Nath

Agent_class.ipynb

@@ -0,0 +1,95 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "e7d149b5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "8fe2fda3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Agent():\n",
+    "    def __init__(self, balance, performance, portfolio, stock_worth):\n",
+    "        self.balance = balance\n",
+    "        self.performance = performance\n",
+    "        self.portfolio = portfolio\n",
+    "        self.stock_worth = stock_worth\n",
+    "        \n",
+    "    def action(self, stock_tensor):\n",
+    "        action_list = []\n",
+    "        stock_array = np.array(stock_tensor)\n",
+    "        actionMap = {0:0,1:1,2:2}\n",
+    "        for stock in stock_array:\n",
+    "            action_list.append(actionMap[stock.argmax()])         \n",
+    "        return action_list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "c14c6302",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\nTesting\\n\\nmy_agent = Agent(1,2,3,4)\\nstock_tensor = np.array([[0.1,0.5,0.3],[0.6,0.5,0.3],[0.1,0.2,0.3],[0.1,0.5,0.9],[0.1,0.1,0.3],[0.1,0.8,0.3],[0.8,0.5,0.3]])\\n\\nprint(my_agent.action(stock_tensor))\\n\\n'"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "'''\n",
+    "Testing\n",
+    "\n",
+    "my_agent = Agent(1,2,3,4)\n",
+    "stock_tensor = np.array([[0.1,0.5,0.3],[0.6,0.5,0.3],[0.1,0.2,0.3],[0.1,0.5,0.9],[0.1,0.1,0.3],[0.1,0.8,0.3],[0.8,0.5,0.3]])\n",
+    "\n",
+    "print(my_agent.action(stock_tensor))\n",
+    "\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d646e41e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.9.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}