lucgiffon

import numpy as np
import tensorflow as tf

__author__ = "Sangwoong Yoon"

def np_to_tfrecords(X, Y, file_path_prefix, verbose=True):
    """
    Converts a Numpy array (or two Numpy arrays) into a tfrecord file.
    For supervised learning, feed training inputs to X and training labels to Y.
    For unsupervised learning, only feed training inputs to X, and feed None to Y.

lucgiffon

import os
import struct
import numpy as np

"""
Loosely inspired by http://abel.ee.ucla.edu/cvxopt/_downloads/mnist.py
which is GPL licensed.
"""

def read(dataset = "training", path = "."):

lucgiffon

'''
Implementation of Fastfood (Le, Sarlos, and Smola, ICML 2013).

Primarily by @esc (Valentin Haenel) and felixmaximilian
from https://github.com/scikit-learn/scikit-learn/pull/3665.

Modified by @dougalsutherland.

FHT implementation was "inspired by" https://github.com/nbarbey/fht.
'''

lucgiffon

git branch -m old_branch new_branch         # Rename branch locally    
git push origin :old_branch                 # Delete the old branch    
git push --set-upstream origin new_branch   # Push the new branch, set local branch to track the new remote

lucgiffon

#!/usr/bin/env python
# vim: set fileencoding=utf8 :
"""Singleton Mixin"""

class Singleton(object):
    """Singleton Mixin Class

    Inherit this class and make the subclass Singleton.

    Usage: