mirror of
https://github.com/DarkPlacesEngine/gmqcc.git
synced 2024-11-27 22:22:17 +00:00
Fixes and more documentation
This commit is contained in:
parent
44a7154f58
commit
d98cc564b1
1 changed files with 25 additions and 12 deletions
23
correct.c
23
correct.c
|
@ -44,9 +44,20 @@
|
|||
* out of all possible corrections that maximizes the probability of C
|
||||
* for the original identifer I.
|
||||
*
|
||||
* Bayes' Therom suggests something of the following:
|
||||
* Thankfully there exists some theroies for probalistic interpretations
|
||||
* of data. Since we're operating on two distictive intepretations, the
|
||||
* transposition from I to C. We need something that can express how much
|
||||
* degree of I should rationally change to become C. this is called the
|
||||
* Bayesian interpretation. You can read more about it from here:
|
||||
* http://www.celiagreen.com/charlesmccreery/statistics/bayestutorial.pdf
|
||||
* (which is probably the only good online documentation for bayes theroy
|
||||
* no lie. Everything else just sucks ..)
|
||||
*
|
||||
* Bayes' Thereom suggests something like the following:
|
||||
* AC P(I|C) P(C) / P(I)
|
||||
* Since P(I) is the same for every possibly I, we can ignore it giving
|
||||
*
|
||||
* However since P(I) is the same for every possibility of I, we can
|
||||
* complete ignore it giving just:
|
||||
* AC P(I|C) P(C)
|
||||
*
|
||||
* This greatly helps visualize how the parts of the expression are performed
|
||||
|
@ -111,6 +122,7 @@
|
|||
* Our control mechanisim could use a limit, i.e limit the number of
|
||||
* sets of edits for distance X. This would also increase execution
|
||||
* speed considerably.
|
||||
*
|
||||
*/
|
||||
|
||||
|
||||
|
@ -163,12 +175,12 @@ static GMQCC_INLINE char *correct_pool_claim(const char *data) {
|
|||
}
|
||||
|
||||
/*
|
||||
* A fast space efficent trie for a disctonary of identifiers. This is
|
||||
* A fast space efficent trie for a dictionary of identifiers. This is
|
||||
* faster than a hashtable for one reason. A hashtable itself may have
|
||||
* fast constant lookup time, but the hash itself must be very fast. We
|
||||
* have one of the fastest hash functions for strings, but if you do a
|
||||
* lost of hashing (which we do, almost 3 million hashes per identifier)
|
||||
* a hashtable becomes slow. Very Very Slow.
|
||||
* a hashtable becomes slow.
|
||||
*/
|
||||
correct_trie_t* correct_trie_new() {
|
||||
correct_trie_t *t = (correct_trie_t*)mem_a(sizeof(correct_trie_t));
|
||||
|
@ -440,7 +452,8 @@ static char **correct_known(correct_trie_t* table, char **array, size_t rows, si
|
|||
end = correct_edit(array[itr]);
|
||||
row = correct_size(array[itr]);
|
||||
|
||||
for (; jtr < row; jtr++) {
|
||||
/* removing jtr=0 here speeds it up by 100ms O_o */
|
||||
for (jtr = 0; jtr < row; jtr++) {
|
||||
if (correct_find(table, end[jtr]) && !correct_exist(res, len, end[jtr])) {
|
||||
res = correct_known_resize(res, &nxt, len+1);
|
||||
res[len++] = end[jtr];
|
||||
|
|
Loading…
Reference in a new issue