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{ | |
"metadata": { | |
"name": "missing_classification" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"from scipy.io import loadmat\n", | |
"from sklearn.preprocessing import StandardScaler\n", | |
"import tc\n", | |
"\n", | |
"graph = tc.data_sources.imagenet.load_ilsvrc65()\n", | |
"val_data = loadmat('test/support/temp.mat')\n", | |
"test_data = loadmat('test/support/temp_test.mat')\n", | |
"X_val = val_data['leaf_probs']\n", | |
"y_val = val_data['labels'] - 1\n", | |
"scaler = StandardScaler().fit(X_val)\n", | |
"X_val = scaler.transform(X_val)\n", | |
"X = test_data['leaf_probs']\n", | |
"X = scaler.transform(X)\n", | |
"y = test_data['labels'] - 1" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 161 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"print('X_val shape: {}'.format(X_val.shape))\n", | |
"print('X shape: {}'.format(X.shape))\n", | |
"\n", | |
"C_val = np.corrcoef(X_val.T)\n", | |
"fig = plt.figure(figsize=(20,5))\n", | |
"ax = fig.add_subplot(141)\n", | |
"mat = ax.matshow(C_val, cmap=plt.get_cmap('Reds'))\n", | |
"plt.colorbar(mat)\n", | |
"ax.set_title('Val corrcoef')\n", | |
"ax = fig.add_subplot(142)\n", | |
"C_test = np.corrcoef(X.T)\n", | |
"mat = ax.matshow(C_test, cmap=plt.get_cmap('Reds'))\n", | |
"plt.colorbar(mat)\n", | |
"ax.set_title('Test corrcoef')\n", | |
"ax = fig.add_subplot(143)\n", | |
"mat = ax.matshow(X_val[:57], cmap=plt.get_cmap('RdBu_r'), vmin=-20, vmax=20)\n", | |
"plt.colorbar(mat)\n", | |
"ax.set_title('Val scaled (first 57 instances)')\n", | |
"ax = fig.add_subplot(144)\n", | |
"mat = ax.matshow(X[:57], cmap=plt.get_cmap('RdBu_r'), vmin=-20, vmax=20)\n", | |
"plt.colorbar(mat)\n", | |
"ax.set_title('Test scaled (first 57 instances)')" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"X_val shape: (2850, 57)\n", | |
"X shape: (8550, 57)\n" | |
] | |
}, | |
{ | |
"output_type": "pyout", | |
"prompt_number": 162, | |
"text": [ | |
"<matplotlib.text.Text at 0x114e80f10>" | |
] | |
}, | |
{ | |
"output_type": "display_data", | |
"png": 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V1cFsNsPDw0PZ3+joaBw/fhx1dXXNrltWVoZvvvkGtbW1KCoqwksvvYQzZ87g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\n2cJFeRd67rzzTnznO9/BiRPqxXpwcBCLFqUeRBctW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KMnG8JFFYHoQOiwxQ5bdCBs6Q9b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\nUAmDHgAAAIBK/A2mjcLIQkJP5QAAAABJRU5ErkJggg==\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x138f93790>" | |
] | |
} | |
], | |
"prompt_number": 162 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"from sklearn.metrics import accuracy_score\n", | |
"from collections import defaultdict\n", | |
"import time\n", | |
"import bottleneck as bn\n", | |
"from sklearn.linear_model import Ridge\n", | |
"\n", | |
"def get_mse_and_acc(Xp, method):\n", | |
" mse = np.power(Xp - X, 2).sum()\n", | |
" acc = accuracy_score(y, Xp.argmax(1))\n", | |
" return mse, acc\n", | |
"\n", | |
"C = np.corrcoef(X_val.T)\n", | |
"S = np.cov(X_val.T)\n", | |
"\n", | |
"budgets = [0, .1, .2, .3, .4, .5, .6, .7, .8, .9, 1]\n", | |
"results = defaultdict(dict)\n", | |
"for budget in budgets:\n", | |
" print budget\n", | |
" mask = np.random.rand(*X.shape) > budget\n", | |
" \n", | |
" # mean fill (since the data is 0-meaned, just set to 0)\n", | |
" Xp = X.copy()\n", | |
" t = time.time()\n", | |
" Xp[mask] = 0\n", | |
" mse, acc = get_mse_and_acc(Xp, 'mean')\n", | |
" results['zero'][budget] = {'mse': mse, 'acc': acc, 'time': time.time() - t}\n", | |
" \n", | |
" if budget == 0 or budget == 1:\n", | |
" continue\n", | |
" \n", | |
" # Note: I tried mean+var, but it performed worse\n", | |
" \n", | |
" # hacky correlation-based fill: multiply by the correlation matrix\n", | |
" # and divide by the number of observed elements\n", | |
" Xp = X.copy()\n", | |
" t = time.time()\n", | |
" Xp[mask] = 0\n", | |
" pred = np.dot(Xp, C) / (mask==0).sum(1)[:, np.newaxis]\n", | |
" Xp[mask] = pred[mask]\n", | |
" mse, acc = get_mse_and_acc(Xp, 'corr')\n", | |
" results['corr'][budget] = {'mse': mse, 'acc': acc, 'time': time.time() - t}\n", | |
" \n", | |
" # nn-based fill (dot product similarity)\n", | |
" Xp = X.copy()\n", | |
" t = time.time()\n", | |
" Xp[mask] = 0\n", | |
" k = 5\n", | |
" nn_ind = bn.argpartsort(-np.dot(Xp, X_val.T), k, axis=1)[:, :k]\n", | |
" for i in xrange(X.shape[0]):\n", | |
" Xp[i, mask[i]] = np.mean(X_val[nn_ind[i], :], axis=0)[mask[i]]\n", | |
" mse, acc = get_mse_and_acc(Xp, 'knn')\n", | |
" results['knn'][budget] = {'mse': mse, 'acc': acc, 'time': time.time() - t}\n", | |
" \n", | |
" # conditional gaussian fill (condition on observed elements)\n", | |
" Xp = X.copy()\n", | |
" t = time.time()\n", | |
" ctainvs = {}\n", | |
" for i in xrange(X.shape[0]):\n", | |
" obs_ind = ~mask[i, :]\n", | |
" obs_ind_list = tuple(obs_ind.tolist())\n", | |
" if obs_ind_list not in ctainvs:\n", | |
" A = S[np.ix_(obs_ind, obs_ind)]\n", | |
" C_T = S[np.ix_(~obs_ind, obs_ind)]\n", | |
" ctainvs[obs_ind_list] = np.dot(C_T, np.linalg.inv(A))\n", | |
" Xp[i, ~obs_ind] = np.dot(ctainvs[obs_ind_list], X[i, obs_ind])\n", | |
" mse, acc = get_mse_and_acc(Xp, 'gaussian')\n", | |
" results['gaussian'][budget] = {'mse': mse, 'acc': acc, 'time': time.time() - t}\n", | |
" \n", | |
" # linear regression from observed elements\n", | |
" Xp = X.copy()\n", | |
" t = time.time()\n", | |
" Xp[mask] = 0\n", | |
" regrs = {}\n", | |
" for i in xrange(X.shape[0]):\n", | |
" obs_ind = ~mask[i, :]\n", | |
" obs_ind_list = tuple(obs_ind.tolist())\n", | |
" try:\n", | |
" if obs_ind_list not in regrs:\n", | |
" regrs[obs_ind_list] = Ridge().fit(X_val[:, obs_ind], X_val[:, ~obs_ind])\n", | |
" Xp[i, ~obs_ind] = regrs[obs_ind_list].predict(X[i, obs_ind])\n", | |
" except Exception as e:\n", | |
" print(e)\n", | |
" print(X_val[:, obs_ind].shape)\n", | |
" mse, acc = get_mse_and_acc(Xp, 'ridge')\n", | |
" results['ridge'][budget] = {'mse': mse, 'acc': acc, 'time': time.time() - t}\n" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"0\n", | |
"0.1\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"failed in converting 2nd argument `b' of _flapack.dposv to C/Fortran array" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"0.2\n", | |
"0.3" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"0.4" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"0.5" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"0.6" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"0.7" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"0.8" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"0.9" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"1" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n" | |
] | |
} | |
], | |
"prompt_number": 174 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import pandas\n", | |
"panel = pandas.Panel.from_dict(results)\n", | |
"\n", | |
"fig = plt.figure(figsize=(20,5))\n", | |
"\n", | |
"ax = fig.add_subplot(131)\n", | |
"ax = panel.loc[:, 'mse', :].plot(marker='s', ax=ax)\n", | |
"ax.set_xlabel('Budget')\n", | |
"ax.set_ylabel('mean squared error')\n", | |
"\n", | |
"ax = fig.add_subplot(132)\n", | |
"panel.loc[:, 'acc', :].plot(marker='s', ax=ax)\n", | |
"ax.set_xlabel('Budget')\n", | |
"ax.set_ylabel('Raw Accuracy')\n", | |
"\n", | |
"ax = fig.add_subplot(133)\n", | |
"panel.loc[:, 'time', :].plot(marker='s', ax=ax)\n", | |
"ax.set_xlabel('Budget')\n", | |
"ax.set_ylabel('Time')" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "pyout", | |
"prompt_number": 175, | |
"text": [ | |
"<matplotlib.text.Text at 0x10ee6f790>" | |
] | |
}, | |
{ | |
"output_type": "display_data", | |
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j5Fixe3cy4eEeNSYZJYQQonzcz77PoG2DaGPfpkonox5HuSakgEJZsf3792sn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\nRi9rawbYyMRpQgghhKjaFP3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PTsLDPVm27AF+fjIvmBA12bcXv8XnGx8muk7E391fJuH+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\niREmT54sb4Ay6SgPDQ0NwgMPPCDExsYKt99+u5CTk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| |
"text": [ | |
"<matplotlib.figure.Figure at 0x1382d6390>" | |
] | |
} | |
], | |
"prompt_number": 175 | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
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