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Dec 14, 2016
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Update 05.05-Naive-Bayes.ipynb #24

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2 changes: 1 addition & 1 deletion notebooks/05.05-Naive-Bayes.ipynb
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Expand Up @@ -51,7 +51,7 @@
"If we are trying to decide between two labels—let's call them $L_1$ and $L_2$—then one way to make this decision is to compute the ratio of the posterior probabilities for each label:\n",
"\n",
"$$\n",
"\\frac{P(L_1~|~{\\rm features})}{P(L_1~|~{\\rm features})} = \\frac{P({\\rm features}~|~L_1)}{P({\\rm features}~|~L_2)}\\frac{P(L_1)}{P(L_2)}\n",
"\\frac{P(L_1~|~{\\rm features})}{P(L_2~|~{\\rm features})} = \\frac{P({\\rm features}~|~L_1)}{P({\\rm features}~|~L_2)}\\frac{P(L_1)}{P(L_2)}\n",
"$$\n",
"\n",
"All we need now is some model by which we can compute $P({\\rm features}~|~L_i)$ for each label.\n",
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