{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exemplo usando Naive Bayes baseado em uma distribuição normal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Repositório de dados: http://archive.ics.uci.edu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from scipy.stats import norm\n",
    "from scipy import stats\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Função que retorna $f(x,\\mu,\\sigma)$, a função de distribuição normal (gaussiana) para casos contínuos\n",
    "### $x$ é um dos valores da distribuição, $\\mu$ é a média e $\\sigma$ é o desvio padrão\n",
    "\n",
    "###  $$f(x,\\mu,\\sigma)=\\frac{1}{\\sigma\\sqrt{2\\pi}}e^{-\\frac{1}{2}(\\frac{x-\\mu}{\\sigma})^2}$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "def valFdp(x,med,dp):\n",
    "    #verifica se x é um tipo array ou um único valor (int,float)\n",
    "    if type(x) is np.ndarray:\n",
    "        md=np.array([med,dp]).T #transforma em 3x2\n",
    "        y=[stats.norm.pdf(x,loc=m,scale=d) for m,d in md]\n",
    "    else:\n",
    "        y=stats.norm.pdf(x,loc=med,scale=dp)    \n",
    "    return y"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Definindo nome dos atributos (variáveis ou campos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "campos=['Classe','Peso Esquerdo','Distância Esquerda', 'Peso Direito','Distância Direita']\n",
    "caminhoDados='./balance+scale'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Caso o arquivo não tenha nome das colunas ou queira trocar os nomes das colunas utilizar $names$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lê o arquivo .data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv(f'{caminhoDados}/balance-scale.data',names=campos) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mostra as classes encontradas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'L', 'R', 'B'}\n"
     ]
    }
   ],
   "source": [
    "print(set(df[\"Classe\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mostra a quantidade de cada classe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R    288\n",
      "L    288\n",
      "B     49\n",
      "Name: Classe, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "qtdeClasse=df['Classe'].value_counts()\n",
    "classes=list(qtdeClasse.index)\n",
    "print(qtdeClasse)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculando a probabilidade das classes (valores discretos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R    0.4608\n",
      "L    0.4608\n",
      "B    0.0784\n",
      "Name: Classe, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "prbClasse=qtdeClasse/qtdeClasse.sum()\n",
    "classes=list(qtdeClasse.index)\n",
    "numClasses=len(classes)\n",
    "print(prbClasse)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Retira $Classe$ de $campos$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Classe</th>\n",
       "      <th>Peso Esquerdo</th>\n",
       "      <th>Distância Esquerda</th>\n",
       "      <th>Peso Direito</th>\n",
       "      <th>Distância Direita</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>R</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>R</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>R</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>L</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621</th>\n",
       "      <td>L</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>622</th>\n",
       "      <td>L</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>623</th>\n",
       "      <td>L</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>624</th>\n",
       "      <td>B</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>625 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Classe  Peso Esquerdo  Distância Esquerda  Peso Direito  Distância Direita\n",
       "0        B              1                   1             1                  1\n",
       "1        R              1                   1             1                  2\n",
       "2        R              1                   1             1                  3\n",
       "3        R              1                   1             1                  4\n",
       "4        R              1                   1             1                  5\n",
       "..     ...            ...                 ...           ...                ...\n",
       "620      L              5                   5             5                  1\n",
       "621      L              5                   5             5                  2\n",
       "622      L              5                   5             5                  3\n",
       "623      L              5                   5             5                  4\n",
       "624      B              5                   5             5                  5\n",
       "\n",
       "[625 rows x 5 columns]"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "campos.pop(0) #retira 'Classe' de campos\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Valor $X=[3,2,1,3]$ a classificar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=[3,2,1,3]\n",
    "numAtrib=len(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Calcula a média e o desvio padrão para cada atributo, supondo que os dados seguem\n",
    "#### uma distribuição normal (gaussiana)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "med=np.array([[df.query(f\"Classe=='{c}'\")[campo].mean() for campo in campos] for c in classes])\n",
    "dp=np.array([[df.query(f\"Classe=='{c}'\")[campo].std() for campo in campos] for c in classes])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cria o objeto $gaussiana$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "gaussiana=stats.norm(loc=med,scale=dp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cria um array de $-2$ a $8$ com $50$ valores (default)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[2.39930556 2.39930556 3.61111111 3.61111111]\n",
      " [3.61111111 3.61111111 2.39930556 2.39930556]\n",
      " [2.93877551 2.93877551 2.93877551 2.93877551]]\n",
      "\n",
      "[[1.33183986 1.33183986 1.22750767 1.22750767]\n",
      " [1.22750767 1.22750767 1.33183986 1.33183986]\n",
      " [1.42021365 1.42021365 1.42021365 1.42021365]]\n"
     ]
    }
   ],
   "source": [
    "x=np.linspace(-2,8)\n",
    "print(med)\n",
    "print('')\n",
    "print(dp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plota uma figura com dois axes (gráficos) correspondentes a $PesoDireito$ e $PesoEsquerdo$ \n",
    "#### com suas referidas funções de distribuição. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.suptitle(f\"Gráficos para classificação de X={X}\")\n",
    "plt.subplot(2,2,1)\n",
    "plt.title('Peso Esquerdo')\n",
    "Y=valFdp(x,med[:,0],dp[:,0])\n",
    "plt.plot(x,Y[0],label=\"P(x|R)\")\n",
    "plt.plot(x,Y[1],label=\"P(x|L)\")\n",
    "plt.plot(x,Y[2],label=\"P(x|B)\")\n",
    "plt.legend() #exibe os labels da legenda\n",
    "#Valor 3 do Peso Esquerdo\n",
    "ptMax=max([valFdp(X[0],m,d) for m,d in np.array([med[:,0],dp[:,0]]).T])\n",
    "plt.scatter(X[0],ptMax,color='red')\n",
    "plt.axvline(X[0],color='red',linestyle='--')\n",
    "plt.text(X[0]+0.2,ptMax,f'({X[0]}, {ptMax:.2f})',color='red',weight='heavy')\n",
    "plt.grid(True)\n",
    "\n",
    "plt.subplot(2,2,2)\n",
    "plt.title('Distância Esquerda')\n",
    "Y=valFdp(x,med[:,1],dp[:,1])\n",
    "plt.plot(x,Y[0],label=\"P(x|R)\")\n",
    "plt.plot(x,Y[1],label=\"P(x|L)\")\n",
    "plt.plot(x,Y[2],label=\"P(x|B)\")\n",
    "plt.legend() #exibe os labels da legenda\n",
    "#Valor 2 da Distância Esquerda\n",
    "ptMax=max([valFdp(X[1],m,d) for m,d in np.array([med[:,1],dp[:,1]]).T])\n",
    "plt.scatter(X[1],ptMax,color='red')\n",
    "plt.axvline(X[1],color='red',linestyle='--')\n",
    "plt.text(X[1]+0.2,ptMax,f'({X[1]}, {ptMax:.2f})',color='red',weight='heavy')\n",
    "plt.grid(True)\n",
    "\n",
    "plt.subplot(2,2,3)\n",
    "plt.title('Peso Direito')\n",
    "Y=valFdp(x,med[:,2],dp[:,2])\n",
    "plt.plot(x,Y[0],label=\"P(x|R)\")\n",
    "plt.plot(x,Y[1],label=\"P(x|L)\")\n",
    "plt.plot(x,Y[2],label=\"P(x|B)\")\n",
    "plt.legend() \n",
    "#Valor 1 do Peso Direito\n",
    "ptMax=max([valFdp(X[2],m,d) for m,d in np.array([med[:,2],dp[:,2]]).T])\n",
    "plt.scatter(X[2],ptMax,color='red')\n",
    "plt.axvline(X[2],color='red',linestyle='--')\n",
    "plt.text(X[2]+0.2,ptMax,f'({X[2]}, {ptMax:.2f})',color='red',weight='heavy')\n",
    "plt.grid(True)\n",
    "\n",
    "plt.subplot(2,2,4)\n",
    "plt.title('Distância Direita')\n",
    "Y=valFdp(x,med[:,3],dp[:,3])\n",
    "plt.plot(x,Y[0],label=\"P(x|R)\")\n",
    "plt.plot(x,Y[1],label=\"P(x|L)\")\n",
    "plt.plot(x,Y[2],label=\"P(x|B)\")\n",
    "plt.legend() #exibe os labels da legenda\n",
    "#Valor 3 da Distância Direita\n",
    "ptMax=max([valFdp(X[3],m,d) for m,d in np.array([med[:,3],dp[:,3]]).T])\n",
    "plt.scatter(X[3],ptMax,color='red')\n",
    "plt.axvline(X[3],color='red',linestyle='--')\n",
    "plt.text(X[3]+0.2,ptMax,f'({X[3]}, {ptMax:.2f})',color='red',weight='heavy')\n",
    "plt.grid(True)\n",
    "\n",
    "plt.subplots_adjust(wspace=0.3,hspace=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Calcula a densidade de todos os $X=\\left[\\begin{array}{c c c c} 3 & 2 & 1 & 3 \\end{array} \\right] $"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "fXC=gaussiana.pdf(X) #ou no modo direto prbXC=norm.pdf(X,loc=med,scale=dp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Calculando qual a chance de ser a classe $c$ uma vez observado $X$\n",
    "#### Na distribuição discreta $P(C_j|X)=P(C_j)\\prod_i P(X_i|C_j)$ \n",
    "#### Mas como temos uma distribuição contínua $$P(C_j|X)=P(C_j)\\prod_i f(X_i|C_j)$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "prbCX=prbClasse*np.prod(fXC,axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Normaliza"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "prbCX=prbCX/np.sum(prbCX)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Hipótese da Máxima Verossimilhança $(HMV)$, a classe vencedora"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "L\n"
     ]
    }
   ],
   "source": [
    "hMv=np.argmax(prbCX)\n",
    "print(classes[hMv])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Ordena do maior argumento para o menor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "id=np.argsort(np.array(prbCX))[::-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Probabilidade ordenada das classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------PROBABILIDADE DAS CLASSES DADO X-------------------------------\n",
      "Classe L = 0.63\n",
      "Classe R = 0.26\n",
      "Classe B = 0.11\n",
      "\n",
      " Classe vencedora: L probabilidade: 0.63\n"
     ]
    }
   ],
   "source": [
    "prbOrdC=[[classes[cl],prbCX[cl]] for cl in id]\n",
    "print('--------------PROBABILIDADE DAS CLASSES DADO X-------------------------------')\n",
    "for l in prbOrdC:\n",
    "    print(f'Classe {l[0]} = {l[1]:.2f}')\n",
    "\n",
    "print(f'\\n Classe vencedora: {classes[hMv]} probabilidade: {prbCX[hMv]:.2f}')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Repare a diferença dos mesmos dados com probabilidades discretas"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
