mdn source

Author: Michael Walton

.gitignore

@@ -1,3 +1,4 @@
+.idea/
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]

example.ipynb

@@ -24,20 +24,11 @@
     "import matplotlib.pyplot as plt\n",
     "from mdn import MixtureDensityNetwork1D"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python [default]",
    "language": "python",
    "name": "python2"
   },

mdn.py

@@ -254,7 +254,7 @@ def sample_from_seed(self, seed, output_len=1):
         return X_pred
 
     def get_density(self, X, linspace, max_lookback=None):
-        ''' Compute the conditional density '''
+        ''' Compute the conditional density over a sequence '''
         if max_lookback is None:
             max_lookback = X.shape[1]
 
@@ -271,7 +271,7 @@ def get_density(self, X, linspace, max_lookback=None):
         return density
 
     def P(self, X, max_lookback=None):
-        ''' Compute the conditional density '''
+        ''' Compute the conditional likelihood over a sequence '''
         if max_lookback is None:
             max_lookback = X.shape[1]