From 4d09f73ce8ad0fa3e9b48b0a8ce869222508301e Mon Sep 17 00:00:00 2001 From: Jacqueline Buros Date: Fri, 11 Jan 2019 12:39:05 -0500 Subject: [PATCH] update notebook --- ...odel_timevarying with simulated data.ipynb | 210 ++++++++++++++---- 1 file changed, 170 insertions(+), 40 deletions(-) diff --git a/example-notebooks/Test pem_survival_model_timevarying with simulated data.ipynb b/example-notebooks/Test pem_survival_model_timevarying with simulated data.ipynb index 1afdf8d..e351863 100644 --- a/example-notebooks/Test pem_survival_model_timevarying with simulated data.ipynb +++ b/example-notebooks/Test pem_survival_model_timevarying with simulated data.ipynb @@ -270,7 +270,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:stancache.stancache:sim_data_exp_correlated: cache_filename set to sim_data_exp_correlated.cached.N_100.censor_time_20.rate_coefs_54462717316.rate_form_1 + sex.pkl\n", + "INFO:stancache.stancache:sim_data_exp_correlated: cache_filename set to sim_data_exp_correlated.cached.N_100.censor_time_20.rate_coefs_54462717316.rate_form_1 + sex.pkl\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ "INFO:stancache.stancache:sim_data_exp_correlated: Loading result from cache\n" ] }, @@ -401,7 +407,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 4, @@ -438,7 +444,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:stancache.stancache:prep_data_long_surv: cache_filename set to prep_data_long_surv.cached.df_14209590808.event_col_event.time_col_t.pkl\n", + "INFO:stancache.stancache:prep_data_long_surv: cache_filename set to prep_data_long_surv.cached.df_14209590808.event_col_event.time_col_t.pkl\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ "INFO:stancache.stancache:prep_data_long_surv: Loading result from cache\n" ] } @@ -597,11 +609,41 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:stancache.stancache:Step 1: Get compiled model code, possibly from cache\n", - "INFO:stancache.stancache:StanModel: cache_filename set to anon_model.cython_0_29_2.model_code_10216236489136838232.pystan_2_18_1_0.stanmodel.pkl\n", - "INFO:stancache.stancache:StanModel: Loading result from cache\n", - "INFO:stancache.stancache:Step 2: Get posterior draws from model, possibly from cache\n", - "INFO:stancache.stancache:sampling: cache_filename set to anon_model.cython_0_29_2.model_code_10216236489136838232.pystan_2_18_1_0.stanfit.chains_4.data_98562805320.iter_10000.seed_9001.pkl\n", + "INFO:stancache.stancache:Step 1: Get compiled model code, possibly from cache\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:stancache.stancache:StanModel: cache_filename set to anon_model.cython_0_29_2.model_code_10216236489136838232.pystan_2_18_1_0.stanmodel.pkl\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:stancache.stancache:StanModel: Loading result from cache\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:stancache.stancache:Step 2: Get posterior draws from model, possibly from cache\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:stancache.stancache:sampling: cache_filename set to anon_model.cython_0_29_2.model_code_10216236489136838232.pystan_2_18_1_0.stanfit.chains_4.data_98562805320.iter_10000.seed_9001.pkl\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ "INFO:stancache.stancache:sampling: Loading result from cache\n" ] } @@ -745,7 +787,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 12, @@ -1021,30 +1063,112 @@ }, "outputs": [ { - "ename": "ValueError", - "evalue": "No objects to concatenate", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfirst_beta\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msurvivalstan\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mutils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextract_time_betas\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtestfit\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcoefs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'sex[T.male]'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mfirst_beta\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/projects/survivalstan/survivalstan/utils.py\u001b[0m in \u001b[0;36mextract_time_betas\u001b[0;34m(models, element, value_name, **kwargs)\u001b[0m\n\u001b[1;32m 90\u001b[0m \u001b[0melement\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0melement\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 91\u001b[0m value_name=value_name, **kwargs)\n\u001b[0;32m---> 92\u001b[0;31m for model in models]\n\u001b[0m\u001b[1;32m 93\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconcat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 94\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/projects/survivalstan/survivalstan/utils.py\u001b[0m in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 90\u001b[0m \u001b[0melement\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0melement\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 91\u001b[0m value_name=value_name, **kwargs)\n\u001b[0;32m---> 92\u001b[0;31m for model in models]\n\u001b[0m\u001b[1;32m 93\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconcat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 94\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/projects/survivalstan/survivalstan/utils.py\u001b[0m in \u001b[0;36m_extract_time_betas_single_model\u001b[0;34m(stanmodel, element, coefs, value_name, timepoint_id_col, timepoint_end_col)\u001b[0m\n\u001b[1;32m 139\u001b[0m \u001b[0mtb_df\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'coef'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcoef_names\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 140\u001b[0m \u001b[0mtime_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtb_df\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 141\u001b[0;31m \u001b[0mtime_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconcat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtime_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 142\u001b[0m timepoint_data = (stanmodel['df']\n\u001b[1;32m 143\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mtimepoint_id_col\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimepoint_end_col\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/srv/conda/lib/python3.6/site-packages/pandas/core/reshape/concat.py\u001b[0m in \u001b[0;36mconcat\u001b[0;34m(objs, axis, join, join_axes, ignore_index, keys, levels, names, verify_integrity, sort, copy)\u001b[0m\n\u001b[1;32m 223\u001b[0m \u001b[0mkeys\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkeys\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevels\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlevels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnames\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnames\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 224\u001b[0m \u001b[0mverify_integrity\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mverify_integrity\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 225\u001b[0;31m copy=copy, sort=sort)\n\u001b[0m\u001b[1;32m 226\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 227\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/srv/conda/lib/python3.6/site-packages/pandas/core/reshape/concat.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, objs, axis, join, join_axes, keys, levels, names, ignore_index, verify_integrity, copy, sort)\u001b[0m\n\u001b[1;32m 257\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 258\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobjs\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 259\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'No objects to concatenate'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 260\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 261\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mkeys\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - 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iter_timepoint_idbetacoefend_timeexp(beta)model_cohort
0011.303891sex0.0097873.683601test model
1110.349997sex0.0097871.419063test model
2210.348042sex0.0097871.416292test model
3310.200147sex0.0097871.221583test model
4410.189725sex0.0097871.208917test model
\n", + "
" + ], + "text/plain": [ + " iter _timepoint_id beta coef end_time exp(beta) model_cohort\n", + "0 0 1 1.303891 sex 0.009787 3.683601 test model\n", + "1 1 1 0.349997 sex 0.009787 1.419063 test model\n", + "2 2 1 0.348042 sex 0.009787 1.416292 test model\n", + "3 3 1 0.200147 sex 0.009787 1.221583 test model\n", + "4 4 1 0.189725 sex 0.009787 1.208917 test model" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "first_beta = survivalstan.utils.extract_time_betas([testfit], coefs=['sex[T.male]'])\n", + "first_beta = survivalstan.utils.extract_time_betas([testfit], coefs=['sex'])\n", "first_beta.head()" ] }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 19, "metadata": { "collapsed": false }, @@ -1052,49 +1176,53 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 30, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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2n3/uuZr94ovPIrZP0Uyga5pQz6cuaKiTrbNSxHNistna/Z6EqSoV35O/w+E8+cuNyqGg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\n4gGcCHQDjgOWAsuBr9xfpYHYmW6bMwc9nxdJ2PFeHuPif+edtyLh3n7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oyo7nsMN+WCf5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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", - "sns.boxplot(data=first_beta, x='timepoint_id', y='beta')" + "sns.boxplot(data=first_beta, x='_timepoint_id', y='beta')" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 20, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": 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gQklXl/lZU2Pu299v/g7rG6B5TnY7fX2mPjA1hi2oeB5WdTWBFYYR2zb/ampy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\nzIrzP6ntRIaY7FF0AAAAAElFTkSuQmCC\n", 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "survivalstan.utils.plot_time_betas(models=[testfit], y='beta', x='end_time', coefs=['sex[T.male]'])" + "survivalstan.utils.plot_time_betas(models=[testfit], y='beta', x='end_time', coefs=['sex'])" ] }, { @@ -1106,19 +1234,21 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 21, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": 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3Cy6G93mVjwKnpwhGRuz2oK2dsLUFJqdg6xb7nhYex0/05zu25s2b7L/DgNC7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\nErC1AXVVY5i5A9/+zBzH1GgrgLilBM/zpoATgIe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\n", 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