MartinThoma

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import os
from os.path import isfile, join
from math import log10, ceil


def get_files(folder):
    onlyfiles = [f for f in os.listdir(folder) if isfile(join(folder, f))]

MartinThoma

#!/usr/bin/env python

"""Create text files of different sizes with random content."""

import random
import string
import logging
import sys

logging.basicConfig(format='%(asctime)s %(levelname)s %(message)s',

MartinThoma

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""
Transform contents of
http://www.saai.macbay.de/saai/bestaende_aichele_manfred.html
into a new format so that it get on kit.edu
"""

from __future__ import unicode_literals

MartinThoma

import scipy.io
import lasagne
import theano
import theano.tensor as T
import numpy as np
import time

import logging

logger = logging.getLogger('')

MartinThoma

MartinThoma

#!/usr/bin/env python

"""Neural Network to decide for numbers in 0..15 if they are divisble by
   2, 3, both or none.
"""

import lasagne
from lasagne import layers
from lasagne.updates import nesterov_momentum
from nolearn.lasagne import NeuralNet

MartinThoma

Traceback (most recent call last):
  File "multilabel.py", line 55, in <module>
    nn_example()
  File "multilabel.py", line 49, in nn_example
    net1.fit(feature_vectors, labels)
  File "/usr/local/lib/python2.7/dist-packages/nolearn-0.6adev-py2.7.egg/nolearn/lasagne/base.py", line 321, in fit
    self.train_loop(X, y)
  File "/usr/local/lib/python2.7/dist-packages/nolearn-0.6adev-py2.7.egg/nolearn/lasagne/base.py", line 328, in train_loop
    X, y, self.eval_size)
  File "/usr/local/lib/python2.7/dist-packages/nolearn-0.6adev-py2.7.egg/nolearn/lasagne/base.py", line 448, in train_test_split

MartinThoma

============================= test session starts ==============================
platform linux2 -- Python 2.7.6 -- py-1.4.30 -- pytest-2.7.2 -- /usr/bin/python
cachedir: /home/moose/GitHub/Lasagne/.cache
rootdir: /home/moose/GitHub/Lasagne, inifile: setup.cfg
plugins: cov, cache, pep8
collecting ... collected 720 items

lasagne/__init__.py PASSED
lasagne/conftest.py PASSED
lasagne/init.py PASSED

MartinThoma

lasagne/tests/test_nonlinearities.py::TestNonlinearities::test_nonlinearity[softmax] FAILED

========================================================================= FAILURES ==========================================================================
_______________________________________________________ TestNonlinearities.test_nonlinearity[softmax] _______________________________________________________

self = <test_nonlinearities.TestNonlinearities object at 0x7f7fba3b0850>, nonlinearity = 'softmax'

    @pytest.mark.parametrize('nonlinearity',
                             ['linear', 'rectify',
                              'leaky_rectify', 'sigmoid',

MartinThoma

============================= test session starts ==============================
platform linux2 -- Python 2.7.6 -- py-1.4.30 -- pytest-2.7.2 -- /usr/bin/python
cachedir: /home/moose/GitHub/Lasagne/.cache
rootdir: /home/moose/GitHub/Lasagne, inifile: setup.cfg
plugins: cov, cache, pep8
collecting ... collected 714 items

lasagne/__init__.py SKIPPED
lasagne/conftest.py SKIPPED
lasagne/init.py SKIPPED