Logistic regression model with different versions

logreg_1_0_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:93b1c50eadf8ff94f9a87e5aa24181226c7c1a874100d628f7bcb9970098b108
+size 991

requirements.txt

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+joblib==1.2.0
+numpy==1.24.0
+pandas==1.5.2
+python-dateutil==2.8.2
+pytz==2022.7
+scikit-learn==1.0
+scipy==1.9.3
+six==1.16.0
+threadpoolctl==3.1.0

requirements2.txt

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+joblib==1.2.0
+numpy==1.24.0
+pandas==1.5.2
+python-dateutil==2.8.2
+pytz==2022.7
+scikit-learn==1.1.0
+scipy==1.9.3
+six==1.16.0
+threadpoolctl==3.1.0

sk_1_1.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Import important libraries\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "\n",
+    "#Model saving\n",
+    "import pickle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/ipinmi/Desktop/hugging_face/sklearn_1_1/lib/python3.10/site-packages/sklearn/base.py:329: UserWarning: Trying to unpickle estimator LogisticRegression from version 1.0 when using version 1.1.0. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
+      "https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Load Model from version 1.0\n",
+    "filePath = \"logreg_1_0_model.pkl\"\n",
+    "\n",
+    "with open(filePath, \"rb\") as file:\n",
+    "    logreg_model = pickle.load(file)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "sklearn_1_1",
+   "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": "3.10.2"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "8adb9513855e895f6a0284d0176802441835b96b96bae97ff79cda37d822e792"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}