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Fix more Chap09 tiny typos

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This commit is contained in:
Youcef Rahal
2024-05-09 17:51:53 -04:00
parent 30420a2f92
commit 1343b68c60
1 changed files with 7 additions and 7 deletions
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14
Notebooks/Chap09/9_3_Ensembling.ipynb
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@@ -52,7 +52,7 @@
"# import libraries\n", "# import libraries\n",
"import numpy as np\n", "import numpy as np\n",
"import matplotlib.pyplot as plt\n", "import matplotlib.pyplot as plt\n",
"# Define seed so get same results each time\n", "# Define seed to get same results each time\n",
"np.random.seed(1)" "np.random.seed(1)"
] ]
}, },
@@ -80,7 +80,7 @@
" for i in range(n_data):\n", " for i in range(n_data):\n",
" x[i] = np.random.uniform(i/n_data, (i+1)/n_data, 1)\n", " x[i] = np.random.uniform(i/n_data, (i+1)/n_data, 1)\n",
"\n", "\n",
" # y value from running through functoin and adding noise\n", " # y value from running through function and adding noise\n",
" y = np.ones(n_data)\n", " y = np.ones(n_data)\n",
" for i in range(n_data):\n", " for i in range(n_data):\n",
" y[i] = true_function(x[i])\n", " y[i] = true_function(x[i])\n",
@@ -96,7 +96,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"source": [ "source": [
"# Draw the fitted function, together win uncertainty used to generate points\n", "# Draw the fitted function, together with uncertainty used to generate points\n",
"def plot_function(x_func, y_func, x_data=None,y_data=None, x_model = None, y_model =None, sigma_func = None, sigma_model=None):\n", "def plot_function(x_func, y_func, x_data=None,y_data=None, x_model = None, y_model =None, sigma_func = None, sigma_model=None):\n",
"\n", "\n",
" fig,ax = plt.subplots()\n", " fig,ax = plt.subplots()\n",
@@ -137,7 +137,7 @@
"n_data = 15\n", "n_data = 15\n",
"x_data,y_data = generate_data(n_data, sigma_func)\n", "x_data,y_data = generate_data(n_data, sigma_func)\n",
"\n", "\n",
"# Plot the functinon, data and uncertainty\n", "# Plot the function, data and uncertainty\n",
"plot_function(x_func, y_func, x_data, y_data, sigma_func=sigma_func)" "plot_function(x_func, y_func, x_data, y_data, sigma_func=sigma_func)"
], ],
"metadata": { "metadata": {
@@ -216,7 +216,7 @@
"# Closed form solution\n", "# Closed form solution\n",
"beta, omega = fit_model_closed_form(x_data,y_data,n_hidden=14)\n", "beta, omega = fit_model_closed_form(x_data,y_data,n_hidden=14)\n",
"\n", "\n",
"# Get prediction for model across graph grange\n", "# Get prediction for model across graph range\n",
"x_model = np.linspace(0,1,100);\n", "x_model = np.linspace(0,1,100);\n",
"y_model = network(x_model, beta, omega)\n", "y_model = network(x_model, beta, omega)\n",
"\n", "\n",
@@ -297,7 +297,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"source": [ "source": [
"# Plot the median of the results\n", "# Plot the mean of the results\n",
"# TODO -- find the mean prediction\n", "# TODO -- find the mean prediction\n",
"# Replace this line\n", "# Replace this line\n",
"y_model_mean = all_y_model[0,:]\n", "y_model_mean = all_y_model[0,:]\n",
@@ -325,4 +325,4 @@
} }
} }
] ]
} }