new visualizations added for Michael

complexity.py

@@ -119,8 +119,8 @@ def main():
 
     # experiments.append('moons')
     # datasets.append((u.hastie(1000), u.hastie(1000)))
-    datasets.append((make_gaussian_quantiles(n_samples=500, n_features=10, n_classes=3),
-                     make_gaussian_quantiles(n_samples=500, n_features=10, n_classes=3)))
+    datasets.append((make_gaussian_quantiles(cov=0.5, n_samples=50, n_features=10, n_classes=2),
+                     make_gaussian_quantiles(n_samples=50, n_features=10, n_classes=2)))
     experiments.append('gauus')
 
     active(classifiers=clfs, datasets=datasets, experiments=experiments)

visuals.py

@@ -0,0 +1,28 @@
+import matplotlib.pyplot as plt
+from sklearn.datasets import  make_blobs
+import numpy as np
+
+Xs, ys = make_blobs(300, centers=[[0, 0], [0, 1]], cluster_std=0.1)
+Xt, yt = make_blobs(300, centers=[[1, -1], [1, 0]], cluster_std=0.2)
+
+figure = plt.figure(figsize=(27, 13))
+grid_size = (1, 2)
+ax = plt.subplot2grid(grid_size, (0, 0))
+
+ax.set_title('Dist 1')
+X1, y1 = make_blobs(300, centers=[[0, 0], [0, 1]], cluster_std=0.1)
+X2, y2 = make_blobs(300, centers=[[1, -1], [1, 0]], cluster_std=0.1)
+X=np.vstack((X1,X2))
+y=np.hstack((y1,y2))
+ax.scatter(X[:,0], X[:,1], c=y, cmap='cool', alpha=0.4)
+ax = plt.subplot2grid(grid_size, (0, 1))
+
+ax.set_title('Dist 2')
+X1, y1 = make_blobs(300, centers=[[0, 0.5], [0, 1]], cluster_std=0.1)
+X2, y2 = make_blobs(300, centers=[[1, -1], [1, 0]], cluster_std=0.2)
+X3, y3 = make_blobs(300, centers=[[0.4, 0.9], [0, 1]], cluster_std=0.06)
+X=np.vstack((X1,X2,X3))
+y=np.hstack((y1,y2,y3))
+plt.scatter(X[:,0], X[:,1], c=y, cmap='cool', alpha=0.4)
+figure.savefig(filename='vis/idea.png')
+plt.show()