Commit Graph

18 Commits

Author SHA1 Message Date
Mahdi Dibaiee
85971bc84d feat(w2v): draw text charts for words 2016-10-01 12:24:36 +03:30
Mahdi Dibaiee
d9d24f69a6 feat(blogs-corpus): new corpus for word2vec 2016-09-19 16:00:45 +04:30
Mahdi Dibaiee
f16cc26798 perf(word2vec): better word2vec 2016-09-16 18:46:21 +04:30
Mahdi Dibaiee
0d43814448 fix(word2vec): simple example of word2vec 2016-09-16 14:03:15 +04:30
Mahdi Dibaiee
d4ac90bbd5 rm(sin): remove sin example
fix(ignoreBiases): was ignoring nodes, lol
fix(w2v): better logging and implementation
2016-09-16 13:31:23 +04:30
Mahdi Dibaiee
c0083f5c05 fix(notmnist): notmnist sigmoid chart with 10 epochs 2016-09-13 10:04:30 +04:30
Mahdi Dibaiee
6b9cb1fa3e relu: run notmnist using relu activation and draw the chart
[wip] word2vec: work in progress implementation of word2vec
2016-09-13 09:49:44 +04:30
Mahdi Dibaiee
b26347e19f feat(notmnist): notmnist example using SGD + learning rate decay 2016-09-10 00:36:15 +04:30
Mahdi Dibaiee
891f48a2d0 feat(topten): top-ten classification with evenly distrubuted data 2016-08-21 00:59:42 +04:30
Mahdi Dibaiee
b2888417bb fix(cleanText): remove unnecessary spaces
fix(run): use `1 - prior` for alpha, no need for smoothing
feat(cleanText): turn all text to lowercase
2016-08-09 16:04:57 +04:30
Mahdi Dibaiee
eebf5e0222 feat(verbose): print more information using -v or --verbose flags 2016-08-08 12:35:26 +04:30
Mahdi Dibaiee
099c25e166 feat(stopwords): removeWords and removeStopwords functions as pre-processors
feat(confidence, WIP): calculate confidence of each classification
2016-08-08 10:02:26 +04:30
Mahdi Dibaiee
ea1f05f001 fix(naivebayes): fix the algorithm to make it actually work
feat(cleanDocuments): preprocess documents, use stemming and stopword elimination for better accuracy
2016-08-05 23:54:36 +04:30
Mahdi Dibaiee
3cf0625794 fix(precision): little bug in implementation 2016-07-30 16:52:34 +04:30
Mahdi Dibaiee
76e7e7faef fix(recall, precision): little bug in calculations
feat(fmeasure): calculate fmeasure using recall and precision
2016-07-29 22:09:30 +04:30
Mahdi Dibaiee
812717522e refactor(&&&): use &&& instead of the arrow function 2016-07-29 18:20:35 +04:30
Mahdi Dibaiee
b5b4629318 feat(results): accuracy, recall and precision functions used to calculate measures
fix: read data from another repository
2016-07-29 17:55:59 +04:30
Mahdi Dibaiee
26eb4531fa feat(naivebayes): implement NaiveBayes algorithm
feat(example): a document classifier using NaiveBayes over reuters data
2016-07-29 16:16:44 +04:30