ncalls tottime percall cumtime percall filename:lineno(function)
18 0.000 0.000 0.000 0.000 :0(__subclasses__)
102362 0.140 0.000 0.140 0.000 :0(abs)
14 0.000 0.000 0.000 0.000 :0(acquire)
38 0.000 0.000 0.000 0.000 :0(add)
2 0.000 0.000 0.000 0.000 :0(all)
2 0.000 0.000 0.000 0.000 :0(allocate_lock)
9 0.000 0.000 0.000 0.000 :0(any)
4108327 9.644 0.000 9.644 0.000 :0(append)
5 0.000 0.000 0.000 0.000 :0(arange)
2 0.000 0.000 0.000 0.000 :0(argsort)
2036 13.908 0.007 13.908 0.007 :0(array)
11 0.000 0.000 0.000 0.000 :0(astype)
9 0.000 0.000 0.000 0.000 :0(bincount)
22 0.000 0.000 0.000 0.000 :0(can_cast)
1 0.000 0.000 0.000 0.000 :0(ceil)
4 0.000 0.000 0.000 0.000 :0(compile)
953000 35.340 0.000 35.340 0.000 :0(concatenate)
2 0.000 0.000 0.000 0.000 :0(coo_tocsr)
26 0.000 0.000 0.000 0.000 :0(copy)
6 0.000 0.000 0.000 0.000 :0(copyto)
5 0.000 0.000 0.000 0.000 :0(csc_tocsr)
12 0.000 0.000 0.000 0.000 :0(csr_has_sorted_indices)
5 0.000 0.000 0.000 0.000 :0(csr_matmat_pass1)
5 0.000 0.000 0.000 0.000 :0(csr_matmat_pass2)
1 0.000 0.000 0.000 0.000 :0(csr_matvec)
10 0.008 0.001 0.008 0.001 :0(csr_sort_indices)
2 0.000 0.000 0.000 0.000 :0(csr_sum_duplicates)
5 0.000 0.000 0.000 0.000 :0(cumsum)
14 0.000 0.000 0.000 0.000 :0(dumps)
67 0.000 0.000 0.000 0.000 :0(empty)
23736 0.056 0.000 0.056 0.000 :0(end)
10 0.000 0.000 0.000 0.000 :0(endswith)
10 0.000 0.000 0.000 0.000 :0(expandptr)
13 0.004 0.000 0.004 0.000 :0(extend)
99614 0.908 0.000 0.908 0.000 :0(findall)
1905937 34.224 0.000 34.224 0.000 :0(flatten)
4 0.000 0.000 0.000 0.000 :0(from_iterable)
20 0.000 0.000 0.000 0.000 :0(frombuffer)
13961192 33.944 0.000 33.944 0.000 :0(get)
5 0.000 0.000 0.000 0.000 :0(get_csr_submatrix)
4092 0.004 0.000 0.004 0.000 :0(getattr)
12 0.000 0.000 0.000 0.000 :0(geterrobj)
13548688 32.348 0.000 32.348 0.000 :0(groups)
232 0.000 0.000 0.000 0.000 :0(hasattr)
17 0.000 0.000 0.000 0.000 :0(hash)
415315 0.988 0.000 0.988 0.000 :0(isinstance)
2 0.000 0.000 0.000 0.000 :0(islower)
72/48 0.000 0.000 0.000 0.000 :0(issubclass)
20 0.000 0.000 0.000 0.000 :0(item)
4 0.000 0.000 0.000 0.000 :0(items)
3922 0.000 0.000 0.000 0.000 :0(iter)
3921 0.008 0.000 0.008 0.000 :0(iteritems)
1448 0.008 0.000 0.008 0.000 :0(join)
5482 0.012 0.000 0.012 0.000 :0(keys)
1745430/1745408 4.720 0.000 4.720 0.000 :0(len)
906 2.420 0.003 2.420 0.003 :0(listdir)
49811 0.744 0.000 0.744 0.000 :0(lower)
10 0.000 0.000 0.000 0.000 :0(lstat)
318446/15 60.324 0.000 1730.964 115.398 :0(map)
23736 0.140 0.000 0.140 0.000 :0(match)
4812 0.016 0.000 0.024 0.000 :0(max)
10 0.000 0.000 0.000 0.000 :0(mean)
5678 0.016 0.000 0.016 0.000 :0(min)
9 0.000 0.000 0.000 0.000 :0(mro)
68 0.000 0.000 0.000 0.000 :0(newbyteorder)
1 0.000 0.000 0.000 0.000 :0(next)
4 0.628 0.157 0.628 0.157 :0(nonzero)
11870 0.352 0.000 0.352 0.000 :0(open)
89 0.000 0.000 0.000 0.000 :0(ord)
10 0.000 0.000 0.000 0.000 :0(partition)
1 0.000 0.000 0.000 0.000 :0(permutation)
30 0.000 0.000 0.000 0.000 :0(pop)
1 0.000 0.000 0.000 0.000 :0(randint)
2134035 5.168 0.000 5.168 0.000 :0(range)
16 0.000 0.000 0.000 0.000 :0(ravel)
11868 53.852 0.005 53.852 0.005 :0(read)
317791 3.552 0.000 81.576 0.000 :0(reduce)
14 0.000 0.000 0.000 0.000 :0(release)
31 0.000 0.000 0.000 0.000 :0(remove)
13974253 35.392 0.000 35.392 0.000 :0(replace)
1 0.000 0.000 0.000 0.000 :0(reshape)
2 0.000 0.000 0.000 0.000 :0(rfind)
2 0.000 0.000 0.000 0.000 :0(rstrip)
13761938 47.284 0.000 47.284 0.000 :0(search)
6 0.000 0.000 0.000 0.000 :0(searchsorted)
4 0.000 0.000 0.000 0.000 :0(set_verbosity_wrap)
60 0.000 0.000 0.000 0.000 :0(setattr)
6 0.000 0.000 0.000 0.000 :0(seterrobj)
1 0.004 0.004 0.004 0.004 :0(setprofile)
1626 1.304 0.001 2.096 0.001 :0(sort)
1815 1.996 0.001 10.812 0.006 :0(sorted)
1969478 4.440 0.000 4.440 0.000 :0(split)
28 0.000 0.000 0.000 0.000 :0(startswith)
10962 0.212 0.000 0.212 0.000 :0(stat)
4 0.000 0.000 0.000 0.000 :0(sum)
4 0.000 0.000 0.000 0.000 :0(time)
1 1.004 1.004 1.004 1.004 :0(train_wrap)
20 0.000 0.000 0.000 0.000 :0(update)
24724 0.052 0.000 0.052 0.000 :0(upper)
1270599 18.528 0.000 18.528 0.000 :0(zeros)
15 0.016 0.001 0.016 0.001 :0(zip)
1 0.012 0.012 1838.404 1838.404 <string>:1(<module>)
4 0.000 0.000 0.000 0.000 __init__.py:137(safe_indexing)
11868 0.200 0.000 870.100 0.073 __init__.py:257(load)
11868 0.096 0.000 816.048 0.069 __init__.py:293(loads)
6 0.000 0.000 0.000 0.000 __init__.py:457(tosequence)
1 0.000 0.000 0.000 0.000 _abcoll.py:24(_hasattr)
3 0.000 0.000 0.000 0.000 _abcoll.py:26(<genexpr>)
19 0.000 0.000 0.000 0.000 _abcoll.py:98(__subclasshook__)
57 0.000 0.000 0.008 0.000 _methods.py:15(_amax)
61 0.000 0.000 0.000 0.000 _methods.py:19(_amin)
6 0.000 0.000 0.000 0.000 _methods.py:23(_sum)
6 0.000 0.000 0.000 0.000 _methods.py:31(_any)
2 0.000 0.000 0.000 0.000 _methods.py:35(_all)
10 0.000 0.000 0.000 0.000 _methods.py:39(_count_reduce_items)
10 0.000 0.000 0.000 0.000 _methods.py:49(_mean)
19 0.000 0.000 0.000 0.000 _weakrefset.py:16(__init__)
19 0.000 0.000 0.000 0.000 _weakrefset.py:20(__enter__)
19 0.000 0.000 0.000 0.000 _weakrefset.py:26(__exit__)
11 0.000 0.000 0.000 0.000 _weakrefset.py:36(__init__)
19 0.000 0.000 0.000 0.000 _weakrefset.py:52(_commit_removals)
47 0.000 0.000 0.000 0.000 _weakrefset.py:58(__iter__)
92 0.000 0.000 0.000 0.000 _weakrefset.py:70(__contains__)
19 0.000 0.000 0.000 0.000 _weakrefset.py:83(add)
36 0.000 0.000 0.000 0.000 abc.py:128(__instancecheck__)
21/5 0.000 0.000 0.000 0.000 abc.py:148(__subclasscheck__)
20 0.000 0.000 0.000 0.000 arrayprint.py:343(array2string)
6 0.000 0.000 0.000 0.000 arraysetops.py:201(intersect1d)
49 0.000 0.000 0.000 0.000 arraysetops.py:93(unique)
1 0.000 0.000 0.000 0.000 base.py:177(decision_function)
2 0.000 0.000 0.000 0.000 base.py:190(__len__)
7 0.000 0.000 0.000 0.000 base.py:195(asformat)
1 0.004 0.004 0.004 0.004 base.py:210(predict)
6 0.000 0.000 0.004 0.001 base.py:276(__mul__)
7 0.000 0.000 1187.948 169.707 base.py:409(fit_transform)
20 0.000 0.000 0.000 0.000 base.py:426(__getattr__)
68 0.000 0.000 0.000 0.000 base.py:63(__init__)
1 0.000 0.000 0.000 0.000 base.py:639(_get_liblinear_solver_type)
1 0.000 0.000 1.004 1.004 base.py:701(_fit_liblinear)
93 0.004 0.000 0.004 0.000 base.py:702(isspmatrix)
68 0.000 0.000 0.000 0.000 base.py:71(set_shape)
279 0.000 0.000 0.000 0.000 base.py:93(get_shape)
98332 0.296 0.000 0.424 0.000 baseline_model.py:174(<lambda>)
1 5.340 5.340 93.164 93.164 baseline_model.py:21(get_preprocessed_patients)
1 0.000 0.000 0.000 0.000 baseline_model.py:39(change_ef_values_to_categories)
906 0.028 0.000 8.452 0.009 baseline_model.py:59(get_ef_delta)
5 0.000 0.000 0.000 0.000 baseline_model.py:91(get_feature_names)
1 0.704 0.704 1838.392 1838.392 baseline_model.py:94(main)
783 4.724 0.006 142.840 0.182 baseline_transformer.py:110(get_encounters_features)
1 0.000 0.000 0.000 0.000 baseline_transformer.py:174(fit)
2 0.000 0.000 240.212 120.106 baseline_transformer.py:177(transform)
783 4.716 0.006 235.360 0.301 baseline_transformer.py:181(get_labs_counts)
1 0.000 0.000 0.000 0.000 baseline_transformer.py:190(fit)
2 0.000 0.000 241.592 120.796 baseline_transformer.py:193(transform)
783 4.664 0.006 236.892 0.303 baseline_transformer.py:197(get_low_counts)
1 0.000 0.000 0.000 0.000 baseline_transformer.py:206(fit)
2 0.000 0.000 241.736 120.868 baseline_transformer.py:209(transform)
783 4.552 0.006 237.008 0.303 baseline_transformer.py:213(get_high_counts)
1 0.000 0.000 0.000 0.000 baseline_transformer.py:222(fit)
2 0.000 0.000 236.404 118.202 baseline_transformer.py:225(transform)
783 4.636 0.006 231.560 0.296 baseline_transformer.py:229(get_labs_latest_high)
1 0.000 0.000 0.000 0.000 baseline_transformer.py:245(fit)
2 0.000 0.000 245.000 122.500 baseline_transformer.py:248(transform)
783 4.776 0.006 240.124 0.307 baseline_transformer.py:252(get_labs_latest_low)
1 0.000 0.000 0.000 0.000 baseline_transformer.py:89(__init__)
1 0.000 0.000 0.000 0.000 baseline_transformer.py:92(fit)
2 0.000 0.000 147.512 73.756 baseline_transformer.py:95(transform)
1 0.000 0.000 0.000 0.000 baseline_transformer.py:99(get_feature_names)
1 0.000 0.000 0.000 0.000 class_weight.py:12(compute_class_weight)
1 0.000 0.000 0.000 0.000 classification.py:1086(recall_score)
1 0.000 0.000 0.000 0.000 classification.py:112(_weighted_sum)
1 0.000 0.000 0.004 0.004 classification.py:121(accuracy_score)
4 0.000 0.000 0.008 0.002 classification.py:46(_check_targets)
1 0.000 0.000 0.004 0.004 classification.py:479(f1_score)
1 0.000 0.000 0.004 0.004 classification.py:573(fbeta_score)
6 0.000 0.000 0.000 0.000 classification.py:680(_prf_divide)
3 0.000 0.000 0.004 0.001 classification.py:724(precision_recall_fscore_support)
1 0.000 0.000 0.000 0.000 classification.py:994(precision_score)
42 0.000 0.000 0.004 0.000 compressed.py:101(check_format)
42/37 0.008 0.000 0.044 0.001 compressed.py:22(__init__)
1 0.000 0.000 0.000 0.000 compressed.py:480(_mul_vector)
5 0.000 0.000 0.004 0.001 compressed.py:506(_mul_sparse_matrix)
10 0.000 0.000 0.000 0.000 compressed.py:765(tocoo)
2 0.000 0.000 0.000 0.000 compressed.py:807(sum_duplicates)
12 0.000 0.000 0.000 0.000 compressed.py:820(__get_sorted)
15 0.000 0.000 0.000 0.000 compressed.py:836(__set_sorted)
12 0.000 0.000 0.008 0.001 compressed.py:852(sort_indices)
186 0.000 0.000 0.000 0.000 compressed.py:86(getnnz)
44 0.000 0.000 0.000 0.000 compressed.py:861(prune)
5 0.000 0.000 0.000 0.000 compressed.py:90(_set_self)
2 0.000 0.000 6.832 3.416 construct.py:396(hstack)
2 0.012 0.006 6.832 3.416 construct.py:457(bmat)
26/16 0.008 0.000 6.816 0.426 coo.py:115(__init__)
132 0.004 0.000 0.004 0.000 coo.py:195(getnnz)
26 0.000 0.000 0.008 0.000 coo.py:206(_check)
2 0.000 0.000 0.000 0.000 coo.py:286(tocsr)
10 0.000 0.000 0.000 0.000 coo.py:387(isspmatrix_coo)
2 0.000 0.000 0.000 0.000 coo.py:73(coo_tocsr)
1 0.000 0.000 0.000 0.000 cross_validation.py:1711(train_test_split)
3 0.000 0.000 0.000 0.000 cross_validation.py:1815(<genexpr>)
1 0.000 0.000 0.000 0.000 cross_validation.py:752(__init__)
2 0.000 0.000 0.000 0.000 cross_validation.py:780(__iter__)
2 0.000 0.000 0.000 0.000 cross_validation.py:860(_iter_indices)
1 0.000 0.000 0.000 0.000 cross_validation.py:883(_validate_shuffle_split)
5 0.000 0.000 0.000 0.000 csc.py:115(csc_tocsr)
5 0.000 0.000 0.000 0.000 csc.py:128(tocsr)
15 0.000 0.000 0.000 0.000 csc.py:193(_swap)
5 0.000 0.000 0.000 0.000 csr.py:110(transpose)
140 0.000 0.000 0.000 0.000 csr.py:183(_swap)
10/5 0.000 0.000 0.008 0.002 csr.py:188(__getitem__)
5 0.000 0.000 0.000 0.000 csr.py:189(asindices)
5 0.000 0.000 0.000 0.000 csr.py:197(check_bounds)
5 0.000 0.000 0.000 0.000 csr.py:208(extractor)
5 0.000 0.000 0.000 0.000 csr.py:265(csr_matmat_pass2)
1 0.000 0.000 0.000 0.000 csr.py:315(csr_matvec)
5 0.000 0.000 0.004 0.001 csr.py:363(_get_submatrix)
10 0.000 0.000 0.000 0.000 csr.py:368(process_slice)
10 0.000 0.000 0.000 0.000 csr.py:391(check_bounds)
10 0.000 0.000 0.008 0.001 csr.py:586(csr_sort_indices)
2 0.000 0.000 0.000 0.000 csr.py:626(csr_sum_duplicates)
5 0.000 0.000 0.000 0.000 csr.py:646(get_csr_submatrix)
10 0.000 0.000 0.000 0.000 csr.py:73(expandptr)
5 0.000 0.000 0.000 0.000 csr.py:77(csr_matmat_pass1)
12 0.000 0.000 0.000 0.000 csr.py:88(csr_has_sorted_indices)
68 0.000 0.000 0.000 0.000 data.py:22(__init__)
40 0.000 0.000 0.000 0.000 data.py:25(_get_dtype)
11868 0.248 0.000 815.952 0.069 decoder.py:361(decode)
11868 815.484 0.069 815.484 0.069 decoder.py:372(raw_decode)
10 1.992 0.199 4.012 0.401 dict_vectorizer.py:130(_transform)
5 0.000 0.000 2.732 0.546 dict_vectorizer.py:206(fit_transform)
5 0.000 0.000 1.280 0.256 dict_vectorizer.py:267(transform)
5 0.000 0.000 0.000 0.000 dict_vectorizer.py:306(get_feature_names)
5 0.000 0.000 0.000 0.000 dict_vectorizer.py:89(__init__)
1 0.000 0.000 0.000 0.000 extmath.py:171(safe_sparse_dot)
24724 0.084 0.000 0.136 0.000 extract_data.py:162(is_note_doc)
883 0.000 0.000 0.000 0.000 extract_data.py:165(get_date_key)
6387 0.148 0.000 0.976 0.000 extract_data.py:6(get_operation_date)
906 1.028 0.001 8.400 0.009 extract_data.py:82(get_ef_values)
13 0.000 0.000 0.004 0.000 fromnumeric.py:1281(ravel)
13 0.000 0.000 0.000 0.000 fromnumeric.py:1452(shape)
4 0.000 0.000 0.000 0.000 fromnumeric.py:1621(sum)
6 0.000 0.000 0.000 0.000 fromnumeric.py:1762(any)
2 0.000 0.000 0.004 0.002 fromnumeric.py:1842(all)
5 0.000 0.000 0.000 0.000 fromnumeric.py:1915(cumsum)
528 0.000 0.000 0.000 0.000 fromnumeric.py:2449(rank)
6 0.000 0.000 0.000 0.000 fromnumeric.py:683(sort)
6 0.000 0.000 0.000 0.000 fromnumeric.py:952(searchsorted)
10 0.000 0.000 0.000 0.000 function_base.py:417(average)
20 0.000 0.000 0.000 0.000 functools.py:17(update_wrapper)
14 0.000 0.000 0.000 0.000 functools.py:39(wraps)
10962 0.104 0.000 0.392 0.000 genericpath.py:26(isfile)
1 0.000 0.000 0.000 0.000 getlimits.py:244(__init__)
1 0.000 0.000 0.000 0.000 getlimits.py:269(max)
1 0.004 0.004 0.048 0.048 icd9_categories.py:40(get_max_diagnosis_info)
4 0.000 0.000 0.000 0.000 icd9_categories.py:42(<lambda>)
2 0.048 0.024 0.092 0.046 icd9_categories.py:5(get_diagnosis_categories)
1 0.000 0.000 0.096 0.096 icd_transformer.py:16(__init__)
1 0.000 0.000 0.000 0.000 icd_transformer.py:20(fit)
2 0.000 0.000 378.508 189.254 icd_transformer.py:23(transform)
783 40.084 0.051 373.528 0.477 icd_transformer.py:27(get_icd9_vector)
317648 27.384 0.000 146.392 0.000 icd_transformer.py:56(get_vector_from_category)
952944 8.460 0.000 78.020 0.000 icd_transformer.py:82(<lambda>)
1 0.000 0.000 0.792 0.792 icd_transformer.py:85(get_feature_names)
3 0.000 0.000 0.004 0.001 icd_transformer.py:96(<lambda>)
9428/4 0.532 0.000 0.788 0.197 icd_transformer.py:98(label_vector)
1 0.000 0.000 0.000 0.000 label.py:115(fit_transform)
6 0.000 0.000 0.000 0.000 label.py:132(transform)
10 0.000 0.000 0.000 0.000 label.py:42(_check_numpy_unicode_bug)
6 0.000 0.000 0.000 0.000 label.py:94(_check_fitted)
3 0.000 0.000 0.000 0.000 label.py:98(fit)
13656152 189.964 0.000 511.696 0.000 language_processing.py:11(parse_m_d_y)
105786 0.420 0.000 2.384 0.000 language_processing.py:30(parse_m_y)
13636991 63.184 0.000 576.468 0.000 language_processing.py:48(parse_date)
10962 0.668 0.000 805.436 0.073 loader.py:12(get_patient_by_EMPI)
906 0.060 0.000 79.368 0.088 loader.py:22(get_data)
820836 5.512 0.000 8.816 0.000 loader.py:29(<lambda>)
2 0.000 0.000 0.000 0.000 logger.py:23(_squeeze_time)
2 0.000 0.000 0.000 0.000 logger.py:39(short_format_time)
1 0.000 0.000 0.000 0.000 logistic.py:978(__init__)
1 0.000 0.000 1.008 1.008 logistic.py:996(fit)
6 0.000 0.000 0.000 0.000 metaestimators.py:30(__get__)
6/1 0.000 0.000 546.448 546.448 metaestimators.py:37(<lambda>)
9 0.000 0.000 0.000 0.000 multiclass.py:108(<genexpr>)
9 0.000 0.000 0.000 0.000 multiclass.py:111(<genexpr>)
14 0.000 0.000 0.000 0.000 multiclass.py:121(is_label_indicator_matrix)
14 0.000 0.000 0.000 0.000 multiclass.py:170(is_sequence_of_sequences)
14 0.000 0.000 0.004 0.000 multiclass.py:233(type_of_target)
6 0.000 0.000 0.000 0.000 multiclass.py:28(_unique_multiclass)
3 0.000 0.000 0.000 0.000 multiclass.py:53(unique_labels)
9 0.000 0.000 0.000 0.000 multiclass.py:88(<genexpr>)
6 0.000 0.000 0.000 0.000 numeric.py:136(ones)
20 0.000 0.000 0.000 0.000 numeric.py:1581(array_str)
5 0.000 0.000 0.000 0.000 numeric.py:1810(isscalar)
6 0.000 0.000 0.000 0.000 numeric.py:2320(seterr)
6 0.000 0.000 0.000 0.000 numeric.py:2416(geterr)
3 0.000 0.000 0.000 0.000 numeric.py:2701(__init__)
3 0.000 0.000 0.000 0.000 numeric.py:2705(__enter__)
3 0.000 0.000 0.000 0.000 numeric.py:2710(__exit__)
286 0.008 0.000 6.184 0.022 numeric.py:392(asarray)
31 0.000 0.000 0.004 0.000 numeric.py:462(asanyarray)
9 0.000 0.000 0.000 0.000 numerictypes.py:667(issubclass_)
9 0.000 0.000 0.000 0.000 numerictypes.py:735(issubdtype)
4 0.000 0.000 0.000 0.000 numerictypes.py:948(_can_coerce_all)
2 0.000 0.000 0.000 0.000 numerictypes.py:963(find_common_type)
14 0.000 0.000 0.000 0.000 parallel.py:108(delayed)
14 0.000 0.000 0.000 0.000 parallel.py:124(delayed_function)
14 0.000 0.000 1735.052 123.932 parallel.py:137(__init__)
14 0.000 0.000 0.000 0.000 parallel.py:142(get)
2 0.000 0.000 0.000 0.000 parallel.py:369(__init__)
14 0.004 0.000 1735.056 123.933 parallel.py:402(dispatch)
2 0.000 0.000 0.000 0.000 parallel.py:450(_print)
2 0.000 0.000 0.000 0.000 parallel.py:503(retrieve)
2 0.000 0.000 1735.056 867.528 parallel.py:554(__call__)
14 0.000 0.000 0.000 0.000 parallel.py:56(_verbosity_filter)
6 0.000 0.000 0.000 0.000 pipeline.py:107(_final_estimator)
6/1 0.000 0.000 1195.444 1195.444 pipeline.py:113(_pre_transform)
18 0.000 0.000 0.000 0.000 pipeline.py:114(<genexpr>)
1 0.000 0.000 1196.452 1196.452 pipeline.py:127(fit)
5 0.000 0.000 834.140 166.828 pipeline.py:144(fit_transform)
1 0.000 0.000 546.448 546.448 pipeline.py:165(predict)
5 0.024 0.005 374.840 74.968 pipeline.py:233(transform)
7 0.000 0.000 544.320 77.760 pipeline.py:349(_transform_one)
7 0.052 0.007 1190.732 170.105 pipeline.py:356(_fit_transform_one)
1 0.000 0.000 0.000 0.000 pipeline.py:395(__init__)
1 0.040 0.040 0.836 0.836 pipeline.py:400(get_feature_names)
1 0.000 0.000 1195.444 1195.444 pipeline.py:431(fit_transform)
8 0.000 0.000 0.000 0.000 pipeline.py:447(<genexpr>)
4 0.000 0.000 0.000 0.000 pipeline.py:453(<genexpr>)
1 0.000 0.000 546.444 546.444 pipeline.py:459(transform)
8 0.000 0.000 0.000 0.000 pipeline.py:474(<genexpr>)
4 0.000 0.000 0.000 0.000 pipeline.py:476(<genexpr>)
1 0.000 0.000 0.000 0.000 pipeline.py:492(_update_transformer_list)
6 0.000 0.000 0.000 0.000 pipeline.py:74(__init__)
2 0.000 0.000 0.000 0.000 posixpath.py:127(dirname)
10 0.000 0.000 0.000 0.000 posixpath.py:139(islink)
2 0.000 0.000 0.000 0.000 posixpath.py:336(normpath)
2 0.000 0.000 0.000 0.000 posixpath.py:365(abspath)
2 0.000 0.000 0.000 0.000 posixpath.py:379(realpath)
2 0.000 0.000 0.000 0.000 posixpath.py:387(_joinrealpath)
4 0.000 0.000 0.000 0.000 posixpath.py:59(isabs)
10 0.000 0.000 0.000 0.000 posixpath.py:68(join)
1 0.000 0.000 1838.408 1838.408 profile:0(main())
0 0.000 0.000 profile:0(profiler)
13761938 96.116 0.000 256.976 0.000 re.py:139(search)
99614 0.684 0.000 2.896 0.000 re.py:169(findall)
99614 0.468 0.000 1.280 0.000 re.py:188(compile)
13961166 81.560 0.000 115.692 0.000 re.py:226(_compile)
4 0.000 0.000 0.000 0.000 shape_base.py:60(atleast_2d)
3921 0.024 0.000 0.036 0.000 six.py:437(iteritems)
5 0.000 0.000 0.000 0.000 sputils.py:110(isscalarlike)
32 0.000 0.000 0.000 0.000 sputils.py:115(isintlike)
49 0.000 0.000 0.000 0.000 sputils.py:131(isshape)
37 0.000 0.000 0.000 0.000 sputils.py:146(issequence)
5 0.000 0.000 0.000 0.000 sputils.py:156(isdense)
10 0.000 0.000 0.000 0.000 sputils.py:171(_unpack_index)
10 0.000 0.000 0.000 0.000 sputils.py:196(_check_boolean)
15 0.000 0.000 0.004 0.000 sputils.py:24(upcast)
1 0.000 0.000 0.000 0.000 sputils.py:63(upcast_char)
68 0.000 0.000 0.004 0.000 sputils.py:80(to_native)
37 0.000 0.000 0.000 0.000 sputils.py:84(getdtype)
20 0.004 0.000 0.008 0.000 sre_compile.py:178(_compile_charset)
20 0.000 0.000 0.004 0.000 sre_compile.py:207(_optimize_charset)
98 0.000 0.000 0.000 0.000 sre_compile.py:24(_identityfunction)
2 0.000 0.000 0.000 0.000 sre_compile.py:258(_mk_bitmap)
40/4 0.000 0.000 0.008 0.002 sre_compile.py:32(_compile)
20 0.000 0.000 0.000 0.000 sre_compile.py:354(_simple)
4 0.000 0.000 0.004 0.001 sre_compile.py:359(_compile_info)
8 0.000 0.000 0.000 0.000 sre_compile.py:472(isstring)
4 0.000 0.000 0.012 0.003 sre_compile.py:478(_code)
4 0.000 0.000 0.020 0.005 sre_compile.py:493(compile)
88 0.000 0.000 0.000 0.000 sre_parse.py:126(__len__)
174 0.000 0.000 0.000 0.000 sre_parse.py:130(__getitem__)
20 0.000 0.000 0.000 0.000 sre_parse.py:134(__setitem__)
61 0.000 0.000 0.000 0.000 sre_parse.py:138(append)
60/24 0.004 0.000 0.004 0.000 sre_parse.py:140(getwidth)
4 0.000 0.000 0.000 0.000 sre_parse.py:178(__init__)
245 0.004 0.000 0.004 0.000 sre_parse.py:182(__next)
166 0.000 0.000 0.004 0.000 sre_parse.py:195(match)
189 0.000 0.000 0.000 0.000 sre_parse.py:201(get)
12 0.000 0.000 0.000 0.000 sre_parse.py:205(tell)
2 0.000 0.000 0.000 0.000 sre_parse.py:257(_escape)
16/4 0.004 0.000 0.008 0.002 sre_parse.py:301(_parse_sub)
18/6 0.000 0.000 0.008 0.001 sre_parse.py:379(_parse)
4 0.000 0.000 0.000 0.000 sre_parse.py:67(__init__)
4 0.000 0.000 0.008 0.002 sre_parse.py:675(parse)
12 0.000 0.000 0.000 0.000 sre_parse.py:72(opengroup)
12 0.000 0.000 0.000 0.000 sre_parse.py:83(closegroup)
40 0.000 0.000 0.000 0.000 sre_parse.py:90(__init__)
10972 0.024 0.000 0.024 0.000 stat.py:24(S_IFMT)
10962 0.052 0.000 0.076 0.000 stat.py:49(S_ISREG)
10 0.000 0.000 0.000 0.000 stat.py:55(S_ISLNK)
783 4.124 0.005 82.564 0.105 structured_data_extractor.py:105(get_encounters)
217350 0.368 0.000 0.368 0.000 structured_data_extractor.py:118(<lambda>)
3915 56.340 0.014 855.680 0.219 structured_data_extractor.py:121(get_labs_before_date)
783 4.604 0.006 91.520 0.117 structured_data_extractor.py:26(get_diagnoses)
2 0.000 0.000 0.000 0.000 text.py:1192(__init__)
2 0.000 0.000 0.000 0.000 text.py:638(__init__)
2 0.000 0.000 0.000 0.000 text.py:951(__init__)
15 0.000 0.000 0.000 0.000 validation.py:105(_num_samples)
2 0.000 0.000 0.000 0.000 validation.py:126(_shape_repr)
6 0.000 0.000 0.000 0.000 validation.py:153(<genexpr>)
6 0.000 0.000 0.000 0.000 validation.py:160(check_consistent_length)
1 0.000 0.000 0.000 0.000 validation.py:177(indexable)
2 0.000 0.000 0.000 0.000 validation.py:203(_ensure_sparse_format)
2 0.000 0.000 0.004 0.002 validation.py:268(check_array)
1 0.000 0.000 0.004 0.004 validation.py:371(check_X_y)
3 0.000 0.000 0.000 0.000 validation.py:43(_assert_all_finite)
13 0.000 0.000 0.004 0.000 validation.py:459(column_or_1d)
2 0.000 0.000 0.000 0.000 validation.py:503(check_random_state)
