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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):

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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

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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',

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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',

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[default]
library_dirs = /usr/local/lib
[atlas]
atlas_libs = openblas
library_dirs = /usr/local/lib
[lapack]
lapack_libs = openblas
library_dirs = /usr/local/lib
[openblas]
libraries = openblas

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def get_state_v1(state):
    url = make_url(state)

    IN = load_gif_url(url)

    #Drop the text at the top
    IN = IN[150:]

    #Convert 3 color channels to 1
    IN_bw = get_bw(IN)