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feat(warmup): changed warmup and re-ran all notebooks using run_notebooks.sh
1 parent 37795c4 commit d505a1e

27 files changed

+6978
-6729
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notebooks/analysis.ipynb

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notebooks/choosing_cores.ipynb

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notebooks/choosing_replications.ipynb

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notebooks/choosing_warmup.ipynb

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notebooks/generate_exp_results.ipynb

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@@ -815,8 +815,8 @@
815815
" <tr>\n",
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" <th>0</th>\n",
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" <td>1</td>\n",
818-
" <td>9.842380</td>\n",
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818+
" <td>10.038295</td>\n",
819+
" <td>10.038295</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
@@ -826,8 +826,8 @@
826826
" <tr>\n",
827827
" <th>1</th>\n",
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" <td>2</td>\n",
829-
" <td>10.060424</td>\n",
830-
" <td>9.951402</td>\n",
829+
" <td>10.224439</td>\n",
830+
" <td>10.131367</td>\n",
831831
" <td>NaN</td>\n",
832832
" <td>NaN</td>\n",
833833
" <td>NaN</td>\n",
@@ -837,34 +837,34 @@
837837
" <tr>\n",
838838
" <th>2</th>\n",
839839
" <td>3</td>\n",
840-
" <td>9.925090</td>\n",
841-
" <td>9.942631</td>\n",
842-
" <td>0.110075</td>\n",
843-
" <td>9.669189</td>\n",
844-
" <td>10.216073</td>\n",
845-
" <td>0.027502</td>\n",
840+
" <td>9.901037</td>\n",
841+
" <td>10.054590</td>\n",
842+
" <td>0.162316</td>\n",
843+
" <td>9.651375</td>\n",
844+
" <td>10.457806</td>\n",
845+
" <td>0.040103</td>\n",
846846
" <td>mean_time_with_nurse</td>\n",
847847
" </tr>\n",
848848
" <tr>\n",
849849
" <th>3</th>\n",
850850
" <td>4</td>\n",
851-
" <td>9.938504</td>\n",
852-
" <td>9.941599</td>\n",
853-
" <td>0.089900</td>\n",
854-
" <td>9.798549</td>\n",
855-
" <td>10.084650</td>\n",
856-
" <td>0.014389</td>\n",
851+
" <td>10.002341</td>\n",
852+
" <td>10.041528</td>\n",
853+
" <td>0.135081</td>\n",
854+
" <td>9.826584</td>\n",
855+
" <td>10.256472</td>\n",
856+
" <td>0.021405</td>\n",
857857
" <td>mean_time_with_nurse</td>\n",
858858
" </tr>\n",
859859
" <tr>\n",
860860
" <th>4</th>\n",
861861
" <td>5</td>\n",
862-
" <td>10.016611</td>\n",
863-
" <td>9.956602</td>\n",
864-
" <td>0.084775</td>\n",
865-
" <td>9.851339</td>\n",
866-
" <td>10.061864</td>\n",
867-
" <td>0.010572</td>\n",
862+
" <td>10.011373</td>\n",
863+
" <td>10.035497</td>\n",
864+
" <td>0.117758</td>\n",
865+
" <td>9.889281</td>\n",
866+
" <td>10.181713</td>\n",
867+
" <td>0.014570</td>\n",
868868
" <td>mean_time_with_nurse</td>\n",
869869
" </tr>\n",
870870
" <tr>\n",
@@ -881,56 +881,56 @@
881881
" <tr>\n",
882882
" <th>35</th>\n",
883883
" <td>36</td>\n",
884-
" <td>0.492981</td>\n",
885-
" <td>0.497883</td>\n",
886-
" <td>0.007143</td>\n",
887-
" <td>0.495466</td>\n",
888-
" <td>0.500300</td>\n",
889-
" <td>0.004854</td>\n",
884+
" <td>0.490657</td>\n",
885+
" <td>0.496990</td>\n",
886+
" <td>0.007191</td>\n",
887+
" <td>0.494557</td>\n",
888+
" <td>0.499423</td>\n",
889+
" <td>0.004896</td>\n",
890890
" <td>mean_nurse_utilisation</td>\n",
891891
" </tr>\n",
892892
" <tr>\n",
893893
" <th>36</th>\n",
894894
" <td>37</td>\n",
895-
" <td>0.508118</td>\n",
896-
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897-
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898-
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899-
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900-
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895+
" <td>0.506302</td>\n",
896+
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897+
" <td>0.007254</td>\n",
898+
" <td>0.494823</td>\n",
899+
" <td>0.499660</td>\n",
900+
" <td>0.004864</td>\n",
901901
" <td>mean_nurse_utilisation</td>\n",
902902
" </tr>\n",
903903
" <tr>\n",
904904
" <th>37</th>\n",
905905
" <td>38</td>\n",
906-
" <td>0.502153</td>\n",
907-
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908-
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909-
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910-
" <td>0.500622</td>\n",
911-
" <td>0.004731</td>\n",
906+
" <td>0.508797</td>\n",
907+
" <td>0.497546</td>\n",
908+
" <td>0.007396</td>\n",
909+
" <td>0.495115</td>\n",
910+
" <td>0.499977</td>\n",
911+
" <td>0.004886</td>\n",
912912
" <td>mean_nurse_utilisation</td>\n",
913913
" </tr>\n",
914914
" <tr>\n",
915915
" <th>38</th>\n",
916916
" <td>39</td>\n",
917-
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918-
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919-
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920-
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921-
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922-
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917+
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918+
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919+
" <td>0.007326</td>\n",
920+
" <td>0.495273</td>\n",
921+
" <td>0.500022</td>\n",
922+
" <td>0.004772</td>\n",
923923
" <td>mean_nurse_utilisation</td>\n",
924924
" </tr>\n",
925925
" <tr>\n",
926926
" <th>39</th>\n",
927927
" <td>40</td>\n",
928-
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929-
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930-
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931-
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932-
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933-
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928+
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929+
" <td>0.497807</td>\n",
930+
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931+
" <td>0.495472</td>\n",
932+
" <td>0.500143</td>\n",
933+
" <td>0.004691</td>\n",
934934
" <td>mean_nurse_utilisation</td>\n",
935935
" </tr>\n",
936936
" </tbody>\n",
@@ -940,30 +940,30 @@
940940
],
941941
"text/plain": [
942942
" replications data cumulative_mean stdev lower_ci upper_ci \\\n",
943-
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944-
"1 2 10.060424 9.951402 NaN NaN NaN \n",
945-
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946-
"3 4 9.938504 9.941599 0.089900 9.798549 10.084650 \n",
947-
"4 5 10.016611 9.956602 0.084775 9.851339 10.061864 \n",
943+
"0 1 10.038295 10.038295 NaN NaN NaN \n",
944+
"1 2 10.224439 10.131367 NaN NaN NaN \n",
945+
"2 3 9.901037 10.054590 0.162316 9.651375 10.457806 \n",
946+
"3 4 10.002341 10.041528 0.135081 9.826584 10.256472 \n",
947+
"4 5 10.011373 10.035497 0.117758 9.889281 10.181713 \n",
948948
".. ... ... ... ... ... ... \n",
949-
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950-
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951-
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952-
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953-
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949+
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950+
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951+
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952+
"38 39 0.501514 0.497647 0.007326 0.495273 0.500022 \n",
953+
"39 40 0.504045 0.497807 0.007302 0.495472 0.500143 \n",
954954
"\n",
955955
" deviation metric \n",
956956
"0 NaN mean_time_with_nurse \n",
957957
"1 NaN mean_time_with_nurse \n",
958-
"2 0.027502 mean_time_with_nurse \n",
959-
"3 0.014389 mean_time_with_nurse \n",
960-
"4 0.010572 mean_time_with_nurse \n",
958+
"2 0.040103 mean_time_with_nurse \n",
959+
"3 0.021405 mean_time_with_nurse \n",
960+
"4 0.014570 mean_time_with_nurse \n",
961961
".. ... ... \n",
962-
"35 0.004854 mean_nurse_utilisation \n",
963-
"36 0.004847 mean_nurse_utilisation \n",
964-
"37 0.004731 mean_nurse_utilisation \n",
965-
"38 0.004607 mean_nurse_utilisation \n",
966-
"39 0.004694 mean_nurse_utilisation \n",
962+
"35 0.004896 mean_nurse_utilisation \n",
963+
"36 0.004864 mean_nurse_utilisation \n",
964+
"37 0.004886 mean_nurse_utilisation \n",
965+
"38 0.004772 mean_nurse_utilisation \n",
966+
"39 0.004691 mean_nurse_utilisation \n",
967967
"\n",
968968
"[120 rows x 8 columns]"
969969
]
@@ -1015,22 +1015,8 @@
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}
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],
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1018-
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1021-
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1019+
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