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Update 16_2_Autoregressive_Flows.ipynb

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Pietro Monticone
2023-10-30 18:15:48 +01:00
parent be98b4df14
commit 78eaa6312d
1 changed files with 3 additions and 3 deletions
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Notebooks/Chap16/16_2_Autoregressive_Flows.ipynb
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@@ -65,7 +65,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"source": [ "source": [
"# First let's make the 1D piecewise linear mapping as illustated in figure 16.5\n", "# First let's make the 1D piecewise linear mapping as illustrated in figure 16.5\n",
"def g(h, phi):\n", "def g(h, phi):\n",
" # TODO -- write this function (equation 16.12)\n", " # TODO -- write this function (equation 16.12)\n",
" # Note: If you have the first printing of the book, there is a mistake in equation 16.12\n", " # Note: If you have the first printing of the book, there is a mistake in equation 16.12\n",
@@ -156,7 +156,7 @@
{ {
"cell_type": "markdown", "cell_type": "markdown",
"source": [ "source": [
"Now let's define an autogressive flow. Let's switch to looking at figure 16.7.# We'll assume that our piecewise function will use five parameters phi1,phi2,phi3,phi4,phi5" "Now let's define an autoregressive flow. Let's switch to looking at figure 16.7.# We'll assume that our piecewise function will use five parameters phi1,phi2,phi3,phi4,phi5"
], ],
"metadata": { "metadata": {
"id": "t8XPxipfd7hz" "id": "t8XPxipfd7hz"
@@ -175,7 +175,7 @@
" x = x/ np.sum(x) ;\n", " x = x/ np.sum(x) ;\n",
" return x\n", " return x\n",
"\n", "\n",
"# Return value of phi that doesn't depend on any of the iputs\n", "# Return value of phi that doesn't depend on any of the inputs\n",
"def get_phi():\n", "def get_phi():\n",
" return np.array([0.2, 0.1, 0.4, 0.05, 0.25])\n", " return np.array([0.2, 0.1, 0.4, 0.05, 0.25])\n",
"\n", "\n",