Mahdi Dibaiee
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3cf0625794
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fix(precision): little bug in implementation
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2016-07-30 16:52:34 +04:30 |
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Mahdi Dibaiee
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76e7e7faef
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fix(recall, precision): little bug in calculations
feat(fmeasure): calculate fmeasure using recall and precision
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2016-07-29 22:09:30 +04:30 |
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Mahdi Dibaiee
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812717522e
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refactor(&&&): use &&& instead of the arrow function
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2016-07-29 18:20:35 +04:30 |
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Mahdi Dibaiee
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b5b4629318
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feat(results): accuracy, recall and precision functions used to calculate measures
fix: read data from another repository
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2016-07-29 17:55:59 +04:30 |
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Mahdi Dibaiee
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eeabe4696c
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chore(README): simple initial README
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2016-07-29 16:26:50 +04:30 |
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Mahdi Dibaiee
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26eb4531fa
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feat(naivebayes): implement NaiveBayes algorithm
feat(example): a document classifier using NaiveBayes over reuters data
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2016-07-29 16:16:44 +04:30 |
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Mahdi Dibaiee
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493a20eb0a
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feat(crossEntropy): crossEntropy cost function
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2016-07-24 10:48:04 +04:30 |
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Mahdi Dibaiee
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49606406d1
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fix(run): I had written logistic' wrong, that's what happens when you write code while sleepy
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2016-07-20 12:06:19 +04:30 |
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Mahdi Dibaiee
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b941580273
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chore
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2016-07-20 10:16:13 +04:30 |
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Mahdi Dibaiee
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f5a0c23d99
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feat(randomNetwork): generate random networks with a simple function
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2016-07-18 17:07:12 +04:30 |
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Mahdi Dibaiee
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23851a85f5
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fix(stack): use stack build and exec instead of manual stack ghc
refactor: rename from Lib to Sibe
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2016-07-18 16:33:34 +04:30 |
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Mahdi Dibaiee
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4397f5203a
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fix(train): fix an error in computing layer's error
feat(examples): add an example (xor)
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2016-07-18 00:30:17 +04:30 |
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Mahdi Dibaiee
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763faef434
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fix(session): missing n definition throws error
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2016-07-17 17:14:50 +04:30 |
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Mahdi Dibaiee
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fb01d936c2
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Merge branch 'master' of github.com:mdibaiee/sibe
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2016-07-17 16:54:16 +04:30 |
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Mahdi Dibaiee
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59ab00e9c2
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initial commit, still work in progress
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2016-07-17 16:53:13 +04:30 |
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Mahdi Dibaiee
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ba301efb29
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Initial commit
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2016-07-17 16:52:16 +04:30 |
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