py27 windows tests (#199)

.appveyor.yml

@@ -3,7 +3,9 @@ build: false
 environment:
   matrix:
     - PYTHON_VERSION: 3.6
-      MINICONDA: C:\Miniconda36-x64
+      MINICONDA: C:/Miniconda36-x64
+    - PYTHON_VERSION: 2.7
+      MINICONDA: C:/Miniconda-x64
 
 init:
   - ECHO %PYTHON_VERSION% %MINICONDA%
@@ -19,4 +21,4 @@ install:
   - pip install nose-exclude
 
 test_script:
-  - nosetests -s -v --exclude-dir=mlxtend/tf_classifier --exclude-dir=mlxtend/tf_regressor --exclude-dir=mlxtend/tf_cluster --exclude-dir=mlxtend/plotting
+  - nosetests -s -v --exclude-dir=mlxtend/plotting

README.md

@@ -40,17 +40,6 @@ Sebastian Raschka 2014-2017
 <br>
 
 
-<hr>
-## Recent changes
-
-- Sequential Feature Selection algorithms: [SFS](http://rasbt.github.io/mlxtend/docs/feature_selection/sequential_forward_selection/), [SFFS](http://rasbt.github.io/mlxtend/docs/feature_selection/sequential_floating_forward_selection/), and [SFBS](http://rasbt.github.io/mlxtend/docs/feature_selection/sequential_floating_backward_selection/)
-- [Neural Network / Multilayer Perceptron classifier](http://rasbt.github.io/mlxtend/docs/classifier/neuralnet_mlp/)
-- [Ordinary least square regression](http://rasbt.github.io/mlxtend/docs/regression/linear_regression/) using different solvers (gradient and stochastic gradient descent, and the closed form solution)
-
-<hr>
-<br>
-
-
 ## Installing mlxtend
 
 #### PyPI

mlxtend/utils/tests/test_checking_inputs.py

@@ -8,6 +8,7 @@ from mlxtend.utils import assert_raises
 from mlxtend.utils import check_Xy
 import numpy as np
 import sys
+import os
 
 y = np.array([1, 2, 3, 4])
 X = np.array([[1., 2.], [3., 4.], [5., 6.], [7., 8.]])
@@ -63,16 +64,24 @@ def test_invalid_dtype_y():
 
 
 def test_invalid_dim_y():
+    if sys.version_info[:2] == (2, 7) and os.name == 'nt':
+        s = 'y must be a 1D array. Found (4L, 2L)'
+    else:
+        s = 'y must be a 1D array. Found (4, 2)'
     assert_raises(ValueError,
-                  'y must be a 1D array. Found (4, 2)',
+                  s,
                   check_Xy,
                   X,
                   X.astype(np.integer))
 
 
 def test_invalid_dim_X():
+    if sys.version_info[:2] == (2, 7) and os.name == 'nt':
+        s = 'X must be a 2D array. Found (4L,)'
+    else:
+        s = 'X must be a 2D array. Found (4,)'
     assert_raises(ValueError,
-                  'X must be a 2D array. Found (4,)',
+                  s,
                   check_Xy,
                   y,
                   y)