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tulane-cmps6730 · Apr 29, 2024 · 40e6daf · 40e6daf
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Showing 3 changed files with 9 additions and 14 deletions.
diff --git a/nlp/cnn_model.h5 b/nlp/cnn_model.h5
diff --git a/nlp/tokenizer.pickle b/nlp/tokenizer.pickle
diff --git a/notebooks/Experiment-CNN-1.ipynb b/notebooks/Experiment-CNN-1.ipynb
@@ -2,38 +2,33 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 2,
    "id": "70f2a5ec-67f6-4d3c-b912-717e401fc70e",
    "metadata": {},
    "outputs": [],
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
     "import tensorflow as tf\n",
-    "import keras as keras\n",
     "import matplotlib.pyplot as plt\n",
     "import random\n",
     "from tensorflow.keras.models import Sequential\n",
-    "from tensorflow.keras.layers import Embedding, Flatten, Dense\n",
-    "from sklearn.model_selection import GridSearchCV\n",
-    "from tensorflow.keras.wrappers.scikit_learn import KerasClassifier\n",
-    "from tensorflow.keras.optimizers.legacy import Adam\n",
+    "from tensorflow.keras.layers import Embedding, Flatten, Dense, Conv1D, MaxPooling1D, GlobalMaxPooling1D, Dropout\n",
+    "from tensorflow.keras.optimizers import Adam\n",
     "from tensorflow.keras.preprocessing.text import Tokenizer\n",
     "from tensorflow.keras.preprocessing.sequence import pad_sequences\n",
-    "from sklearn.preprocessing import LabelEncoder\n",
-    "from sklearn.metrics import classification_report\n",
-    "from tensorflow.keras import layers\n",
-    "from keras.layers import Conv1D, MaxPooling1D, GlobalMaxPooling1D, Dropout\n",
+    "from tensorflow.keras.wrappers.scikit_learn import KerasClassifier\n",
     "from tensorflow.keras.callbacks import EarlyStopping\n",
     "from tensorflow.keras.regularizers import l2\n",
-    "from sklearn.metrics import f1_score, precision_score, recall_score\n",
-    "from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay\n",
+    "from sklearn.model_selection import GridSearchCV\n",
+    "from sklearn.preprocessing import LabelEncoder\n",
+    "from sklearn.metrics import classification_report, f1_score, precision_score, recall_score, confusion_matrix, ConfusionMatrixDisplay\n",
     "import pickle"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 3,
    "id": "7acbbe88-4550-41d6-b0bb-ede002bc4e0b",
    "metadata": {},
    "outputs": [],
@@ -45,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 4,
    "id": "1eac01e8-3c62-469b-96ea-d4babd8f9348",
    "metadata": {},
    "outputs": [