model_deployment.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Time', 'V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.90      0.99      0.94        97\n",
      "           1       0.99      0.89      0.94       100\n",
      "\n",
      "    accuracy                           0.94       197\n",
      "   macro avg       0.94      0.94      0.94       197\n",
      "weighted avg       0.94      0.94      0.94       197\n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.90      0.98      0.94        97\n",
      "           1       0.98      0.90      0.94       100\n",
      "\n",
      "    accuracy                           0.94       197\n",
      "   macro avg       0.94      0.94      0.94       197\n",
      "weighted avg       0.94      0.94      0.94       197\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from model import log_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from model import x_test,y_test\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_data = np.array(x_test)\n",
    "test_data_df = pd.DataFrame(test_data)\n",
    "test_data_df.to_json(\"testdata.json\",orient=\"records\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_target = np.array(y_test)\n",
    "test_target_df = pd.DataFrame(test_target)\n",
    "test_target_df.to_json(\"testtarget.json\",orient=\"records\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import joblib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['model.pkl']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "joblib.dump(log_model, 'model.pkl')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}