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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Installing Tensorflow & Importing Necessary Modules" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Requirement already satisfied: tensorflow in /opt/anaconda3/lib/python3.7/site-packages (2.0.0)\n", | |
| "Requirement already satisfied: google-pasta>=0.1.6 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (0.1.8)\n", | |
| "Requirement already satisfied: protobuf>=3.6.1 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (3.11.1)\n", | |
| "Requirement already satisfied: wheel>=0.26 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (0.33.6)\n", | |
| "Requirement already satisfied: keras-preprocessing>=1.0.5 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (1.1.0)\n", | |
| "Requirement already satisfied: tensorboard<2.1.0,>=2.0.0 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (2.0.2)\n", | |
| "Requirement already satisfied: wrapt>=1.11.1 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (1.11.2)\n", | |
| "Requirement already satisfied: keras-applications>=1.0.8 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (1.0.8)\n", | |
| "Requirement already satisfied: absl-py>=0.7.0 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (0.8.1)\n", | |
| "Requirement already satisfied: six>=1.10.0 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (1.12.0)\n", | |
| "Requirement already satisfied: astor>=0.6.0 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (0.8.0)\n", | |
| "Requirement already satisfied: gast==0.2.2 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (0.2.2)\n", | |
| "Requirement already satisfied: numpy<2.0,>=1.16.0 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (1.17.2)\n", | |
| "Requirement already satisfied: tensorflow-estimator<2.1.0,>=2.0.0 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (2.0.1)\n", | |
| "Requirement already satisfied: opt-einsum>=2.3.2 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (3.1.0)\n", | |
| "Requirement already satisfied: grpcio>=1.8.6 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (1.25.0)\n", | |
| "Requirement already satisfied: termcolor>=1.1.0 in /opt/anaconda3/lib/python3.7/site-packages (from tensorflow) (1.1.0)\n", | |
| "Requirement already satisfied: setuptools in /opt/anaconda3/lib/python3.7/site-packages (from protobuf>=3.6.1->tensorflow) (41.4.0)\n", | |
| "Requirement already satisfied: markdown>=2.6.8 in /opt/anaconda3/lib/python3.7/site-packages (from tensorboard<2.1.0,>=2.0.0->tensorflow) (3.1.1)\n", | |
| "Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /opt/anaconda3/lib/python3.7/site-packages (from tensorboard<2.1.0,>=2.0.0->tensorflow) (0.4.1)\n", | |
| "Requirement already satisfied: requests<3,>=2.21.0 in /opt/anaconda3/lib/python3.7/site-packages (from tensorboard<2.1.0,>=2.0.0->tensorflow) (2.22.0)\n", | |
| "Requirement already satisfied: werkzeug>=0.11.15 in /opt/anaconda3/lib/python3.7/site-packages (from tensorboard<2.1.0,>=2.0.0->tensorflow) (0.16.0)\n", | |
| "Requirement already satisfied: google-auth<2,>=1.6.3 in /opt/anaconda3/lib/python3.7/site-packages (from tensorboard<2.1.0,>=2.0.0->tensorflow) (1.7.2)\n", | |
| "Requirement already satisfied: h5py in /opt/anaconda3/lib/python3.7/site-packages (from keras-applications>=1.0.8->tensorflow) (2.9.0)\n", | |
| "Requirement already satisfied: requests-oauthlib>=0.7.0 in /opt/anaconda3/lib/python3.7/site-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.1.0,>=2.0.0->tensorflow) (1.3.0)\n", | |
| "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /opt/anaconda3/lib/python3.7/site-packages (from requests<3,>=2.21.0->tensorboard<2.1.0,>=2.0.0->tensorflow) (3.0.4)\n", | |
| "Requirement already satisfied: idna<2.9,>=2.5 in /opt/anaconda3/lib/python3.7/site-packages (from requests<3,>=2.21.0->tensorboard<2.1.0,>=2.0.0->tensorflow) (2.8)\n", | |
| "Requirement already satisfied: certifi>=2017.4.17 in /opt/anaconda3/lib/python3.7/site-packages (from requests<3,>=2.21.0->tensorboard<2.1.0,>=2.0.0->tensorflow) (2019.9.11)\n", | |
| "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/anaconda3/lib/python3.7/site-packages (from requests<3,>=2.21.0->tensorboard<2.1.0,>=2.0.0->tensorflow) (1.24.2)\n", | |
| "Requirement already satisfied: pyasn1-modules>=0.2.1 in /opt/anaconda3/lib/python3.7/site-packages (from google-auth<2,>=1.6.3->tensorboard<2.1.0,>=2.0.0->tensorflow) (0.2.7)\n", | |
| "Requirement already satisfied: cachetools<3.2,>=2.0.0 in /opt/anaconda3/lib/python3.7/site-packages (from google-auth<2,>=1.6.3->tensorboard<2.1.0,>=2.0.0->tensorflow) (3.1.1)\n", | |
| "Requirement already satisfied: rsa<4.1,>=3.1.4 in /opt/anaconda3/lib/python3.7/site-packages (from google-auth<2,>=1.6.3->tensorboard<2.1.0,>=2.0.0->tensorflow) (4.0)\n", | |
| "Requirement already satisfied: oauthlib>=3.0.0 in /opt/anaconda3/lib/python3.7/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.1.0,>=2.0.0->tensorflow) (3.1.0)\n", | |
| "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /opt/anaconda3/lib/python3.7/site-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard<2.1.0,>=2.0.0->tensorflow) (0.4.8)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "!pip install tensorflow" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 102 | |
| }, | |
| "colab_type": "code", | |
| "id": "SdAHqf6RNNa7", | |
| "outputId": "130d5c6c-a216-4a04-befb-5b37a2ae520b" | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Tensorflow Version : 2.0.0\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "import tensorflow as tf\n", | |
| "print(\"Tensorflow Version : \",tf.__version__)\n", | |
| "import os\n", | |
| "import re\n", | |
| "import pandas as pd" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "colab_type": "text", | |
| "id": "pmdGXxCQbQQ-" | |
| }, | |
| "source": [ | |
| "## Loading The Data" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "WT-NB_yiWHj_" | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "#Loading the training data\n", | |
| "train = pd.read_excel(\"/Users/amalnair/Documents/Amal-WorkSpace/Speech-Classifier/SpeechClassification/Data_Train.xlsx\")\n", | |
| "\n", | |
| "#We will only use a fraction (20%) of the original dataset to train the model\n", | |
| "train = train.sample(frac = 0.2)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>STORY</th>\n", | |
| " <th>SECTION</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <td>5626</td>\n", | |
| " <td>Polycab’s initial public offering (IPO) price ...</td>\n", | |
| " <td>3</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <td>2203</td>\n", | |
| " <td>BSE Midcap and BSE Smallcap indices are also u...</td>\n", | |
| " <td>3</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <td>3273</td>\n", | |
| " <td>New Delhi: Intel has introduced a new crop of ...</td>\n", | |
| " <td>1</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <td>1489</td>\n", | |
| " <td>According to sources, Aishwarya Rajesh will be...</td>\n", | |
| " <td>2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <td>5892</td>\n", | |
| " <td>For example, using the DataCultr platform, fin...</td>\n", | |
| " <td>1</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " STORY SECTION\n", | |
| "5626 Polycab’s initial public offering (IPO) price ... 3\n", | |
| "2203 BSE Midcap and BSE Smallcap indices are also u... 3\n", | |
| "3273 New Delhi: Intel has introduced a new crop of ... 1\n", | |
| "1489 According to sources, Aishwarya Rajesh will be... 2\n", | |
| "5892 For example, using the DataCultr platform, fin... 1" | |
| ] | |
| }, | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "train.head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Initializing The Classifier" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 952 | |
| }, | |
| "colab_type": "code", | |
| "id": "mBifgXJ9pCvh", | |
| "outputId": "00d12c2d-2fd7-47de-8e5f-58cc9f1440cb" | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Requirement already satisfied: simpletransformers in /opt/anaconda3/lib/python3.7/site-packages (0.10.4)\n", | |
| "Requirement already satisfied: tqdm in /opt/anaconda3/lib/python3.7/site-packages (from simpletransformers) (4.36.1)\n", | |
| "Requirement already satisfied: scikit-learn in /opt/anaconda3/lib/python3.7/site-packages (from simpletransformers) (0.21.3)\n", | |
| "Requirement already satisfied: scipy in /opt/anaconda3/lib/python3.7/site-packages (from simpletransformers) (1.3.1)\n", | |
| "Requirement already satisfied: regex in /opt/anaconda3/lib/python3.7/site-packages (from simpletransformers) (2019.11.1)\n", | |
| "Requirement already satisfied: transformers in /opt/anaconda3/lib/python3.7/site-packages (from simpletransformers) (2.2.1)\n", | |
| "Requirement already satisfied: seqeval in /opt/anaconda3/lib/python3.7/site-packages (from simpletransformers) (0.0.12)\n", | |
| "Requirement already satisfied: numpy in /opt/anaconda3/lib/python3.7/site-packages (from simpletransformers) (1.17.2)\n", | |
| "Requirement already satisfied: requests in /opt/anaconda3/lib/python3.7/site-packages (from simpletransformers) (2.22.0)\n", | |
| "Requirement already satisfied: tensorboardx in /opt/anaconda3/lib/python3.7/site-packages (from simpletransformers) (1.9)\n", | |
| "Requirement already satisfied: joblib>=0.11 in /opt/anaconda3/lib/python3.7/site-packages (from scikit-learn->simpletransformers) (0.13.2)\n", | |
| "Requirement already satisfied: sacremoses in /opt/anaconda3/lib/python3.7/site-packages (from transformers->simpletransformers) (0.0.35)\n", | |
| "Requirement already satisfied: boto3 in /opt/anaconda3/lib/python3.7/site-packages (from transformers->simpletransformers) (1.10.34)\n", | |
| "Requirement already satisfied: sentencepiece in /opt/anaconda3/lib/python3.7/site-packages (from transformers->simpletransformers) (0.1.83)\n", | |
| "Requirement already satisfied: Keras>=2.2.4 in /opt/anaconda3/lib/python3.7/site-packages (from seqeval->simpletransformers) (2.3.1)\n", | |
| "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /opt/anaconda3/lib/python3.7/site-packages (from requests->simpletransformers) (3.0.4)\n", | |
| "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/anaconda3/lib/python3.7/site-packages (from requests->simpletransformers) (1.24.2)\n", | |
| "Requirement already satisfied: certifi>=2017.4.17 in /opt/anaconda3/lib/python3.7/site-packages (from requests->simpletransformers) (2019.9.11)\n", | |
| "Requirement already satisfied: idna<2.9,>=2.5 in /opt/anaconda3/lib/python3.7/site-packages (from requests->simpletransformers) (2.8)\n", | |
| "Requirement already satisfied: protobuf>=3.8.0 in /opt/anaconda3/lib/python3.7/site-packages (from tensorboardx->simpletransformers) (3.11.1)\n", | |
| "Requirement already satisfied: six in /opt/anaconda3/lib/python3.7/site-packages (from tensorboardx->simpletransformers) (1.12.0)\n", | |
| "Requirement already satisfied: click in /opt/anaconda3/lib/python3.7/site-packages (from sacremoses->transformers->simpletransformers) (7.0)\n", | |
| "Requirement already satisfied: s3transfer<0.3.0,>=0.2.0 in /opt/anaconda3/lib/python3.7/site-packages (from boto3->transformers->simpletransformers) (0.2.1)\n", | |
| "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /opt/anaconda3/lib/python3.7/site-packages (from boto3->transformers->simpletransformers) (0.9.4)\n", | |
| "Requirement already satisfied: botocore<1.14.0,>=1.13.34 in /opt/anaconda3/lib/python3.7/site-packages (from boto3->transformers->simpletransformers) (1.13.34)\n", | |
| "Requirement already satisfied: keras-preprocessing>=1.0.5 in /opt/anaconda3/lib/python3.7/site-packages (from Keras>=2.2.4->seqeval->simpletransformers) (1.1.0)\n", | |
| "Requirement already satisfied: pyyaml in /opt/anaconda3/lib/python3.7/site-packages (from Keras>=2.2.4->seqeval->simpletransformers) (5.1.2)\n", | |
| "Requirement already satisfied: h5py in /opt/anaconda3/lib/python3.7/site-packages (from Keras>=2.2.4->seqeval->simpletransformers) (2.9.0)\n", | |
| "Requirement already satisfied: keras-applications>=1.0.6 in /opt/anaconda3/lib/python3.7/site-packages (from Keras>=2.2.4->seqeval->simpletransformers) (1.0.8)\n", | |
| "Requirement already satisfied: setuptools in /opt/anaconda3/lib/python3.7/site-packages (from protobuf>=3.8.0->tensorboardx->simpletransformers) (41.4.0)\n", | |
| "Requirement already satisfied: python-dateutil<2.8.1,>=2.1; python_version >= \"2.7\" in /opt/anaconda3/lib/python3.7/site-packages (from botocore<1.14.0,>=1.13.34->boto3->transformers->simpletransformers) (2.8.0)\n", | |
| "Requirement already satisfied: docutils<0.16,>=0.10 in /opt/anaconda3/lib/python3.7/site-packages (from botocore<1.14.0,>=1.13.34->boto3->transformers->simpletransformers) (0.15.2)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "#installing Simple Transformers\n", | |
| "!pip install simpletransformers" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "avksmD4gsU4W" | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "from simpletransformers.classification import ClassificationModel" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 85 | |
| }, | |
| "colab_type": "code", | |
| "id": "9MDW82YytO3J", | |
| "outputId": "bc36251f-0a7e-4fde-cdf1-0a611afad7aa" | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Create a ClassificationModel\n", | |
| "model = ClassificationModel('roberta', 'roberta-base', num_labels=4, use_cuda = False)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Training The Model" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 181, | |
| "referenced_widgets": [ | |
| "5054f338a1374eb6bc9665438734e624", | |
| "dd244648681e4bb5aaa3df0ab3becaa7", | |
| "2c637bcf4edf464b8286d9b4133f00d0", | |
| "8107b44d1015473a93980c2cc795bd01", | |
| "5d7c4483fc844ada915a39adc0834f86", | |
| "ac9f6923d87443d38553d922d2b03629", | |
| "330fad3a7ac7461dbeab8f2329360a92", | |
| "63f4c8109b2a4cf5a107c11e040caa85", | |
| "5071ad581336426781be10fd71cd888e", | |
| "58c94975bb6a4fb7974b6b85c46209f1", | |
| "a7ebf5759001424ebbd0597c29bbef19", | |
| "8175239d21b34f899c7d16cf7c48b877", | |
| "f93c345f67b04f1d9197de2f24cd4207", | |
| "0d0012b98e644b37887991b22fa019ee", | |
| "0595fd2727b14b06a61fea6b4d60bf14", | |
| "b39506a60ecd4da9bbb82ff84ddc0309", | |
| "7953d454437a41b0a697a14e25768375", | |
| "2e62429821df49d795b85a3e2a6d664e", | |
| "ae56a9cb868b48bd919fd9ae626b3134", | |
| "4b2f8d57f76d4aeea0772ef5fb71f3f2", | |
| "46841bf42ae34413b20cc7645254d085", | |
| "29ccee974e9145e68694098f93b51318", | |
| "1e699dc504804f40995f756b77c45edb", | |
| "9243ec82d4c743309da3133f0fad94a9" | |
| ] | |
| }, | |
| "colab_type": "code", | |
| "id": "9ZxK5prTssC7", | |
| "outputId": "5cff93b1-b2a7-4b84-c127-dc69310d07ce" | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Converting to features started.\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "5078f404b811478c8b2b276e8ad50b90", | |
| "version_major": 2, | |
| "version_minor": 0 | |
| }, | |
| "text/plain": [ | |
| "HBox(children=(IntProgress(value=0, max=1526), HTML(value='')))" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "fa18120c397e46c685c3d4d5b44a6ed3", | |
| "version_major": 2, | |
| "version_minor": 0 | |
| }, | |
| "text/plain": [ | |
| "HBox(children=(IntProgress(value=0, description='Epoch', max=1, style=ProgressStyle(description_width='initial…" | |
| ] | |
| }, | |
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| "text": [ | |
| "Running loss: 0.017636\n", | |
| "\n", | |
| "Training of roberta model complete. Saved to outputs/.\n" | |
| ] | |
| } | |
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| "model.train_model(train)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Evaluating The Model" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
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| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Converting to features started.\n" | |
| ] | |
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| "\n" | |
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| "\n" | |
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| "predictions, _ = model.predict(['Modi is the prime minister of India'])" | |
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| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 15, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0" | |
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| }, | |
| "execution_count": 15, | |
| "metadata": {}, | |
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| "source": [ | |
| "int(predictions)" | |
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| "cell_type": "code", | |
| "execution_count": 13, | |
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| "Converting to features started.\n" | |
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| "predictions2, _ = model.predict(['my phone is soo dumb and slow'])" | |
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| "cell_type": "code", | |
| "execution_count": 14, | |
| "metadata": { | |
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| "base_uri": "https://localhost:8080/", | |
| "height": 34 | |
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| "id": "-O8XrCOEtJNq", | |
| "outputId": "a7d39b00-4023-4d53-be87-cf0e20f208a4" | |
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| { | |
| "data": { | |
| "text/plain": [ | |
| "1" | |
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| "execution_count": 14, | |
| "metadata": {}, | |
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| "int(predictions2)" | |
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| "metadata": { | |
| "colab_type": "text", | |
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| }, | |
| "source": [ | |
| "## Saving & Exporting The Trained Model" | |
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| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "metadata": { | |
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| "colab_type": "code", | |
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| "import pickle" | |
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| "filename = 'News_Classifier.pkl'\n", | |
| "pickle.dump(model, open(filename, 'wb'))" | |
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