .

Closest:
    https://github.com/tensorflow/tensorflow/issues/616#issuecomment-205620223
"""
import numpy as np

import tensorflow as tf
from tensorflow.python.platform import gfile

jlertle

brew install ffmpeg --with-chromaprint --with-fdk-aac --with-fontconfig --with-freetype --with-frei0r --with-game-music-emu --with-libass --with-libbluray --with-libbs2b --with-libcaca --with-libgsm --with-libmodplug --with-libsoxr --with-libssh --with-libvidstab --with-libvorbis --with-libvpx --with-opencore-amr --with-openh264 --with-openjpeg --with-openssl --with-opus --with-rtmpdump --with-rubberband --with-schroedinger --with-sdl2 --with-snappy --with-speex --with-tesseract --with-theora --with-tools --with-two-lame --with-wavpack --with-webp --with-x265 --with-xz --with-zeromq --with-zimg

jlertle

#code adapted from http://tillbergmann.com/blog/python-gradient-descent.html

%matplotlib inline
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from scipy import stats 

from sklearn.datasets.samples_generator import make_regression 

jlertle

# https://kubernetes.io/docs/tasks/tools/install-kubectl/#install-with-homebrew-on-macos
# https://kubernetes.io/docs/tasks/tools/install-minikube
# https://codefresh.io/kubernetes-tutorial/local-kubernetes-mac-minikube-vs-docker-desktop/

brew update
brew install docker-machine-driver-hyperkit
sudo chown root:wheel /usr/local/opt/docker-machine-driver-hyperkit/bin/docker-machine-driver-hyperkit
sudo chmod u+s /usr/local/opt/docker-machine-driver-hyperkit/bin/docker-machine-driver-hyperkit
brew cask install minikube
minikube config set vm-driver hyperkit

jlertle

# Reference:
https://www.cloudgear.net/blog/2015/5-minutes-kubernetes-setup/

# install homebrew and cask
ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

# install virtualbox
brew cask install virtualbox

# install dockertoolbox

jlertle

#!/bin/sh

if [ "$PYENV_VERSION" = "" ]
then
    name=`basename "$VIRTUAL_ENV"`
    python="$VIRTUALENV/bin/python"
else
    name=`pyenv version-name`
    python=`pyenv which python`
fi