even smaller model

added a few plots

Author: pierinim

RTA_Workshop/ECAL_laser.ipynb

@@ -279,10 +279,6 @@
     "inputLayer = Input(shape=(X_train.shape[1],))\n",
     "x = BatchNormalization()(inputLayer)\n",
     "#\n",
-    "x = Dense(20, kernel_initializer='lecun_uniform', name='dense_relu1')(x)\n",
-    "x = BatchNormalization()(x)\n",
-    "x = Activation(\"relu\")(x)\n",
-    "#\n",
     "x = Dense(10, kernel_initializer='lecun_uniform', name='dense_relu2')(x)\n",
     "x = BatchNormalization()(x)\n",
     "x = Activation(\"relu\")(x)#\n",
@@ -370,7 +366,7 @@
     "plt.ylabel('Transparency')\n",
     "plt.xlabel('Time')\n",
     "plt.legend()\n",
-    "plt.ylim((0.5,1))\n",
+    "plt.ylim((0.86,0.94))\n",
     "plt.show()\n",
     "\n",
     "# true distribution\n",
@@ -379,13 +375,18 @@
     "plt.ylabel('Transparency')\n",
     "plt.xlabel('Time')\n",
     "plt.legend()\n",
-    "plt.ylim((0.5,1))\n",
+    "plt.ylim((0.86,0.94))\n",
     "plt.show()\n",
     "\n",
     "\n",
     "plt.plot(TimeY_test,Y_test-Y_hat, label = \"Residual\")\n",
     "plt.ylabel('Transparency Residual')\n",
     "plt.xlabel('Time')\n",
+    "plt.show()\n",
+    "\n",
+    "plt.plot(TimeY_test,(Y_test-Y_hat)/Y_test*100, label = \"Residual\")\n",
+    "plt.ylabel('Transparency % Error')\n",
+    "plt.xlabel('Time')\n",
     "plt.show()"
    ]
   },