Diff of
/stats/function_runtimes.txt
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| a | b/stats/function_runtimes.txt | ||
|---|---|---|---|
| 1 | ncalls tottime percall cumtime percall filename:lineno(function) |
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| 2 | 18 0.000 0.000 0.000 0.000 :0(__subclasses__) |
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| 3 | 102362 0.140 0.000 0.140 0.000 :0(abs) |
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| 4 | 14 0.000 0.000 0.000 0.000 :0(acquire) |
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| 5 | 38 0.000 0.000 0.000 0.000 :0(add) |
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| 6 | 2 0.000 0.000 0.000 0.000 :0(all) |
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| 7 | 2 0.000 0.000 0.000 0.000 :0(allocate_lock) |
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| 8 | 9 0.000 0.000 0.000 0.000 :0(any) |
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| 9 | 4108327 9.644 0.000 9.644 0.000 :0(append) |
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| 10 | 5 0.000 0.000 0.000 0.000 :0(arange) |
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| 11 | 2 0.000 0.000 0.000 0.000 :0(argsort) |
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| 12 | 2036 13.908 0.007 13.908 0.007 :0(array) |
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| 13 | 11 0.000 0.000 0.000 0.000 :0(astype) |
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| 14 | 9 0.000 0.000 0.000 0.000 :0(bincount) |
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| 15 | 22 0.000 0.000 0.000 0.000 :0(can_cast) |
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| 16 | 1 0.000 0.000 0.000 0.000 :0(ceil) |
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| 17 | 4 0.000 0.000 0.000 0.000 :0(compile) |
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| 18 | 953000 35.340 0.000 35.340 0.000 :0(concatenate) |
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| 19 | 2 0.000 0.000 0.000 0.000 :0(coo_tocsr) |
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| 20 | 26 0.000 0.000 0.000 0.000 :0(copy) |
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| 21 | 6 0.000 0.000 0.000 0.000 :0(copyto) |
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| 22 | 5 0.000 0.000 0.000 0.000 :0(csc_tocsr) |
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| 23 | 12 0.000 0.000 0.000 0.000 :0(csr_has_sorted_indices) |
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| 24 | 5 0.000 0.000 0.000 0.000 :0(csr_matmat_pass1) |
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| 25 | 5 0.000 0.000 0.000 0.000 :0(csr_matmat_pass2) |
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| 26 | 1 0.000 0.000 0.000 0.000 :0(csr_matvec) |
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| 27 | 10 0.008 0.001 0.008 0.001 :0(csr_sort_indices) |
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| 28 | 2 0.000 0.000 0.000 0.000 :0(csr_sum_duplicates) |
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| 29 | 5 0.000 0.000 0.000 0.000 :0(cumsum) |
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| 30 | 14 0.000 0.000 0.000 0.000 :0(dumps) |
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| 31 | 67 0.000 0.000 0.000 0.000 :0(empty) |
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| 32 | 23736 0.056 0.000 0.056 0.000 :0(end) |
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| 33 | 10 0.000 0.000 0.000 0.000 :0(endswith) |
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| 34 | 10 0.000 0.000 0.000 0.000 :0(expandptr) |
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| 35 | 13 0.004 0.000 0.004 0.000 :0(extend) |
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| 36 | 99614 0.908 0.000 0.908 0.000 :0(findall) |
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| 37 | 1905937 34.224 0.000 34.224 0.000 :0(flatten) |
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| 38 | 4 0.000 0.000 0.000 0.000 :0(from_iterable) |
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| 39 | 20 0.000 0.000 0.000 0.000 :0(frombuffer) |
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| 40 | 13961192 33.944 0.000 33.944 0.000 :0(get) |
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| 41 | 5 0.000 0.000 0.000 0.000 :0(get_csr_submatrix) |
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| 42 | 4092 0.004 0.000 0.004 0.000 :0(getattr) |
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| 43 | 12 0.000 0.000 0.000 0.000 :0(geterrobj) |
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| 44 | 13548688 32.348 0.000 32.348 0.000 :0(groups) |
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| 45 | 232 0.000 0.000 0.000 0.000 :0(hasattr) |
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| 46 | 17 0.000 0.000 0.000 0.000 :0(hash) |
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| 47 | 415315 0.988 0.000 0.988 0.000 :0(isinstance) |
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| 48 | 2 0.000 0.000 0.000 0.000 :0(islower) |
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| 49 | 72/48 0.000 0.000 0.000 0.000 :0(issubclass) |
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| 50 | 20 0.000 0.000 0.000 0.000 :0(item) |
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| 51 | 4 0.000 0.000 0.000 0.000 :0(items) |
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| 52 | 3922 0.000 0.000 0.000 0.000 :0(iter) |
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| 53 | 3921 0.008 0.000 0.008 0.000 :0(iteritems) |
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| 54 | 1448 0.008 0.000 0.008 0.000 :0(join) |
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| 55 | 5482 0.012 0.000 0.012 0.000 :0(keys) |
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| 56 | 1745430/1745408 4.720 0.000 4.720 0.000 :0(len) |
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| 57 | 906 2.420 0.003 2.420 0.003 :0(listdir) |
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| 58 | 49811 0.744 0.000 0.744 0.000 :0(lower) |
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| 59 | 10 0.000 0.000 0.000 0.000 :0(lstat) |
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| 60 | 318446/15 60.324 0.000 1730.964 115.398 :0(map) |
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| 61 | 23736 0.140 0.000 0.140 0.000 :0(match) |
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| 62 | 4812 0.016 0.000 0.024 0.000 :0(max) |
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| 63 | 10 0.000 0.000 0.000 0.000 :0(mean) |
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| 64 | 5678 0.016 0.000 0.016 0.000 :0(min) |
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| 65 | 9 0.000 0.000 0.000 0.000 :0(mro) |
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| 66 | 68 0.000 0.000 0.000 0.000 :0(newbyteorder) |
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| 67 | 1 0.000 0.000 0.000 0.000 :0(next) |
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| 68 | 4 0.628 0.157 0.628 0.157 :0(nonzero) |
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| 69 | 11870 0.352 0.000 0.352 0.000 :0(open) |
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| 70 | 89 0.000 0.000 0.000 0.000 :0(ord) |
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| 71 | 10 0.000 0.000 0.000 0.000 :0(partition) |
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| 72 | 1 0.000 0.000 0.000 0.000 :0(permutation) |
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| 73 | 30 0.000 0.000 0.000 0.000 :0(pop) |
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| 74 | 1 0.000 0.000 0.000 0.000 :0(randint) |
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| 75 | 2134035 5.168 0.000 5.168 0.000 :0(range) |
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| 76 | 16 0.000 0.000 0.000 0.000 :0(ravel) |
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| 77 | 11868 53.852 0.005 53.852 0.005 :0(read) |
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| 78 | 317791 3.552 0.000 81.576 0.000 :0(reduce) |
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| 79 | 14 0.000 0.000 0.000 0.000 :0(release) |
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| 80 | 31 0.000 0.000 0.000 0.000 :0(remove) |
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| 81 | 13974253 35.392 0.000 35.392 0.000 :0(replace) |
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| 82 | 1 0.000 0.000 0.000 0.000 :0(reshape) |
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| 83 | 2 0.000 0.000 0.000 0.000 :0(rfind) |
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| 84 | 2 0.000 0.000 0.000 0.000 :0(rstrip) |
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| 85 | 13761938 47.284 0.000 47.284 0.000 :0(search) |
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| 86 | 6 0.000 0.000 0.000 0.000 :0(searchsorted) |
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| 87 | 4 0.000 0.000 0.000 0.000 :0(set_verbosity_wrap) |
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| 88 | 60 0.000 0.000 0.000 0.000 :0(setattr) |
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| 89 | 6 0.000 0.000 0.000 0.000 :0(seterrobj) |
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| 90 | 1 0.004 0.004 0.004 0.004 :0(setprofile) |
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| 91 | 1626 1.304 0.001 2.096 0.001 :0(sort) |
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| 92 | 1815 1.996 0.001 10.812 0.006 :0(sorted) |
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| 93 | 1969478 4.440 0.000 4.440 0.000 :0(split) |
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| 94 | 28 0.000 0.000 0.000 0.000 :0(startswith) |
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| 95 | 10962 0.212 0.000 0.212 0.000 :0(stat) |
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| 96 | 4 0.000 0.000 0.000 0.000 :0(sum) |
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| 97 | 4 0.000 0.000 0.000 0.000 :0(time) |
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| 98 | 1 1.004 1.004 1.004 1.004 :0(train_wrap) |
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| 99 | 20 0.000 0.000 0.000 0.000 :0(update) |
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| 100 | 24724 0.052 0.000 0.052 0.000 :0(upper) |
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| 101 | 1270599 18.528 0.000 18.528 0.000 :0(zeros) |
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| 102 | 15 0.016 0.001 0.016 0.001 :0(zip) |
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| 103 | 1 0.012 0.012 1838.404 1838.404 <string>:1(<module>) |
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| 104 | 4 0.000 0.000 0.000 0.000 __init__.py:137(safe_indexing) |
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| 105 | 11868 0.200 0.000 870.100 0.073 __init__.py:257(load) |
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| 106 | 11868 0.096 0.000 816.048 0.069 __init__.py:293(loads) |
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| 107 | 6 0.000 0.000 0.000 0.000 __init__.py:457(tosequence) |
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| 108 | 1 0.000 0.000 0.000 0.000 _abcoll.py:24(_hasattr) |
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| 109 | 3 0.000 0.000 0.000 0.000 _abcoll.py:26(<genexpr>) |
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| 110 | 19 0.000 0.000 0.000 0.000 _abcoll.py:98(__subclasshook__) |
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| 111 | 57 0.000 0.000 0.008 0.000 _methods.py:15(_amax) |
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| 112 | 61 0.000 0.000 0.000 0.000 _methods.py:19(_amin) |
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| 113 | 6 0.000 0.000 0.000 0.000 _methods.py:23(_sum) |
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| 114 | 6 0.000 0.000 0.000 0.000 _methods.py:31(_any) |
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| 115 | 2 0.000 0.000 0.000 0.000 _methods.py:35(_all) |
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| 116 | 10 0.000 0.000 0.000 0.000 _methods.py:39(_count_reduce_items) |
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| 117 | 10 0.000 0.000 0.000 0.000 _methods.py:49(_mean) |
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| 118 | 19 0.000 0.000 0.000 0.000 _weakrefset.py:16(__init__) |
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| 119 | 19 0.000 0.000 0.000 0.000 _weakrefset.py:20(__enter__) |
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| 120 | 19 0.000 0.000 0.000 0.000 _weakrefset.py:26(__exit__) |
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| 121 | 11 0.000 0.000 0.000 0.000 _weakrefset.py:36(__init__) |
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| 122 | 19 0.000 0.000 0.000 0.000 _weakrefset.py:52(_commit_removals) |
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| 123 | 47 0.000 0.000 0.000 0.000 _weakrefset.py:58(__iter__) |
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| 124 | 92 0.000 0.000 0.000 0.000 _weakrefset.py:70(__contains__) |
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| 125 | 19 0.000 0.000 0.000 0.000 _weakrefset.py:83(add) |
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| 126 | 36 0.000 0.000 0.000 0.000 abc.py:128(__instancecheck__) |
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| 127 | 21/5 0.000 0.000 0.000 0.000 abc.py:148(__subclasscheck__) |
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| 128 | 20 0.000 0.000 0.000 0.000 arrayprint.py:343(array2string) |
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| 129 | 6 0.000 0.000 0.000 0.000 arraysetops.py:201(intersect1d) |
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| 130 | 49 0.000 0.000 0.000 0.000 arraysetops.py:93(unique) |
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| 131 | 1 0.000 0.000 0.000 0.000 base.py:177(decision_function) |
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| 132 | 2 0.000 0.000 0.000 0.000 base.py:190(__len__) |
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| 133 | 7 0.000 0.000 0.000 0.000 base.py:195(asformat) |
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| 134 | 1 0.004 0.004 0.004 0.004 base.py:210(predict) |
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| 135 | 6 0.000 0.000 0.004 0.001 base.py:276(__mul__) |
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| 136 | 7 0.000 0.000 1187.948 169.707 base.py:409(fit_transform) |
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| 137 | 20 0.000 0.000 0.000 0.000 base.py:426(__getattr__) |
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| 138 | 68 0.000 0.000 0.000 0.000 base.py:63(__init__) |
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| 139 | 1 0.000 0.000 0.000 0.000 base.py:639(_get_liblinear_solver_type) |
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| 140 | 1 0.000 0.000 1.004 1.004 base.py:701(_fit_liblinear) |
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| 141 | 93 0.004 0.000 0.004 0.000 base.py:702(isspmatrix) |
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| 142 | 68 0.000 0.000 0.000 0.000 base.py:71(set_shape) |
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| 143 | 279 0.000 0.000 0.000 0.000 base.py:93(get_shape) |
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| 144 | 98332 0.296 0.000 0.424 0.000 baseline_model.py:174(<lambda>) |
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| 145 | 1 5.340 5.340 93.164 93.164 baseline_model.py:21(get_preprocessed_patients) |
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| 146 | 1 0.000 0.000 0.000 0.000 baseline_model.py:39(change_ef_values_to_categories) |
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| 147 | 906 0.028 0.000 8.452 0.009 baseline_model.py:59(get_ef_delta) |
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| 148 | 5 0.000 0.000 0.000 0.000 baseline_model.py:91(get_feature_names) |
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| 149 | 1 0.704 0.704 1838.392 1838.392 baseline_model.py:94(main) |
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| 150 | 783 4.724 0.006 142.840 0.182 baseline_transformer.py:110(get_encounters_features) |
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| 151 | 1 0.000 0.000 0.000 0.000 baseline_transformer.py:174(fit) |
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| 152 | 2 0.000 0.000 240.212 120.106 baseline_transformer.py:177(transform) |
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| 153 | 783 4.716 0.006 235.360 0.301 baseline_transformer.py:181(get_labs_counts) |
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| 154 | 1 0.000 0.000 0.000 0.000 baseline_transformer.py:190(fit) |
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| 155 | 2 0.000 0.000 241.592 120.796 baseline_transformer.py:193(transform) |
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| 156 | 783 4.664 0.006 236.892 0.303 baseline_transformer.py:197(get_low_counts) |
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| 157 | 1 0.000 0.000 0.000 0.000 baseline_transformer.py:206(fit) |
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| 158 | 2 0.000 0.000 241.736 120.868 baseline_transformer.py:209(transform) |
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| 159 | 783 4.552 0.006 237.008 0.303 baseline_transformer.py:213(get_high_counts) |
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| 160 | 1 0.000 0.000 0.000 0.000 baseline_transformer.py:222(fit) |
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| 161 | 2 0.000 0.000 236.404 118.202 baseline_transformer.py:225(transform) |
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| 162 | 783 4.636 0.006 231.560 0.296 baseline_transformer.py:229(get_labs_latest_high) |
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| 163 | 1 0.000 0.000 0.000 0.000 baseline_transformer.py:245(fit) |
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| 164 | 2 0.000 0.000 245.000 122.500 baseline_transformer.py:248(transform) |
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| 165 | 783 4.776 0.006 240.124 0.307 baseline_transformer.py:252(get_labs_latest_low) |
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| 166 | 1 0.000 0.000 0.000 0.000 baseline_transformer.py:89(__init__) |
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| 167 | 1 0.000 0.000 0.000 0.000 baseline_transformer.py:92(fit) |
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| 168 | 2 0.000 0.000 147.512 73.756 baseline_transformer.py:95(transform) |
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| 169 | 1 0.000 0.000 0.000 0.000 baseline_transformer.py:99(get_feature_names) |
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| 170 | 1 0.000 0.000 0.000 0.000 class_weight.py:12(compute_class_weight) |
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| 171 | 1 0.000 0.000 0.000 0.000 classification.py:1086(recall_score) |
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| 172 | 1 0.000 0.000 0.000 0.000 classification.py:112(_weighted_sum) |
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| 173 | 1 0.000 0.000 0.004 0.004 classification.py:121(accuracy_score) |
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| 174 | 4 0.000 0.000 0.008 0.002 classification.py:46(_check_targets) |
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| 175 | 1 0.000 0.000 0.004 0.004 classification.py:479(f1_score) |
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| 176 | 1 0.000 0.000 0.004 0.004 classification.py:573(fbeta_score) |
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| 177 | 6 0.000 0.000 0.000 0.000 classification.py:680(_prf_divide) |
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| 178 | 3 0.000 0.000 0.004 0.001 classification.py:724(precision_recall_fscore_support) |
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| 179 | 1 0.000 0.000 0.000 0.000 classification.py:994(precision_score) |
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| 180 | 42 0.000 0.000 0.004 0.000 compressed.py:101(check_format) |
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| 181 | 42/37 0.008 0.000 0.044 0.001 compressed.py:22(__init__) |
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| 182 | 1 0.000 0.000 0.000 0.000 compressed.py:480(_mul_vector) |
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| 183 | 5 0.000 0.000 0.004 0.001 compressed.py:506(_mul_sparse_matrix) |
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| 184 | 10 0.000 0.000 0.000 0.000 compressed.py:765(tocoo) |
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| 185 | 2 0.000 0.000 0.000 0.000 compressed.py:807(sum_duplicates) |
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| 186 | 12 0.000 0.000 0.000 0.000 compressed.py:820(__get_sorted) |
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| 187 | 15 0.000 0.000 0.000 0.000 compressed.py:836(__set_sorted) |
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| 188 | 12 0.000 0.000 0.008 0.001 compressed.py:852(sort_indices) |
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| 189 | 186 0.000 0.000 0.000 0.000 compressed.py:86(getnnz) |
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| 190 | 44 0.000 0.000 0.000 0.000 compressed.py:861(prune) |
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| 191 | 5 0.000 0.000 0.000 0.000 compressed.py:90(_set_self) |
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| 192 | 2 0.000 0.000 6.832 3.416 construct.py:396(hstack) |
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| 193 | 2 0.012 0.006 6.832 3.416 construct.py:457(bmat) |
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| 194 | 26/16 0.008 0.000 6.816 0.426 coo.py:115(__init__) |
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| 195 | 132 0.004 0.000 0.004 0.000 coo.py:195(getnnz) |
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| 196 | 26 0.000 0.000 0.008 0.000 coo.py:206(_check) |
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| 197 | 2 0.000 0.000 0.000 0.000 coo.py:286(tocsr) |
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| 198 | 10 0.000 0.000 0.000 0.000 coo.py:387(isspmatrix_coo) |
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| 199 | 2 0.000 0.000 0.000 0.000 coo.py:73(coo_tocsr) |
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| 200 | 1 0.000 0.000 0.000 0.000 cross_validation.py:1711(train_test_split) |
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| 201 | 3 0.000 0.000 0.000 0.000 cross_validation.py:1815(<genexpr>) |
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| 202 | 1 0.000 0.000 0.000 0.000 cross_validation.py:752(__init__) |
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| 203 | 2 0.000 0.000 0.000 0.000 cross_validation.py:780(__iter__) |
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| 204 | 2 0.000 0.000 0.000 0.000 cross_validation.py:860(_iter_indices) |
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| 205 | 1 0.000 0.000 0.000 0.000 cross_validation.py:883(_validate_shuffle_split) |
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| 206 | 5 0.000 0.000 0.000 0.000 csc.py:115(csc_tocsr) |
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| 207 | 5 0.000 0.000 0.000 0.000 csc.py:128(tocsr) |
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| 208 | 15 0.000 0.000 0.000 0.000 csc.py:193(_swap) |
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| 209 | 5 0.000 0.000 0.000 0.000 csr.py:110(transpose) |
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| 210 | 140 0.000 0.000 0.000 0.000 csr.py:183(_swap) |
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| 211 | 10/5 0.000 0.000 0.008 0.002 csr.py:188(__getitem__) |
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| 212 | 5 0.000 0.000 0.000 0.000 csr.py:189(asindices) |
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| 213 | 5 0.000 0.000 0.000 0.000 csr.py:197(check_bounds) |
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| 214 | 5 0.000 0.000 0.000 0.000 csr.py:208(extractor) |
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| 215 | 5 0.000 0.000 0.000 0.000 csr.py:265(csr_matmat_pass2) |
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| 216 | 1 0.000 0.000 0.000 0.000 csr.py:315(csr_matvec) |
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| 217 | 5 0.000 0.000 0.004 0.001 csr.py:363(_get_submatrix) |
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| 218 | 10 0.000 0.000 0.000 0.000 csr.py:368(process_slice) |
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| 219 | 10 0.000 0.000 0.000 0.000 csr.py:391(check_bounds) |
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| 220 | 10 0.000 0.000 0.008 0.001 csr.py:586(csr_sort_indices) |
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| 221 | 2 0.000 0.000 0.000 0.000 csr.py:626(csr_sum_duplicates) |
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| 222 | 5 0.000 0.000 0.000 0.000 csr.py:646(get_csr_submatrix) |
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| 223 | 10 0.000 0.000 0.000 0.000 csr.py:73(expandptr) |
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| 224 | 5 0.000 0.000 0.000 0.000 csr.py:77(csr_matmat_pass1) |
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| 225 | 12 0.000 0.000 0.000 0.000 csr.py:88(csr_has_sorted_indices) |
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| 226 | 68 0.000 0.000 0.000 0.000 data.py:22(__init__) |
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| 227 | 40 0.000 0.000 0.000 0.000 data.py:25(_get_dtype) |
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| 228 | 11868 0.248 0.000 815.952 0.069 decoder.py:361(decode) |
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| 229 | 11868 815.484 0.069 815.484 0.069 decoder.py:372(raw_decode) |
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| 230 | 10 1.992 0.199 4.012 0.401 dict_vectorizer.py:130(_transform) |
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| 231 | 5 0.000 0.000 2.732 0.546 dict_vectorizer.py:206(fit_transform) |
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| 232 | 5 0.000 0.000 1.280 0.256 dict_vectorizer.py:267(transform) |
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| 233 | 5 0.000 0.000 0.000 0.000 dict_vectorizer.py:306(get_feature_names) |
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| 234 | 5 0.000 0.000 0.000 0.000 dict_vectorizer.py:89(__init__) |
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| 235 | 1 0.000 0.000 0.000 0.000 extmath.py:171(safe_sparse_dot) |
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| 236 | 24724 0.084 0.000 0.136 0.000 extract_data.py:162(is_note_doc) |
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| 237 | 883 0.000 0.000 0.000 0.000 extract_data.py:165(get_date_key) |
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| 238 | 6387 0.148 0.000 0.976 0.000 extract_data.py:6(get_operation_date) |
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| 239 | 906 1.028 0.001 8.400 0.009 extract_data.py:82(get_ef_values) |
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| 240 | 13 0.000 0.000 0.004 0.000 fromnumeric.py:1281(ravel) |
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| 241 | 13 0.000 0.000 0.000 0.000 fromnumeric.py:1452(shape) |
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| 242 | 4 0.000 0.000 0.000 0.000 fromnumeric.py:1621(sum) |
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| 243 | 6 0.000 0.000 0.000 0.000 fromnumeric.py:1762(any) |
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| 244 | 2 0.000 0.000 0.004 0.002 fromnumeric.py:1842(all) |
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| 245 | 5 0.000 0.000 0.000 0.000 fromnumeric.py:1915(cumsum) |
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| 246 | 528 0.000 0.000 0.000 0.000 fromnumeric.py:2449(rank) |
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| 247 | 6 0.000 0.000 0.000 0.000 fromnumeric.py:683(sort) |
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| 248 | 6 0.000 0.000 0.000 0.000 fromnumeric.py:952(searchsorted) |
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| 249 | 10 0.000 0.000 0.000 0.000 function_base.py:417(average) |
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| 250 | 20 0.000 0.000 0.000 0.000 functools.py:17(update_wrapper) |
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| 251 | 14 0.000 0.000 0.000 0.000 functools.py:39(wraps) |
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| 252 | 10962 0.104 0.000 0.392 0.000 genericpath.py:26(isfile) |
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| 253 | 1 0.000 0.000 0.000 0.000 getlimits.py:244(__init__) |
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| 254 | 1 0.000 0.000 0.000 0.000 getlimits.py:269(max) |
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| 255 | 1 0.004 0.004 0.048 0.048 icd9_categories.py:40(get_max_diagnosis_info) |
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| 256 | 4 0.000 0.000 0.000 0.000 icd9_categories.py:42(<lambda>) |
||
| 257 | 2 0.048 0.024 0.092 0.046 icd9_categories.py:5(get_diagnosis_categories) |
||
| 258 | 1 0.000 0.000 0.096 0.096 icd_transformer.py:16(__init__) |
||
| 259 | 1 0.000 0.000 0.000 0.000 icd_transformer.py:20(fit) |
||
| 260 | 2 0.000 0.000 378.508 189.254 icd_transformer.py:23(transform) |
||
| 261 | 783 40.084 0.051 373.528 0.477 icd_transformer.py:27(get_icd9_vector) |
||
| 262 | 317648 27.384 0.000 146.392 0.000 icd_transformer.py:56(get_vector_from_category) |
||
| 263 | 952944 8.460 0.000 78.020 0.000 icd_transformer.py:82(<lambda>) |
||
| 264 | 1 0.000 0.000 0.792 0.792 icd_transformer.py:85(get_feature_names) |
||
| 265 | 3 0.000 0.000 0.004 0.001 icd_transformer.py:96(<lambda>) |
||
| 266 | 9428/4 0.532 0.000 0.788 0.197 icd_transformer.py:98(label_vector) |
||
| 267 | 1 0.000 0.000 0.000 0.000 label.py:115(fit_transform) |
||
| 268 | 6 0.000 0.000 0.000 0.000 label.py:132(transform) |
||
| 269 | 10 0.000 0.000 0.000 0.000 label.py:42(_check_numpy_unicode_bug) |
||
| 270 | 6 0.000 0.000 0.000 0.000 label.py:94(_check_fitted) |
||
| 271 | 3 0.000 0.000 0.000 0.000 label.py:98(fit) |
||
| 272 | 13656152 189.964 0.000 511.696 0.000 language_processing.py:11(parse_m_d_y) |
||
| 273 | 105786 0.420 0.000 2.384 0.000 language_processing.py:30(parse_m_y) |
||
| 274 | 13636991 63.184 0.000 576.468 0.000 language_processing.py:48(parse_date) |
||
| 275 | 10962 0.668 0.000 805.436 0.073 loader.py:12(get_patient_by_EMPI) |
||
| 276 | 906 0.060 0.000 79.368 0.088 loader.py:22(get_data) |
||
| 277 | 820836 5.512 0.000 8.816 0.000 loader.py:29(<lambda>) |
||
| 278 | 2 0.000 0.000 0.000 0.000 logger.py:23(_squeeze_time) |
||
| 279 | 2 0.000 0.000 0.000 0.000 logger.py:39(short_format_time) |
||
| 280 | 1 0.000 0.000 0.000 0.000 logistic.py:978(__init__) |
||
| 281 | 1 0.000 0.000 1.008 1.008 logistic.py:996(fit) |
||
| 282 | 6 0.000 0.000 0.000 0.000 metaestimators.py:30(__get__) |
||
| 283 | 6/1 0.000 0.000 546.448 546.448 metaestimators.py:37(<lambda>) |
||
| 284 | 9 0.000 0.000 0.000 0.000 multiclass.py:108(<genexpr>) |
||
| 285 | 9 0.000 0.000 0.000 0.000 multiclass.py:111(<genexpr>) |
||
| 286 | 14 0.000 0.000 0.000 0.000 multiclass.py:121(is_label_indicator_matrix) |
||
| 287 | 14 0.000 0.000 0.000 0.000 multiclass.py:170(is_sequence_of_sequences) |
||
| 288 | 14 0.000 0.000 0.004 0.000 multiclass.py:233(type_of_target) |
||
| 289 | 6 0.000 0.000 0.000 0.000 multiclass.py:28(_unique_multiclass) |
||
| 290 | 3 0.000 0.000 0.000 0.000 multiclass.py:53(unique_labels) |
||
| 291 | 9 0.000 0.000 0.000 0.000 multiclass.py:88(<genexpr>) |
||
| 292 | 6 0.000 0.000 0.000 0.000 numeric.py:136(ones) |
||
| 293 | 20 0.000 0.000 0.000 0.000 numeric.py:1581(array_str) |
||
| 294 | 5 0.000 0.000 0.000 0.000 numeric.py:1810(isscalar) |
||
| 295 | 6 0.000 0.000 0.000 0.000 numeric.py:2320(seterr) |
||
| 296 | 6 0.000 0.000 0.000 0.000 numeric.py:2416(geterr) |
||
| 297 | 3 0.000 0.000 0.000 0.000 numeric.py:2701(__init__) |
||
| 298 | 3 0.000 0.000 0.000 0.000 numeric.py:2705(__enter__) |
||
| 299 | 3 0.000 0.000 0.000 0.000 numeric.py:2710(__exit__) |
||
| 300 | 286 0.008 0.000 6.184 0.022 numeric.py:392(asarray) |
||
| 301 | 31 0.000 0.000 0.004 0.000 numeric.py:462(asanyarray) |
||
| 302 | 9 0.000 0.000 0.000 0.000 numerictypes.py:667(issubclass_) |
||
| 303 | 9 0.000 0.000 0.000 0.000 numerictypes.py:735(issubdtype) |
||
| 304 | 4 0.000 0.000 0.000 0.000 numerictypes.py:948(_can_coerce_all) |
||
| 305 | 2 0.000 0.000 0.000 0.000 numerictypes.py:963(find_common_type) |
||
| 306 | 14 0.000 0.000 0.000 0.000 parallel.py:108(delayed) |
||
| 307 | 14 0.000 0.000 0.000 0.000 parallel.py:124(delayed_function) |
||
| 308 | 14 0.000 0.000 1735.052 123.932 parallel.py:137(__init__) |
||
| 309 | 14 0.000 0.000 0.000 0.000 parallel.py:142(get) |
||
| 310 | 2 0.000 0.000 0.000 0.000 parallel.py:369(__init__) |
||
| 311 | 14 0.004 0.000 1735.056 123.933 parallel.py:402(dispatch) |
||
| 312 | 2 0.000 0.000 0.000 0.000 parallel.py:450(_print) |
||
| 313 | 2 0.000 0.000 0.000 0.000 parallel.py:503(retrieve) |
||
| 314 | 2 0.000 0.000 1735.056 867.528 parallel.py:554(__call__) |
||
| 315 | 14 0.000 0.000 0.000 0.000 parallel.py:56(_verbosity_filter) |
||
| 316 | 6 0.000 0.000 0.000 0.000 pipeline.py:107(_final_estimator) |
||
| 317 | 6/1 0.000 0.000 1195.444 1195.444 pipeline.py:113(_pre_transform) |
||
| 318 | 18 0.000 0.000 0.000 0.000 pipeline.py:114(<genexpr>) |
||
| 319 | 1 0.000 0.000 1196.452 1196.452 pipeline.py:127(fit) |
||
| 320 | 5 0.000 0.000 834.140 166.828 pipeline.py:144(fit_transform) |
||
| 321 | 1 0.000 0.000 546.448 546.448 pipeline.py:165(predict) |
||
| 322 | 5 0.024 0.005 374.840 74.968 pipeline.py:233(transform) |
||
| 323 | 7 0.000 0.000 544.320 77.760 pipeline.py:349(_transform_one) |
||
| 324 | 7 0.052 0.007 1190.732 170.105 pipeline.py:356(_fit_transform_one) |
||
| 325 | 1 0.000 0.000 0.000 0.000 pipeline.py:395(__init__) |
||
| 326 | 1 0.040 0.040 0.836 0.836 pipeline.py:400(get_feature_names) |
||
| 327 | 1 0.000 0.000 1195.444 1195.444 pipeline.py:431(fit_transform) |
||
| 328 | 8 0.000 0.000 0.000 0.000 pipeline.py:447(<genexpr>) |
||
| 329 | 4 0.000 0.000 0.000 0.000 pipeline.py:453(<genexpr>) |
||
| 330 | 1 0.000 0.000 546.444 546.444 pipeline.py:459(transform) |
||
| 331 | 8 0.000 0.000 0.000 0.000 pipeline.py:474(<genexpr>) |
||
| 332 | 4 0.000 0.000 0.000 0.000 pipeline.py:476(<genexpr>) |
||
| 333 | 1 0.000 0.000 0.000 0.000 pipeline.py:492(_update_transformer_list) |
||
| 334 | 6 0.000 0.000 0.000 0.000 pipeline.py:74(__init__) |
||
| 335 | 2 0.000 0.000 0.000 0.000 posixpath.py:127(dirname) |
||
| 336 | 10 0.000 0.000 0.000 0.000 posixpath.py:139(islink) |
||
| 337 | 2 0.000 0.000 0.000 0.000 posixpath.py:336(normpath) |
||
| 338 | 2 0.000 0.000 0.000 0.000 posixpath.py:365(abspath) |
||
| 339 | 2 0.000 0.000 0.000 0.000 posixpath.py:379(realpath) |
||
| 340 | 2 0.000 0.000 0.000 0.000 posixpath.py:387(_joinrealpath) |
||
| 341 | 4 0.000 0.000 0.000 0.000 posixpath.py:59(isabs) |
||
| 342 | 10 0.000 0.000 0.000 0.000 posixpath.py:68(join) |
||
| 343 | 1 0.000 0.000 1838.408 1838.408 profile:0(main()) |
||
| 344 | 0 0.000 0.000 profile:0(profiler) |
||
| 345 | 13761938 96.116 0.000 256.976 0.000 re.py:139(search) |
||
| 346 | 99614 0.684 0.000 2.896 0.000 re.py:169(findall) |
||
| 347 | 99614 0.468 0.000 1.280 0.000 re.py:188(compile) |
||
| 348 | 13961166 81.560 0.000 115.692 0.000 re.py:226(_compile) |
||
| 349 | 4 0.000 0.000 0.000 0.000 shape_base.py:60(atleast_2d) |
||
| 350 | 3921 0.024 0.000 0.036 0.000 six.py:437(iteritems) |
||
| 351 | 5 0.000 0.000 0.000 0.000 sputils.py:110(isscalarlike) |
||
| 352 | 32 0.000 0.000 0.000 0.000 sputils.py:115(isintlike) |
||
| 353 | 49 0.000 0.000 0.000 0.000 sputils.py:131(isshape) |
||
| 354 | 37 0.000 0.000 0.000 0.000 sputils.py:146(issequence) |
||
| 355 | 5 0.000 0.000 0.000 0.000 sputils.py:156(isdense) |
||
| 356 | 10 0.000 0.000 0.000 0.000 sputils.py:171(_unpack_index) |
||
| 357 | 10 0.000 0.000 0.000 0.000 sputils.py:196(_check_boolean) |
||
| 358 | 15 0.000 0.000 0.004 0.000 sputils.py:24(upcast) |
||
| 359 | 1 0.000 0.000 0.000 0.000 sputils.py:63(upcast_char) |
||
| 360 | 68 0.000 0.000 0.004 0.000 sputils.py:80(to_native) |
||
| 361 | 37 0.000 0.000 0.000 0.000 sputils.py:84(getdtype) |
||
| 362 | 20 0.004 0.000 0.008 0.000 sre_compile.py:178(_compile_charset) |
||
| 363 | 20 0.000 0.000 0.004 0.000 sre_compile.py:207(_optimize_charset) |
||
| 364 | 98 0.000 0.000 0.000 0.000 sre_compile.py:24(_identityfunction) |
||
| 365 | 2 0.000 0.000 0.000 0.000 sre_compile.py:258(_mk_bitmap) |
||
| 366 | 40/4 0.000 0.000 0.008 0.002 sre_compile.py:32(_compile) |
||
| 367 | 20 0.000 0.000 0.000 0.000 sre_compile.py:354(_simple) |
||
| 368 | 4 0.000 0.000 0.004 0.001 sre_compile.py:359(_compile_info) |
||
| 369 | 8 0.000 0.000 0.000 0.000 sre_compile.py:472(isstring) |
||
| 370 | 4 0.000 0.000 0.012 0.003 sre_compile.py:478(_code) |
||
| 371 | 4 0.000 0.000 0.020 0.005 sre_compile.py:493(compile) |
||
| 372 | 88 0.000 0.000 0.000 0.000 sre_parse.py:126(__len__) |
||
| 373 | 174 0.000 0.000 0.000 0.000 sre_parse.py:130(__getitem__) |
||
| 374 | 20 0.000 0.000 0.000 0.000 sre_parse.py:134(__setitem__) |
||
| 375 | 61 0.000 0.000 0.000 0.000 sre_parse.py:138(append) |
||
| 376 | 60/24 0.004 0.000 0.004 0.000 sre_parse.py:140(getwidth) |
||
| 377 | 4 0.000 0.000 0.000 0.000 sre_parse.py:178(__init__) |
||
| 378 | 245 0.004 0.000 0.004 0.000 sre_parse.py:182(__next) |
||
| 379 | 166 0.000 0.000 0.004 0.000 sre_parse.py:195(match) |
||
| 380 | 189 0.000 0.000 0.000 0.000 sre_parse.py:201(get) |
||
| 381 | 12 0.000 0.000 0.000 0.000 sre_parse.py:205(tell) |
||
| 382 | 2 0.000 0.000 0.000 0.000 sre_parse.py:257(_escape) |
||
| 383 | 16/4 0.004 0.000 0.008 0.002 sre_parse.py:301(_parse_sub) |
||
| 384 | 18/6 0.000 0.000 0.008 0.001 sre_parse.py:379(_parse) |
||
| 385 | 4 0.000 0.000 0.000 0.000 sre_parse.py:67(__init__) |
||
| 386 | 4 0.000 0.000 0.008 0.002 sre_parse.py:675(parse) |
||
| 387 | 12 0.000 0.000 0.000 0.000 sre_parse.py:72(opengroup) |
||
| 388 | 12 0.000 0.000 0.000 0.000 sre_parse.py:83(closegroup) |
||
| 389 | 40 0.000 0.000 0.000 0.000 sre_parse.py:90(__init__) |
||
| 390 | 10972 0.024 0.000 0.024 0.000 stat.py:24(S_IFMT) |
||
| 391 | 10962 0.052 0.000 0.076 0.000 stat.py:49(S_ISREG) |
||
| 392 | 10 0.000 0.000 0.000 0.000 stat.py:55(S_ISLNK) |
||
| 393 | 783 4.124 0.005 82.564 0.105 structured_data_extractor.py:105(get_encounters) |
||
| 394 | 217350 0.368 0.000 0.368 0.000 structured_data_extractor.py:118(<lambda>) |
||
| 395 | 3915 56.340 0.014 855.680 0.219 structured_data_extractor.py:121(get_labs_before_date) |
||
| 396 | 783 4.604 0.006 91.520 0.117 structured_data_extractor.py:26(get_diagnoses) |
||
| 397 | 2 0.000 0.000 0.000 0.000 text.py:1192(__init__) |
||
| 398 | 2 0.000 0.000 0.000 0.000 text.py:638(__init__) |
||
| 399 | 2 0.000 0.000 0.000 0.000 text.py:951(__init__) |
||
| 400 | 15 0.000 0.000 0.000 0.000 validation.py:105(_num_samples) |
||
| 401 | 2 0.000 0.000 0.000 0.000 validation.py:126(_shape_repr) |
||
| 402 | 6 0.000 0.000 0.000 0.000 validation.py:153(<genexpr>) |
||
| 403 | 6 0.000 0.000 0.000 0.000 validation.py:160(check_consistent_length) |
||
| 404 | 1 0.000 0.000 0.000 0.000 validation.py:177(indexable) |
||
| 405 | 2 0.000 0.000 0.000 0.000 validation.py:203(_ensure_sparse_format) |
||
| 406 | 2 0.000 0.000 0.004 0.002 validation.py:268(check_array) |
||
| 407 | 1 0.000 0.000 0.004 0.004 validation.py:371(check_X_y) |
||
| 408 | 3 0.000 0.000 0.000 0.000 validation.py:43(_assert_all_finite) |
||
| 409 | 13 0.000 0.000 0.004 0.000 validation.py:459(column_or_1d) |
||
| 410 | 2 0.000 0.000 0.000 0.000 validation.py:503(check_random_state) |