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@@ -4,7 +4,7 @@
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"metadata": {
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"colab": {
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"provenance": [],
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"authorship_tag": "ABX9TyMBYNsjj1iTgHUYhAXqUYJd",
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"authorship_tag": "ABX9TyOSEQVqxE5KrXmsZVh9M3gq",
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"include_colab_link": true
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},
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"kernelspec": {
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@@ -253,7 +253,7 @@
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"pr_x1_x2_given_z_val = get_likelihood(x1_mesh,x2_mesh, z_val)\n",
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"\n",
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"# Plot the result\n",
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"plot_heatmap(x1_mesh, x2_mesh, pr_x1_x2_given_z_val, title=\"Conditional distribution $Pr(x1,x2|z)$\")\n",
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"plot_heatmap(x1_mesh, x2_mesh, pr_x1_x2_given_z_val, title=\"Conditional distribution $Pr(x_1,x_2|z)$\")\n",
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"\n",
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"# TODO -- Experiment with different values of z and make sure that you understand the what is happening."
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],
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@@ -292,7 +292,7 @@
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"\n",
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"\n",
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"# Plot the result\n",
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"plot_heatmap(x1_mesh, x2_mesh, pr_x1_x2, title=\"Data density $Pr(x1,x2)$\")\n"
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"plot_heatmap(x1_mesh, x2_mesh, pr_x1_x2, title=\"Data density $Pr(x_1,x_2)$\")\n"
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],
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"metadata": {
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"id": "H0Ijce9VzeCO"
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@@ -341,7 +341,7 @@
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"source": [
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"x1_samples, x2_samples = draw_samples(500)\n",
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"# Plot the result\n",
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"plot_heatmap(x1_mesh, x2_mesh, pr_x1_x2, x1_samples, x2_samples, title=\"Data density $Pr(x1,x2)$\")\n"
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"plot_heatmap(x1_mesh, x2_mesh, pr_x1_x2, x1_samples, x2_samples, title=\"Data density $Pr(x_1,x_2)$\")\n"
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],
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"metadata": {
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"id": "XRmWv99B-BWO"
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