smaller model

added scatter plot

Author: pierinim

RTA_Workshop/ECAL_laser.ipynb

@@ -279,16 +279,16 @@
     "inputLayer = Input(shape=(X_train.shape[1],))\n",
     "x = BatchNormalization()(inputLayer)\n",
     "#\n",
-    "x = Dense(100, kernel_initializer='lecun_uniform', name='dense_relu1')(x)\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(50, kernel_initializer='lecun_uniform', name='dense_relu2')(x)\n",
+    "x = Dense(10, kernel_initializer='lecun_uniform', name='dense_relu2')(x)\n",
     "x = BatchNormalization()(x)\n",
     "x = Activation(\"relu\")(x)#\n",
     "x = Dense(30, kernel_initializer='lecun_uniform', name='dense_relu3')(x)\n",
     "#\n",
-    "x = Dense(10, kernel_initializer='lecun_uniform', name='dense_relu4')(x)\n",
+    "x = Dense(5, kernel_initializer='lecun_uniform', name='dense_relu4')(x)\n",
     "x = BatchNormalization()(x)\n",
     "x = Activation(\"relu\")(x)\n",
     "#\n",
@@ -359,7 +359,7 @@
    "outputs": [],
    "source": [
     "# true distribution\n",
-    "plt.plot(TimeY_test,Y_test, label = \"True\")\n",
+    "plt.scatter(TimeY_test,Y_test, label = \"True\")\n",
     "plt.ylabel('Transparency')\n",
     "plt.xlabel('Time')\n",
     "plt.show()\n",
@@ -373,6 +373,15 @@
     "plt.ylim((0.5,1))\n",
     "plt.show()\n",
     "\n",
+    "# true distribution\n",
+    "plt.scatter(TimeY_test,Y_test, label = \"True\", alpha=0.5)\n",
+    "plt.scatter(TimeY_test,Y_hat, label = \"Predicted\", alpha=0.5)\n",
+    "plt.ylabel('Transparency')\n",
+    "plt.xlabel('Time')\n",
+    "plt.legend()\n",
+    "plt.ylim((0.5,1))\n",
+    "plt.show()\n",
+    "\n",
     "\n",
     "plt.plot(TimeY_test,Y_test-Y_hat, label = \"Residual\")\n",
     "plt.ylabel('Transparency Residual')\n",