Fix more Chap09 tiny typos
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@@ -52,7 +52,7 @@
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"# import libraries\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"# Define seed so get same results each time\n",
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"# Define seed to get same results each time\n",
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"np.random.seed(1)"
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]
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},
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@@ -80,7 +80,7 @@
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" for i in range(n_data):\n",
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" x[i] = np.random.uniform(i/n_data, (i+1)/n_data, 1)\n",
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"\n",
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" # y value from running through functoin and adding noise\n",
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" # y value from running through function and adding noise\n",
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" y = np.ones(n_data)\n",
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" for i in range(n_data):\n",
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" y[i] = true_function(x[i])\n",
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@@ -96,7 +96,7 @@
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{
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"cell_type": "code",
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"source": [
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"# Draw the fitted function, together win uncertainty used to generate points\n",
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"# Draw the fitted function, together with uncertainty used to generate points\n",
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"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",
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"\n",
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" fig,ax = plt.subplots()\n",
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@@ -137,7 +137,7 @@
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"n_data = 15\n",
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"x_data,y_data = generate_data(n_data, sigma_func)\n",
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"\n",
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"# Plot the functinon, data and uncertainty\n",
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"# Plot the function, data and uncertainty\n",
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"plot_function(x_func, y_func, x_data, y_data, sigma_func=sigma_func)"
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],
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"metadata": {
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@@ -216,7 +216,7 @@
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"# Closed form solution\n",
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"beta, omega = fit_model_closed_form(x_data,y_data,n_hidden=14)\n",
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"\n",
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"# Get prediction for model across graph grange\n",
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"# Get prediction for model across graph range\n",
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"x_model = np.linspace(0,1,100);\n",
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"y_model = network(x_model, beta, omega)\n",
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"\n",
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@@ -297,7 +297,7 @@
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{
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"cell_type": "code",
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"source": [
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"# Plot the median of the results\n",
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"# Plot the mean of the results\n",
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"# TODO -- find the mean prediction\n",
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"# Replace this line\n",
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"y_model_mean = all_y_model[0,:]\n",
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@@ -325,4 +325,4 @@
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}
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}
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]
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}
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}
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