eerwitt

# Typical setup to include TensorFlow.
import tensorflow as tf

# Make a queue of file names including all the JPEG images files in the relative
# image directory.
filename_queue = tf.train.string_input_producer(
    tf.train.match_filenames_once("./images/*.jpg"))

# Read an entire image file which is required since they're JPEGs, if the images
# are too large they could be split in advance to smaller files or use the Fixed

massahud

1. Get node binary (node.exe) from http://nodejs.org/download/
2. Create the folder where node will reside and move node.exe to it
3. Download the last zip version of npm from http://nodejs.org/dist/npm
4. Unpack the zip inside the node folder
5. Download the last tgz version of npm from http://nodejs.org/dist/npm
6. Open the tgz file and unpack only the file bin/npm (without extension) directly on the node folder.
7. Add the the node folder and the packages/bin folder to PATH
8. On a command prompt execute npm install -g npm to update npm to the latest version

Now you can use npm and node from windows cmd or from bash shell like Git Bash of msysgit.

bwhite

"""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