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udlbook
2023-10-26 17:32:25 +01:00
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commit 4d0825ef42
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Notebooks/Chap05/5_1_Least_Squares_Loss.ipynb
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@@ -4,7 +4,7 @@
"metadata": { "metadata": {
"colab": { "colab": {
"provenance": [], "provenance": [],
"authorship_tag": "ABX9TyOsg2s5izHB6NECgiGlYIBb", "authorship_tag": "ABX9TyOJeBMhN9fXO8UepZ4+Pbg6",
"include_colab_link": true "include_colab_link": true
}, },
"kernelspec": { "kernelspec": {
@@ -306,7 +306,7 @@
"source": [ "source": [
"# Return the negative log likelihood of the data under the model\n", "# Return the negative log likelihood of the data under the model\n",
"def compute_negative_log_likelihood(y_train, mu, sigma):\n", "def compute_negative_log_likelihood(y_train, mu, sigma):\n",
" # TODO -- compute the negative log likelihood of the data without using aproduct\n", " # TODO -- compute the negative log likelihood of the data without using a product\n",
" # In other words, compute minus one times the sum of the log probabilities\n", " # In other words, compute minus one times the sum of the log probabilities\n",
" # Equation 5.4 in the notes\n", " # Equation 5.4 in the notes\n",
" # You will need np.sum(), np.log()\n", " # You will need np.sum(), np.log()\n",