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Author: danyvarghese

examples/ancestor/Ancestor_Neg_BC

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+parent(queen_victoria,edward_seventh).
+parent(edward_seventh,george_fifth).
+parent(george_fifth,george_sixth).
+parent(george_sixth,elizabeth_second).
+parent(queen_mother,elizabeth_second).
+parent(elizabeth_second,prince_charles).
+parent(prince_philip,prince_charles).
+parent(prince_charles,prince_william).
+parent(prince_charles,prince_harry).
+parent(princess_diana,prince_william).
+parent(princess_diana,prince_harry).
+parent(prince_william,prince_george).

examples/ancestor/Ancestor_Pos_BC

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "b6680ca5-3282-4f04-aa8b-042be4a26ff1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "sys.path.insert(0, '../../')\n",
+    "from PyGol import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "0fa1e253-1f36-447e-a7e4-ffbe5ab72fd5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|███████████████████████████████████████████| 3/3 [00:00<00:00, 1543.35it/s]\n",
+      "100%|████████████████████████████████████████████| 1/1 [00:00<00:00, 974.74it/s]\n",
+      "100%|████████████████████████████████████████████| 3/3 [00:00<00:00, 790.53it/s]\n",
+      "100%|████████████████████████████████████████████| 1/1 [00:00<00:00, 339.56it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "+----------+ Hypothesis +----------+\n",
+      "['ancestor(A,B):-parent(A,B)', 'ancestor(A,B):-parent(A,C),ancestor(C,B)']\n",
+      "+----------+ Training +----------+\n",
+      "+---------------------+------------------+------------------+\n",
+      "|        n = 4        | Positive(Actual) | Negative(Actual) |\n",
+      "+=====================+==================+==================+\n",
+      "| Positive(Predicted) | 3                | 0                |\n",
+      "+---------------------+------------------+------------------+\n",
+      "| Negative(Predicted) | 0                | 1                |\n",
+      "+---------------------+------------------+------------------+\n",
+      "+-------------+---+\n",
+      "|   Metric    | # |\n",
+      "+=============+===+\n",
+      "| Accuracy    | 1 |\n",
+      "+-------------+---+\n",
+      "| Precision   | 1 |\n",
+      "+-------------+---+\n",
+      "| Sensitivity | 1 |\n",
+      "+-------------+---+\n",
+      "| Specificity | 1 |\n",
+      "+-------------+---+\n",
+      "| F1 Score    | 1 |\n",
+      "+-------------+---+\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "constant = []\n",
+    "P, N = bottom_clause_generation(constant_set = constant, container = \"dict\", file = \"BK.pl\",\n",
+    "                               positive_example = \"pos_example.f\", negative_example = \"neg_example.n\",\n",
+    "                               positive_file_dictionary= \"Ancestor_Pos_BC\", \n",
+    "                                negative_file_dictionary = \"Ancestor_Neg_BC\")\n",
+    "Train_P, Test_P, Train_N, Test_N = pygol_train_test_split(test_size= 0, \n",
+    "                                                          positive_file_dictionary= \"Ancestor_Pos_BC\", \n",
+    "                                                          negative_file_dictionary = \"Ancestor_Neg_BC\")\n",
+    "model= pygol_learn(Train_P, Train_N, constant_set = constant, max_neg = 0, file = \"BK.pl\",\n",
+    "                     max_literals = 5,  key_size = 3,  rule_noise_check = True, recursive = True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "298a34f8-17df-4cdb-a4c9-da25b06eca59",
+   "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": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/ancestor/BK.pl

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+ancestor(princess_diana,queen_mother)

examples/ancestor/Learn_ancestor.ipynb

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+ancestor(elizabeth_second,prince_charles).
+ancestor(george_sixth,prince_harry).
+ancestor(queen_mother,prince_william).