From feb5e7d20152e7af914838273c3beba517aa05f7 Mon Sep 17 00:00:00 2001
From: Harsh Singh <karmathecoder@gmail.com>
Date: Sat, 8 Oct 2022 13:37:51 +0530
Subject: [PATCH] predict function

---
 FakeNewsClassifierUsingBidirectionalLSTM.ipynb | 13 ++++++++-----
 FakeNewsClassifierUsingLSTM.ipynb              | 17 ++++++++++++++---
 2 files changed, 22 insertions(+), 8 deletions(-)

diff --git a/FakeNewsClassifierUsingBidirectionalLSTM.ipynb b/FakeNewsClassifierUsingBidirectionalLSTM.ipynb
index d9fb73f..cf3b8aa 100644
--- a/FakeNewsClassifierUsingBidirectionalLSTM.ipynb
+++ b/FakeNewsClassifierUsingBidirectionalLSTM.ipynb
@@ -21527,8 +21527,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
-    "y_pred1=model1.predict_classes(X_test)"
+    "#y_pred=model.predict_classes(X_test)\n",
+    "y_pred=model.predict(X_test)"
    ]
   },
   {
@@ -21536,7 +21536,10 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "# We get the probablity,so using 0.5 as threshold\n",
+    "y_pred = np.where(y_pred > 0.5, 1,0)"
+   ]
   },
   {
    "cell_type": "code",
@@ -21625,7 +21628,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -21639,7 +21642,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.9"
+   "version": "3.10.5"
   }
  },
  "nbformat": 4,
diff --git a/FakeNewsClassifierUsingLSTM.ipynb b/FakeNewsClassifierUsingLSTM.ipynb
index eb0b69f..a87e9d7 100644
--- a/FakeNewsClassifierUsingLSTM.ipynb
+++ b/FakeNewsClassifierUsingLSTM.ipynb
@@ -21480,7 +21480,18 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "y_pred=model.predict_classes(X_test)"
+    "#y_pred=model.predict_classes(X_test)\n",
+    "y_pred=model.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# We get the probablity,so using 0.5 as threshold\n",
+    "y_pred = np.where(y_pred > 0.5, 1,0)"
    ]
   },
   {
@@ -21544,7 +21555,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -21558,7 +21569,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.10.5"
   }
  },
  "nbformat": 4,