Chapter_1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "3ec61780",
   "metadata": {},
   "source": [
    "# Chapter 1\n",
    "\n",
    "This Jupyter Notebook implements key parts of Chapter 1 of the book \"An Introduction to Tsetlin Machines\". The book can be downloaded here https://tsetlinmachine.org."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "732c9b7b",
   "metadata": {},
   "source": [
    "## Boolean Features"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41041f6c",
   "metadata": {},
   "source": [
    "You first need observations that the Tsetlin machine can learn from. The following dataset contains three objects of type _Car_. They are characterized by five Boolean features: _Four Wheels_, _Transports People_, _Wings_, _Yellow_, and _Blue_. The first object in the dataset, for instance, has _Four Wheels_, _Transports People_, does not have _Wings_, is _Blue_, but not _Yellow_. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9bb2d1c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "cars = [\n",
    "    {'Four Wheels':True, 'Transports People':True, 'Wings':False, 'Yellow':False, 'Blue':True},\n",
    "    {'Four Wheels':True, 'Transports People':True, 'Wings':False, 'Yellow':True, 'Blue':False},\n",
    "    {'Four Wheels':True, 'Transports People':True, 'Wings':False, 'Yellow':True, 'Blue':False}\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61de1acd",
   "metadata": {},
   "source": [
    "## Creating Patterns with AND and NOT\n",
    "\n",
    "The Tsetlin machine learns to recognize different object types by creating _if-then rules_. Each rule has the form: __if__ _condition_ __then__ _class_."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a5969ab",
   "metadata": {},
   "source": [
    "The _condition_ is an __and__-expression while the _class_ is a type of object. You can use the method `evaluate_condition()` to evaluate the condition of a rule:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "22e7c56f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def evaluate_condition(observation, condition):\n",
    "    truth_value_of_condition = True\n",
    "    for feature in observation:\n",
    "        if feature in condition and observation[feature] == False:\n",
    "            truth_value_of_condition = False\n",
    "            break\n",
    "        if 'NOT ' + feature in condition and observation[feature] == True:\n",
    "            truth_value_of_condition = False\n",
    "            break\n",
    "    return truth_value_of_condition"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfc47e80",
   "metadata": {},
   "source": [
    "For instance, create the condition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cfbba249",
   "metadata": {},
   "outputs": [],
   "source": [
    "example_condition = ['Four Wheels', 'Transports People', 'NOT Wings']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e664f4b",
   "metadata": {},
   "source": [
    "This condition means: _Four Wheels_ __and__ _Transports People_ __and__ __not__ _Wings_. Now, evaluate the condition on the first object in the dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ae72ef89",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "evaluate_condition(cars[0], example_condition)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8cef3ea8",
   "metadata": {},
   "source": [
    "Since the first object in the dataset has _Four Wheels_, _Transports People_, and does not have _Wings_, the __and__-expression becomes _True_."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6a934aa",
   "metadata": {},
   "source": [
    "## Learning Frequent Patterns with Type I Feedback"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc5329fb",
   "metadata": {},
   "source": [
    "### Rule Memory"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e784bfd2",
   "metadata": {},
   "source": [
    "You are now about to discover how a single if-then rule learns to recognizing frequent _Car_ patterns. To this end, the rule has its own memory for storing literals. The memory simulates memorization and forgetting, visualized in the figure below,"
   ]
  },
  {
   "attachments": {
    "Tsetlin_Machine_Memory_1_1.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "6e03018f",
   "metadata": {},
   "source": [
    "<div>\n",
    "<img src=\"attachment:Tsetlin_Machine_Memory_1_1.png\" width=\"800\"/>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c4034b1",
   "metadata": {},
   "source": [
    "The y-axis ranges from 1 to 10 and measures how deeply the memory stores each literal:\n",
    "\n",
    "* Values 1 to 5 stand for _Forgotten_. Value 1 means maximally forgotten while value 5 means almost memorized. Literals in this range _do not_ take part in the rule's condition.\n",
    "* Values 6 to 10 mean _Memorized_. Value 6 stands for lightly retained, and value 10 represents maximally memorized. Literals in this range take part in the condition of the rule.\n",
    "\n",
    "You can implement the memory as a class:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cf5e7348",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Memory:\n",
    "    def __init__(self, forget_value, memorize_value, memory):\n",
    "        self.memory = memory\n",
    "        self.forget_value = forget_value\n",
    "        self.memorize_value = memorize_value\n",
    "    \n",
    "    def get_memory(self):\n",
    "        return self.memory\n",
    "    \n",
    "    def get_literals(self):\n",
    "        return list(self.memory.keys())\n",
    "    \n",
    "    def get_condition(self):\n",
    "        condition = []\n",
    "        for literal in self.memory:\n",
    "            if self.memory[literal] >= 6:\n",
    "                condition.append(literal)\n",
    "        return condition\n",
    "        \n",
    "    def memorize(self, literal):\n",
    "        if random() <= self.memorize_value and self.memory[literal] < 10:\n",
    "            self.memory[literal] += 1\n",
    "            \n",
    "    def forget(self, literal):\n",
    "        if random() <= self.forget_value and self.memory[literal] > 1:\n",
    "            self.memory[literal] -= 1\n",
    "            \n",
    "    def memorize_always(self, literal):\n",
    "        if  self.memory[literal] < 10:\n",
    "            self.memory[literal] += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f01d8e6",
   "metadata": {},
   "source": [
    "To create the memory for the _Car_ if-then rule, you first set `forget_value`, which decides how quickly the memory forgets. You also set `memorize_value`, determining memorization speed. Finally, you add the literals and their starting memory positions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ffd069e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "car_rule = Memory(0.9, 0.1, {'Four Wheels':10, 'NOT Four Wheels':2, 'Transports People':9, 'NOT Transports People':3, 'Wings':1, 'NOT Wings':5, 'Yellow':1, 'NOT Yellow':4, 'Blue':6, 'NOT Blue':4})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec822209",
   "metadata": {},
   "source": [
    "The `get_condition()` method extracts the literals in memory position 6 to 10. You can try `get_condition()` on the above example memory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2c81c78d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Four Wheels', 'Transports People', 'Blue']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "car_rule.get_condition()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "521619c8",
   "metadata": {},
   "source": [
    "The condition is _Four Wheels_ __and__ _Transports People_ __and__ _Blue_. You then get the _Car_ rule:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "de11237d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IF Four Wheels AND Transports People AND Blue THEN Car\n"
     ]
    }
   ],
   "source": [
    "print(\"IF \" + \" AND \".join(car_rule.get_condition()) + \" THEN Car\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2c8c189",
   "metadata": {},
   "source": [
    "### Memorization and Forgetting\n",
    "\n",
    "You memorize a literal by incrementing its position in memory unless already _Maximally Memorized_ in position 10. The memorization thus pushes the literals deeper into the rule's memory. The `memorize()` method implements memorization."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07d763f9",
   "metadata": {},
   "source": [
    "You forget a literal by decrementing its position in memory unless already Maximally Forgotten in position 1. The `forget()` method implements forgetting."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4c69ba6",
   "metadata": {},
   "source": [
    "Both `memorize()` and `forget()` are randomized, hence we need the `random` method from the `random` module:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9ef8d66b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from random import random"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1172ad09",
   "metadata": {},
   "source": [
    "Try out forget two times on literal _Blue_ and observe how the memory updates:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c944a28b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Four Wheels': 10, 'NOT Four Wheels': 2, 'Transports People': 9, 'NOT Transports People': 3, 'Wings': 1, 'NOT Wings': 5, 'Yellow': 1, 'NOT Yellow': 4, 'Blue': 4, 'NOT Blue': 4}\n"
     ]
    }
   ],
   "source": [
    "car_rule.forget('Blue')\n",
    "car_rule.forget('Blue')\n",
    "print(car_rule.memory)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a07d6da0",
   "metadata": {},
   "source": [
    "_Blue_ is now either in position 4, 5, or 6 depending on how many times `random()` was equal to or below 0.9."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0851882c",
   "metadata": {},
   "source": [
    "### Initialization\n",
    "\n",
    "When learning begins the rule starts up with all the literals in memory position 5. That is, the literals are about to be _Memorized_ but currently _Forgotten_."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f06b5210",
   "metadata": {},
   "outputs": [],
   "source": [
    "car_rule = Memory(0.9, 0.1, {'Four Wheels':5, 'NOT Four Wheels':5, 'Transports People':5, 'NOT Transports People':5, 'Wings':5, 'NOT Wings':5, 'Yellow':5, 'NOT Yellow':5, 'Blue':5, 'NOT Blue':5})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93c20e85",
   "metadata": {},
   "source": [
    "### Type I Feedback\n",
    "\n",
    "The `type_i_feedback()` method produces frequent patterns with two learning steps:\n",
    "\n",
    "* Check if the condition part of the rule is _True_ by assessing the object's literals. If the condition part is _True_, then memorize all the literals that are _True_ for the object.\n",
    "\n",
    "* Forget all remaining literals."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5d2d430e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def type_i_feedback(observation, memory):\n",
    "    remaining_literals = memory.get_literals()\n",
    "    if evaluate_condition(observation, memory.get_condition()) == True:\n",
    "        for feature in observation:\n",
    "            if observation[feature] == True:\n",
    "                memory.memorize(feature)\n",
    "                remaining_literals.remove(feature)\n",
    "            elif observation[feature] == False:\n",
    "                memory.memorize('NOT ' + feature)\n",
    "                remaining_literals.remove('NOT ' + feature)\n",
    "    for literal in remaining_literals:\n",
    "        memory.forget(literal)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c198263d",
   "metadata": {},
   "source": [
    "### Example Run\n",
    "\n",
    "The following code randomly selects a car and then updates the memory. This procedure is repeated 100 times."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b4d1bdcc",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "from random import choice\n",
    "\n",
    "for i in range(100):\n",
    "    observation_id = choice([0,1,2])\n",
    "    type_i_feedback(cars[observation_id], car_rule)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "616ffef1",
   "metadata": {},
   "source": [
    "The memory now looks like this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4c1fef82",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Four Wheels': 10, 'NOT Four Wheels': 1, 'Transports People': 10, 'NOT Transports People': 1, 'Wings': 1, 'NOT Wings': 10, 'Yellow': 1, 'NOT Yellow': 2, 'Blue': 2, 'NOT Blue': 1}\n"
     ]
    }
   ],
   "source": [
    "print(car_rule.get_memory())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e0f0b4c",
   "metadata": {},
   "source": [
    "Observe that some of the literals are now either deeply memorized or forgotten. You can print out the resulting rule:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f237c005",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IF Four Wheels AND Transports People AND NOT Wings THEN Car\n"
     ]
    }
   ],
   "source": [
    "print(\"IF \" + \" AND \".join(car_rule.get_condition()) + \" THEN Car\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1359001",
   "metadata": {},
   "source": [
    "Congratulations, you have now learnt a frequent _Car_ pattern."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2627e21c",
   "metadata": {},
   "source": [
    "## Increasing Discrimination Power with Type II Feedback\n",
    "\n",
    "You can use a dataset with planes to ensure that the _Car_ rule is discriminative:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "6f06fb21",
   "metadata": {},
   "outputs": [],
   "source": [
    "planes = [\n",
    "    {'Four Wheels':True, 'Transports People':True, 'Wings':True, 'Yellow':False, 'Blue':True},\n",
    "    {'Four Wheels':True, 'Transports People':False, 'Wings':True, 'Yellow':True, 'Blue':False},\n",
    "    {'Four Wheels':False, 'Transports People':True, 'Wings':True, 'Yellow':False, 'Blue':True}\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88f02cdb",
   "metadata": {},
   "source": [
    "### Type II Feedback\n",
    "\n",
    "The `type_ii_feedback()` method implements the third and final learning step:\n",
    "\n",
    "* Check if the condition part of the rule is _True_ by assessing the object’s literals. If the condition part  is _True_, then  memorize  all _Forgotten_ literals that are _False_ for the object. This time there is no randomization – the increment is always performed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "35951871",
   "metadata": {},
   "outputs": [],
   "source": [
    "def type_ii_feedback(observation, memory):\n",
    "    if evaluate_condition(observation, memory.get_condition()) == True:\n",
    "        for feature in observation:\n",
    "            if observation[feature] == False:\n",
    "                memory.memorize_always(feature)\n",
    "            elif observation[feature] == True:\n",
    "                memory.memorize_always('NOT ' + feature)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca8cfbe3",
   "metadata": {},
   "source": [
    "### Example Run\n",
    "\n",
    "Let us assume that you start out with the less discriminative rule:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "3185d644",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IF Four Wheels AND Transports People THEN Car\n"
     ]
    }
   ],
   "source": [
    "car_rule = Memory(0.9, 0.1, {'Four Wheels': 10, 'NOT Four Wheels': 1, 'Transports People': 10, 'NOT Transports People': 1, 'Wings': 1, 'NOT Wings': 1, 'Yellow': 1, 'NOT Yellow': 1, 'Blue': 1, 'NOT Blue': 1})\n",
    "print(\"IF \" + \" AND \".join(car_rule.get_condition()) + \" THEN Car\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb17f2b7",
   "metadata": {},
   "source": [
    "The rule correctly matches all of the cars in the _Car_ dataset. However, it also erroneously matches the first object in the _Plane_ dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "82caeaf9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "print(evaluate_condition(planes[0], car_rule.get_condition()))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4023e02c",
   "metadata": {},
   "source": [
    "A few rounds of Type II Feedback fix this error:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "75b83d2a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Four Wheels': 10, 'NOT Four Wheels': 6, 'Transports People': 10, 'NOT Transports People': 6, 'Wings': 1, 'NOT Wings': 6, 'Yellow': 6, 'NOT Yellow': 1, 'Blue': 1, 'NOT Blue': 6}\n"
     ]
    }
   ],
   "source": [
    "for i in range(100):\n",
    "    observation_id = choice([0,1,2])\n",
    "    type_ii_feedback(planes[observation_id], car_rule)\n",
    "print(car_rule.get_memory())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7483047",
   "metadata": {},
   "source": [
    "Observe how the feedback has pushed several _False_ literals to memory position 6. The updated rule becomes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "04adfae4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IF Four Wheels AND NOT Four Wheels AND Transports People AND NOT Transports People AND NOT Wings AND Yellow AND NOT Blue THEN Car\n"
     ]
    }
   ],
   "source": [
    "print(\"IF \" + \" AND \".join(car_rule.get_condition()) + \" THEN Car\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc51a27d",
   "metadata": {},
   "source": [
    "The rule no longer recognizes the offending plane:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "6070b69b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n"
     ]
    }
   ],
   "source": [
    "print(evaluate_condition(planes[0], car_rule.get_condition()))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5b4fb37",
   "metadata": {},
   "source": [
    "Unfortunately, the new rule does not match _Car_ frequently. To make the rule both discriminative and frequent you mix Type I and Type II Feedback:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "73b051d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(100):\n",
    "    observation_id = choice([0,1,2])\n",
    "    car = choice([0,1])\n",
    "    if car == 1:\n",
    "        type_i_feedback(cars[observation_id], car_rule)\n",
    "    else:\n",
    "        type_ii_feedback(planes[observation_id], car_rule)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7be25a8",
   "metadata": {},
   "source": [
    "The final rule you get is both frequent for _Car_ and distinguishes between _Car_ and _Plane_. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3c3e84fe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IF Four Wheels AND Transports People AND NOT Wings THEN Car\n"
     ]
    }
   ],
   "source": [
    "print(\"IF \" + \" AND \".join(car_rule.get_condition()) + \" THEN Car\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2140fbf",
   "metadata": {},
   "source": [
    "The rule is also deeply memorized with all the important literals in or close to memory position 10."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "a117b71e",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Four Wheels': 10, 'NOT Four Wheels': 1, 'Transports People': 10, 'NOT Transports People': 1, 'Wings': 1, 'NOT Wings': 10, 'Yellow': 1, 'NOT Yellow': 1, 'Blue': 1, 'NOT Blue': 1}\n"
     ]
    }
   ],
   "source": [
    "print(car_rule.get_memory())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11bff0f9",
   "metadata": {},
   "source": [
    "## Putting the Pieces Together – How Several Rules Coordinate\n",
    "\n",
    "The Tsetlin machine classifies input by voting, implemented by `classify()`. To classify, you simply count how many rules vote for each class. The Tsetlin machine then outputs the class with the most votes.`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8a5d3536",
   "metadata": {},
   "outputs": [],
   "source": [
    "def classify(observation, car_rules, plane_rules):\n",
    "    vote_sum = 0\n",
    "    for car_rule in car_rules:\n",
    "        if evaluate_condition(observation, car_rule.get_condition()) == True:\n",
    "            vote_sum += 1\n",
    "    for plane_rule in plane_rules:\n",
    "        if evaluate_condition(observation, plane_rule.get_condition()) == True:\n",
    "            vote_sum -= 1\n",
    "    if vote_sum >= 0:\n",
    "        return \"Car\"\n",
    "    else:\n",
    "        return \"Plane\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3aab4f92",
   "metadata": {},
   "source": [
    "To run a complete example, you need a rule for class _Plane_, in addition to the one for _Car_:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "43ea395f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IF Wings THEN Plane\n"
     ]
    }
   ],
   "source": [
    "plane_rule = Memory(0.9, 0.1, {'Four Wheels': 1, 'NOT Four Wheels': 1, 'Transports People': 1, 'NOT Transports People': 1, 'Wings': 10, 'NOT Wings': 1, 'Yellow': 1, 'NOT Yellow': 1, 'Blue': 1, 'NOT Blue': 1})\n",
    "print(\"IF \" + \" AND \".join(plane_rule.get_condition()) + \" THEN Plane\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab595c68",
   "metadata": {},
   "source": [
    "Try now to classify the second _Plane_ in the dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "7b52f887",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Plane'"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classify(planes[1], [car_rule], [plane_rule])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "108fff7b",
   "metadata": {},
   "source": [
    "Try also to classify the third car:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "5539e118",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Car'"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classify(cars[2], [car_rule], [plane_rule])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72ff07fb",
   "metadata": {},
   "source": [
    "Notice how the Tsetlin machine assigns both of the vehicles the correct class."
   ]
  }
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