fix: examples updated

Author: cosmic-cortex

docs/source/content/query_strategies/information_density.ipynb

@@ -35,11 +35,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from modAL.density import similarize_distance, information_density\n",
-    "from scipy.spatial.distance import euclidean\n",
+    "from modAL.density import information_density\n",
     "\n",
-    "cosine_density = information_density(X)\n",
-    "euclidean_density = information_density(X, similarize_distance(euclidean))"
+    "cosine_density = information_density(X, 'cosine')\n",
+    "euclidean_density = information_density(X, 'euclidean')"
    ]
   },
   {

examples/information_density.py

@@ -1,13 +1,12 @@
 import matplotlib.pyplot as plt
 
-from modAL.density import similarize_distance, information_density
+from modAL.density import information_density
 from sklearn.datasets import make_blobs
-from scipy.spatial.distance import euclidean
 
 X, y = make_blobs(n_features=2, n_samples=1000, centers=3, random_state=0, cluster_std=0.7)
 
-cosine_density = information_density(X)
-euclidean_density = information_density(X, similarize_distance(euclidean))
+cosine_density = information_density(X, 'cosine')
+euclidean_density = information_density(X, 'euclidean')
 
 # visualizing the cosine and euclidean information density
 with plt.style.context('seaborn-white'):