Files
FYS-STK4155/doc/Programs/JupyterFiles/Examples/Scikit-Learn Website Examples/Stochastic Losses Scikit-Learn.ipynb
T
2018-05-06 22:19:59 -04:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Automatically created module for IPython interactive environment\n",
"\n",
"learning on dataset iris\n",
"training: constant learning-rate\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/anaconda3/lib/python3.6/site-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (400) reached and the optimization hasn't converged yet.\n",
" % self.max_iter, ConvergenceWarning)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Training set score: 0.980000\n",
"Training set loss: 0.096922\n",
"training: constant with momentum\n",
"Training set score: 0.980000\n",
"Training set loss: 0.050260\n",
"training: constant with Nesterov's momentum\n",
"Training set score: 0.980000\n",
"Training set loss: 0.050277\n",
"training: inv-scaling learning-rate\n",
"Training set score: 0.360000\n",
"Training set loss: 0.979983\n",
"training: inv-scaling with momentum\n",
"Training set score: 0.860000\n",
"Training set loss: 0.504017\n",
"training: inv-scaling with Nesterov's momentum\n",
"Training set score: 0.860000\n",
"Training set loss: 0.504760\n",
"training: adam\n",
"Training set score: 0.980000\n",
"Training set loss: 0.046248\n",
"\n",
"learning on dataset digits\n",
"training: constant learning-rate\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/anaconda3/lib/python3.6/site-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (15) reached and the optimization hasn't converged yet.\n",
" % self.max_iter, ConvergenceWarning)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Training set score: 0.956038\n",
"Training set loss: 0.243802\n",
"training: constant with momentum\n",
"Training set score: 0.992766\n",
"Training set loss: 0.041297\n",
"training: constant with Nesterov's momentum\n",
"Training set score: 0.993879\n",
"Training set loss: 0.042898\n",
"training: inv-scaling learning-rate\n",
"Training set score: 0.638843\n",
"Training set loss: 1.855465\n",
"training: inv-scaling with momentum\n",
"Training set score: 0.912632\n",
"Training set loss: 0.290584\n",
"training: inv-scaling with Nesterov's momentum\n",
"Training set score: 0.909293\n",
"Training set loss: 0.318387\n",
"training: adam\n",
"Training set score: 0.991653\n",
"Training set loss: 0.045934\n",
"\n",
"learning on dataset circles\n",
"training: constant learning-rate\n",
"Training set score: 0.830000\n",
"Training set loss: 0.681498\n",
"training: constant with momentum\n",
"Training set score: 0.940000\n",
"Training set loss: 0.163712\n",
"training: constant with Nesterov's momentum\n",
"Training set score: 0.940000\n",
"Training set loss: 0.163012\n",
"training: inv-scaling learning-rate\n",
"Training set score: 0.500000\n",
"Training set loss: 0.692855\n",
"training: inv-scaling with momentum\n",
"Training set score: 0.510000\n",
"Training set loss: 0.688376\n",
"training: inv-scaling with Nesterov's momentum\n",
"Training set score: 0.500000\n",
"Training set loss: 0.688593\n",
"training: adam\n",
"Training set score: 0.930000\n",
"Training set loss: 0.159988\n",
"\n",
"learning on dataset moons\n",
"training: constant learning-rate\n",
"Training set score: 0.850000\n",
"Training set loss: 0.342245\n",
"training: constant with momentum\n",
"Training set score: 0.850000\n",
"Training set loss: 0.345580\n",
"training: constant with Nesterov's momentum\n",
"Training set score: 0.850000\n",
"Training set loss: 0.336284\n",
"training: inv-scaling learning-rate\n",
"Training set score: 0.500000\n",
"Training set loss: 0.689729\n",
"training: inv-scaling with momentum\n",
"Training set score: 0.830000\n",
"Training set loss: 0.512595\n",
"training: inv-scaling with Nesterov's momentum\n",
"Training set score: 0.830000\n",
"Training set loss: 0.513034\n",
"training: adam\n",
"Training set score: 0.850000\n",
"Training set loss: 0.334243\n"
]
},
{
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QI/aisCwLhmGeqPdKXV3dh+OzLPdrUFBQRWJiYsauXbuMJ0yY4DRt2rT8xu3/4+PjhQkJ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\nDcO42DAMs2EYHQzD+L0ugz4VnbQFA6dJ2mJiwN//jMVIqmv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jL9ObpL3+FBXB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g7NmzJqf5E56e8MILsG4d/Pij2WmEEMKqpGgTJe6++25uvfVWpkyZQmZmpikZbr0VRo6EBQvg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\nV1kscHkpPg8Pc7OIqs3V1ZWuXbv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"text/plain": [
"<matplotlib.figure.Figure at 0x105e2f9b0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(__doc__)\n",
"import matplotlib.pyplot as plt\n",
"from sklearn.neural_network import MLPClassifier\n",
"from sklearn.preprocessing import MinMaxScaler\n",
"from sklearn import datasets\n",
"\n",
"# different learning rate schedules and momentum parameters\n",
"params = [{'solver': 'sgd', 'learning_rate': 'constant', 'momentum': 0,\n",
" 'learning_rate_init': 0.2},\n",
" {'solver': 'sgd', 'learning_rate': 'constant', 'momentum': .9,\n",
" 'nesterovs_momentum': False, 'learning_rate_init': 0.2},\n",
" {'solver': 'sgd', 'learning_rate': 'constant', 'momentum': .9,\n",
" 'nesterovs_momentum': True, 'learning_rate_init': 0.2},\n",
" {'solver': 'sgd', 'learning_rate': 'invscaling', 'momentum': 0,\n",
" 'learning_rate_init': 0.2},\n",
" {'solver': 'sgd', 'learning_rate': 'invscaling', 'momentum': .9,\n",
" 'nesterovs_momentum': True, 'learning_rate_init': 0.2},\n",
" {'solver': 'sgd', 'learning_rate': 'invscaling', 'momentum': .9,\n",
" 'nesterovs_momentum': False, 'learning_rate_init': 0.2},\n",
" {'solver': 'adam', 'learning_rate_init': 0.01}]\n",
"\n",
"labels = [\"constant learning-rate\", \"constant with momentum\",\n",
" \"constant with Nesterov's momentum\",\n",
" \"inv-scaling learning-rate\", \"inv-scaling with momentum\",\n",
" \"inv-scaling with Nesterov's momentum\", \"adam\"]\n",
"\n",
"plot_args = [{'c': 'red', 'linestyle': '-'},\n",
" {'c': 'green', 'linestyle': '-'},\n",
" {'c': 'blue', 'linestyle': '-'},\n",
" {'c': 'red', 'linestyle': '--'},\n",
" {'c': 'green', 'linestyle': '--'},\n",
" {'c': 'blue', 'linestyle': '--'},\n",
" {'c': 'black', 'linestyle': '-'}]\n",
"\n",
"\n",
"def plot_on_dataset(X, y, ax, name):\n",
" # for each dataset, plot learning for each learning strategy\n",
" print(\"\\nlearning on dataset %s\" % name)\n",
" ax.set_title(name)\n",
" X = MinMaxScaler().fit_transform(X)\n",
" mlps = []\n",
" if name == \"digits\":\n",
" # digits is larger but converges fairly quickly\n",
" max_iter = 15\n",
" else:\n",
" max_iter = 400\n",
"\n",
" for label, param in zip(labels, params):\n",
" print(\"training: %s\" % label)\n",
" mlp = MLPClassifier(verbose=0, random_state=0,\n",
" max_iter=max_iter, **param)\n",
" mlp.fit(X, y)\n",
" mlps.append(mlp)\n",
" print(\"Training set score: %f\" % mlp.score(X, y))\n",
" print(\"Training set loss: %f\" % mlp.loss_)\n",
" for mlp, label, args in zip(mlps, labels, plot_args):\n",
" ax.plot(mlp.loss_curve_, label=label, **args)\n",
"\n",
"\n",
"fig, axes = plt.subplots(2, 2, figsize=(15, 10))\n",
"# load / generate some toy datasets\n",
"iris = datasets.load_iris()\n",
"digits = datasets.load_digits()\n",
"data_sets = [(iris.data, iris.target),\n",
" (digits.data, digits.target),\n",
" datasets.make_circles(noise=0.2, factor=0.5, random_state=1),\n",
" datasets.make_moons(noise=0.3, random_state=0)]\n",
"\n",
"for ax, data, name in zip(axes.ravel(), data_sets, ['iris', 'digits',\n",
" 'circles', 'moons']):\n",
" plot_on_dataset(*data, ax=ax, name=name)\n",
"\n",
"fig.legend(ax.get_lines(), labels, ncol=3, loc=\"upper center\")\n",
"plt.show()"
]
},
{
"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": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}