ML_course/assignment 3/bonus_unsloved.ipynb

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"## Bonus Exercise: Bayes' Rule\n",
"### Description\n",
"In this exercise, you will implement Bayes' rule to solve a simple card game."
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"import random\n",
"\n",
"class CardDeck:\n",
" def __init__(self):\n",
" # Initialize the deck of cards\n",
" self.cards = ['R', 'R', 'B', 'B']\n",
" # Shuffle the deck of cards\n",
" random.shuffle(self.cards)\n",
" # Initialize the prior probability\n",
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" self.prior_red = 0.5\n",
" self.likelihood = 0.5\n",
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"\n",
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"\n",
" def draw_card(self, index):\n",
" \"\"\"\n",
" Draw a card from the deck\n",
" :param index: the index of the card to be drawn\n",
" :return: the card and its color\n",
" \"\"\"\n",
" card = self.cards.pop(index)\n",
" color = 'Red' if card == 'R' else 'Black'\n",
" return (card, color)\n",
"\n",
" def get_card_color(self, index):\n",
" \"\"\"\n",
" Get the color of a card\n",
" :return: the color of the card\n",
" \"\"\"\n",
" card = self.cards[index]\n",
" color = 'Red' if card == 'R' else 'Black'\n",
" return color\n",
"\n",
" def get_remainder(self):\n",
" \"\"\"\n",
" Get the remainder deck\n",
" :return: the remainder deck\n",
" \"\"\"\n",
" return self.cards\n",
"\n",
" \"\"\"\n",
" Update the prior probability based on Bayes' rule\n",
" function name: update_probabilities\n",
" \"\"\"\n",
" ### function missing here\n",
" \"\"\"\n",
" Calculate the posterior probability based on the prior probability, likelihood, and marginal likelihood\n",
" function name: get_posterior\n",
" \"\"\"\n",
" ### function missing here\n",
"\n",
" def play_game(self):\n",
" while self.cards:\n",
" for i, card in enumerate(self.cards):\n",
" print(f'{i}: Unknown')\n",
" # only one card left\n",
" if len(self.cards) == 1:\n",
" # code missing here\n",
" self.cards.pop()\n",
" else:\n",
" index = int(input(f\"Remainder deck: {self.get_remainder()}\\nEnter the index of the card you want to draw:\"))\n",
" card, color = self.draw_card(index-1)\n",
" print(f'You drew a {color} card with value {card}')\n",
"\n",
" # Calculate the likelihood and marginal likelihood based on the color of the drawn card\n",
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"\n",
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" # Update the prior probability based on Bayes' rule\n",
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" # code missing here\n",
" posterior_red = 0 # you must calculate this value\n",
" posterior_black = 0 # you must calculate this value\n",
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" # Print the posterior probabilities\n",
" print(f\"After drawing a {card} card:\")\n",
" print(f\"The probability that the other card is red: {posterior_red:.2f}\")\n",
" print(f\"The probability that the other card is black: {posterior_black:.2f}\")\n",
" print(\"The deck is empty.\")\n",
"\n",
"\n"
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"source": [
"play the game by running the following code:\n"
],
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"execution_count": 2,
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0: Unknown\n",
"1: Unknown\n",
"2: Unknown\n",
"3: Unknown\n",
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"You drew a Black card with value B\n",
"After drawing a B card:\n",
"The probability that the other card is red: 0.00\n",
"The probability that the other card is black: 0.00\n",
"0: Unknown\n",
"1: Unknown\n",
"2: Unknown\n",
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"You drew a Red card with value R\n",
"After drawing a R card:\n",
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"The probability that the other card is red: 0.00\n",
"The probability that the other card is black: 0.00\n",
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"0: Unknown\n",
"1: Unknown\n",
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"You drew a Red card with value R\n",
"After drawing a R card:\n",
"The probability that the other card is red: 0.00\n",
"The probability that the other card is black: 0.00\n",
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"0: Unknown\n",
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"After drawing a B card:\n",
"The probability that the other card is red: 0.00\n",
"The probability that the other card is black: 0.00\n",
"The deck is empty.\n"
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]
}
],
"source": [
"deck = CardDeck()\n",
"deck.play_game()\n"
],
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