Skip to content

Instantly share code, notes, and snippets.

@yngtodd
Created September 11, 2017 03:35
Show Gist options
  • Save yngtodd/1d572742c957469fe4f069507e175802 to your computer and use it in GitHub Desktop.
Save yngtodd/1d572742c957469fe4f069507e175802 to your computer and use it in GitHub Desktop.
Lastest CNN hyperspace results
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.figure.Figure at 0x7f6b98211cc0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import os\n",
"import numpy as np\n",
"\n",
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"plt.set_cmap(\"viridis\")\n",
"\n",
"from skopt.plots import plot_objective"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib.pyplot import cm\n",
"from matplotlib.ticker import LogLocator\n",
"from matplotlib.ticker import MaxNLocator\n",
"\n",
"from scipy.optimize import OptimizeResult\n",
"\n",
"\n",
"def plot_convergence(*args, **kwargs):\n",
" \"\"\"Plot one or several convergence traces.\n",
" Parameters\n",
" ----------\n",
" * `args[i]` [`OptimizeResult`, list of `OptimizeResult`, or tuple]:\n",
" The result(s) for which to plot the convergence trace.\n",
" - if `OptimizeResult`, then draw the corresponding single trace;\n",
" - if list of `OptimizeResult`, then draw the corresponding convergence\n",
" traces in transparency, along with the average convergence trace;\n",
" - if tuple, then `args[i][0]` should be a string label and `args[i][1]`\n",
" an `OptimizeResult` or a list of `OptimizeResult`.\n",
" * `ax` [`Axes`, optional]:\n",
" The matplotlib axes on which to draw the plot, or `None` to create\n",
" a new one.\n",
" * `true_minimum` [float, optional]:\n",
" The true minimum value of the function, if known.\n",
" * `yscale` [None or string, optional]:\n",
" The scale for the y-axis.\n",
" Returns\n",
" -------\n",
" * `ax`: [`Axes`]:\n",
" The matplotlib axes.\n",
" \"\"\"\n",
" # <3 legacy python\n",
" ax = kwargs.get(\"ax\", None)\n",
" true_minimum = kwargs.get(\"true_minimum\", None)\n",
" yscale = kwargs.get(\"yscale\", None)\n",
"\n",
" if ax is None:\n",
" ax = plt.gca()\n",
"\n",
" ax.set_title(\"Convergence plot\")\n",
" ax.set_xlabel(\"Number of calls $n$\")\n",
" ax.set_ylabel(r\"$\\min f(x)$ after $n$ calls\")\n",
" ax.grid()\n",
"\n",
" if yscale is not None:\n",
" ax.set_yscale(yscale)\n",
"\n",
" colors = cm.viridis(np.linspace(0.25, 1.0, len(args)))\n",
"\n",
" for results, color in zip(args, colors):\n",
" if isinstance(results, tuple):\n",
" name, results = results\n",
" else:\n",
" name = None\n",
"\n",
" if isinstance(results, OptimizeResult):\n",
" n_calls = len(results.x_iters)\n",
" mins = [np.min(results.func_vals[:i])\n",
" for i in range(1, n_calls + 1)]\n",
" ax.plot(range(1, n_calls + 1), mins, c=color,\n",
" marker=\".\", markersize=12, lw=2, label=name)\n",
"\n",
" elif isinstance(results, list):\n",
" n_calls = len(results[0].x_iters)\n",
" iterations = range(1, n_calls + 1)\n",
" mins = [[np.min(r.func_vals[:i]) for i in iterations]\n",
" for r in results]\n",
"\n",
" for m in mins:\n",
" ax.plot(iterations, m, c=color, alpha=0.2)\n",
"\n",
" #ax.plot(iterations, np.mean(mins, axis=0), c=color,\n",
" # marker=\".\", markersize=12, lw=2, label=name)\n",
"\n",
" if true_minimum:\n",
" ax.axhline(true_minimum, linestyle=\"--\",\n",
" color=\"r\", lw=1,\n",
" label=\"True minimum\")\n",
"\n",
" if true_minimum or name:\n",
" ax.legend(loc=\"best\")\n",
"\n",
" return ax"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def objective(space):\n",
" \"\"\"\n",
" Objective function to be minimized by hyperspace.\n",
"\n",
" Parameters\n",
" ----------\n",
" * `space` [list]:\n",
" List of Scikit-Optimize Space instances.\n",
"\n",
" - For more Documentation:\n",
" https://github.com/scikit-optimize/scikit-optimize/blob/master/skopt/space/space.py#L462\n",
"\n",
" Returns\n",
" -------\n",
" * `test_accuracy` [float]:\n",
" Simple accuracy on 10000 test images.\n",
" \"\"\"\n",
" kernel_size1, stride1, dropout1, kernel_size2, stride2, dropout2, learning_rate = space\n",
"\n",
" # Hyper Parameters\n",
" num_epochs = 10\n",
" kernel_size1 = int(kernel_size1)\n",
" stride1 = int(kernel_size1)\n",
" dropout1 = float(dropout1)\n",
" kernel_size2 = int(kernel_size2)\n",
" stride2 = int(stride2)\n",
" dropout2 = float(dropout2)\n",
" learning_rate = float(learning_rate)\n",
"\n",
" cnn = CNN()\n",
" cnn.cuda()\n",
"\n",
" # Loss and Optimizer\n",
" criterion = nn.CrossEntropyLoss()\n",
" optimizer = torch.optim.Adam(cnn.parameters(), lr=learning_rate)\n",
"\n",
" # Train the Model\n",
" for epoch in range(num_epochs):\n",
" for i, (images, labels) in enumerate(train_loader):\n",
" images = Variable(images).cuda()\n",
" labels = Variable(labels).cuda()\n",
"\n",
" # Forward + Backward + Optimize\n",
" optimizer.zero_grad()\n",
" outputs = cnn(images)\n",
" loss = criterion(outputs, labels)\n",
" loss.backward()\n",
" optimizer.step()\n",
" \n",
" if (i+1) % 100 == 0:\n",
" print ('Epoch [%d/%d], Step [%d/%d], Loss: %.4f'\n",
" %(epoch+1, num_epochs, i+1, 60000//100, loss.data[0]))\n",
"\n",
" # Test the Model\n",
" correct = 0\n",
" total = 0\n",
" for images, labels in test_loader:\n",
" images = Variable(images).cuda()\n",
" outputs = cnn(images)\n",
" _, predicted = torch.max(outputs.data, 1)\n",
" total += labels.size(0)\n",
" correct += (predicted.cpu() == labels).sum()\n",
"\n",
" test_accuracy = 100 * correct / total\n",
" test_loss = 100 - test_accuracy\n",
" return test_loss\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of Gaussian processes over gradient boosted regressors: 1\n",
"\n"
]
}
],
"source": [
"from skopt import load\n",
"baseline_path = '/home/yngtodd/run_locally/results_generalization_baseline'\n",
"\n",
"baseline_results = []\n",
"for file in os.listdir(baseline_path):\n",
" full_path = os.path.join(baseline_path, file)\n",
" #print(file)\n",
" baseline_results.append(load(str(full_path)))\n",
"\n",
"print(\"Number of Gaussian processes over gradient boosted regressors: {}\\n\".format(len(baseline_results)))"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of Gaussian processes over gradient boosted regressors: 64\n",
"\n"
]
}
],
"source": [
"from skopt import load\n",
"res_path = '/home/yngtodd/run_locally/results_generalization'\n",
"\n",
"hyper_res = []\n",
"for file in os.listdir(res_path):\n",
" full_path = os.path.join(res_path, file)\n",
" #print(file)\n",
" hyper_res.append(load(str(full_path)))\n",
"\n",
"print(\"Number of Gaussian processes over gradient boosted regressors: {}\\n\".format(len(hyper_res)))"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f6b50da5c88>"
]
},
"execution_count": 75,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA7YAAAM4CAYAAAD4QH4wAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f6b509e0358>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig=plt.figure(figsize=(16, 14))\n",
"\n",
"plot_convergence(hyper_res,\n",
" ('baseline',baseline_results[0]))"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"results_sorted = sorted(hyper_res, key=lambda result: result.fun)\n",
"results_sorted_reverse = sorted(hyper_res, key=lambda result: result.fun, reverse=True)"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"best hyperspace test loss: 0.7099999999999937\n",
"best hyperspace test accuracy 99.29\n"
]
}
],
"source": [
"best = results_sorted[0].fun\n",
"hyper_test_accuracy = 100 - best\n",
"\n",
"print('best hyperspace test loss: {}'.format(best))\n",
"print('best hyperspace test accuracy {}'.format(hyper_test_accuracy))"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"baseline test loss (100 - Accuracy): 0.7999999999999972\n",
"baseline test accuracy: 99.2\n"
]
}
],
"source": [
"baseline = baseline_results[0].fun\n",
"test_accuracy = 100-baseline\n",
"\n",
"print('baseline test loss (100 - Accuracy): {}'.format(baseline))\n",
"print('baseline test accuracy: {}'.format(test_accuracy))"
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"11.9205298013\n"
]
}
],
"source": [
"difference = baseline - best\n",
"average = (baseline + best)/2\n",
"\n",
"percent_difference = difference/average * 100\n",
"# Percent difference from best score to baseline\n",
"print(percent_difference)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment