cancan101

import os
os.environ['THEANO_FLAGS']="optimizer_including=conv_fft_valid:conv_fft_full"

from pylearn2.config import yaml_parse
from pylearn2.datasets.dense_design_matrix import DenseDesignMatrix
import numpy as np


train_str = """!obj:pylearn2.train.Train {
    dataset: &train !import '__main__ .train_set',

cancan101

import os
os.environ['PYLEARN2_DATA_PATH'] = '/home/ubuntu/data'

import numpy as np
import cv2

from pylearn2.config import yaml_parse
from pylearn2.datasets.mnist import MNIST
from pylearn2.datasets import preprocessing

cancan101

cancan101

diff --git a/nolearn/lasagne.py b/nolearn/lasagne.py
index 5c2c64c..86f2e7a 100644
--- a/nolearn/lasagne.py
+++ b/nolearn/lasagne.py
@@ -22,7 +22,21 @@ from theano import tensor as T
 
 
 class _list(list):
-    pass
+    def set_params(self, **params):

cancan101

sudo: true
language: python
cache:
  directories:
    - $HOME/.cache/pip
python:
 - '2.7'
env:
 - SERVICE=s1
 - SERVICE=s2

cancan101

import sqlite3
import threading

db = sqlite3.connect(":memory:", check_same_thread=False)
CREATE_NON_LINKED_TABLE = 'CREATE TABLE IF NOT EXISTS %s (id INTEGER PRIMARY KEY AUTOINCREMENT, original, cleaned, UNIQUE(original))'
CREATE_LINKED_TABLE = 'CREATE TABLE IF NOT EXISTS %s (id INTEGER PRIMARY KEY AUTOINCREMENT, original, cleaned, study INTEGER, UNIQUE(original, study), FOREIGN KEY(study) REFERENCES studyinstanceuid(id))'
db.isolation_level = None
db.execute(CREATE_NON_LINKED_TABLE % 'studyinstanceuid')

db.execute(CREATE_LINKED_TABLE % 'patientsname')

cancan101

{
   "swaggerVersion": "1.2",
   "apis": [

      {
         "operations": [

            {
               "parameters": [
                  {

cancan101

{
   "swaggerVersion": "1.2",
   "apis": [

      {
         "operations": [

            {
               "parameters": [
                  {

cancan101

#!/bin/sh
"exec" "python" "-u" "--" "$0" "$@"


import os
import sys
import time


class ForceIOStream:

cancan101

# Note – this is not a bash script (some of the steps require reboot)
# I named it .sh just so Github does correct syntax highlighting.
#
# This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5
#
# The CUDA part is mostly based on this excellent blog post:
# http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/

# Install various packages
sudo apt-get update