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Author SHA1 Message Date
Richard Townsend
4fd88d834f @mish15's re-write of Predict() 2014-05-23 12:19:10 +01:00
Richard Townsend
ce2afe34fb Benchmarking 2014-05-23 12:16:11 +01:00
Richard Townsend
7a33d2b9b2 Making Fit() more idiomatic 2014-05-20 09:06:59 +01:00
Richard Townsend
61f65e04aa Merge branch 'randomforests-upstream' of github.com:Sentimentron/golearn into randomforests-upstream 2014-05-19 12:59:25 +01:00
Richard Townsend
a6072ac9de Package documentation 2014-05-19 12:59:11 +01:00
Richard Townsend
889fec4419 Examples for RandomForest, ID3 and Random trees 2014-05-19 12:42:03 +01:00
Richard Townsend
ab39d0c972 Fixed race conditions 2014-05-18 20:59:46 +01:00
Richard Townsend
45ca6063f1 Not sure if this bagging version is better or not 
More more similar to "Attribute bagging:improving accuracy of classifier ensembles by using random feature subsets" (Brill)
 2014-05-18 11:49:35 +01:00
Richard Townsend
1b0e2dce7c Correction to randomisation and train-test split 2014-05-18 11:23:32 +01:00
Richard Townsend
26660e1470 Corrected a problem with pruning, actual ID3 decision tree type 
Going to modify Bagging to select attributes on its own
 2014-05-17 21:45:26 +01:00
Richard Townsend
12ace9def5 Identified source of the low accuracy 2014-05-17 20:37:19 +01:00
Richard Townsend
13c0dc3eba Reduced-error pruning 2014-05-17 18:06:01 +01:00
Richard Townsend
c516907b13 Passes all the tests 2014-05-17 17:35:10 +01:00
Richard Townsend
db3ac3c695 ID3 algorithm working 2014-05-17 17:28:51 +01:00
Richard Townsend
cf165695c8 ChiMerge seems to improve accuracy 2014-05-17 16:20:56 +01:00
Richard Townsend
fdb67a4355 Initial work on decision trees 
Random Forest has occasional disastrous accuracy:
	 never seen that happen in WEKA
 2014-05-14 14:00:22 +01:00
Richard Townsend
f59cac6345 Equal-width and Chi-merge discretisation 2014-05-13 22:45:52 +01:00
Richard Townsend
c6972988ee Merge pull request #27 from Sentimentron/instances 
Adds Attributes and Instances
 2014-05-13 22:22:17 +01:00
Richard Townsend
a2c67592df Adds Instances and Attributes type 
* Refactors KNNClassifier to use them
* csv handling moved back into base due to a circular dependency
* Also adds the datasets used to test CSV handling
 2014-05-13 22:08:11 +01:00
Stephen Whitworth
9f3d9eaa64 Update linear_regression.go 
Removing merge conflict.
 2014-05-06 23:13:02 +01:00
Stephen Whitworth
d069d68d05 Merge branch 'master' of https://github.com/sjwhitworth/golearn 2014-05-05 22:49:06 +01:00
Stephen Whitworth
1ade0afca6 Refactored KNN to implement the estimator interface 2014-05-05 22:41:55 +01:00
Stephen Whitworth
3850153945 Merge pull request #20 from sjwhitworth/feature/ifesdjeen/distances2 
Remeake of my previous distances branch
 2014-05-05 22:17:23 +01:00
Stephen Whitworth
3eaeafd0dc Merge branch 'feature/ifesdjeen/distances2' of https://github.com/sjwhitworth/golearn into optimisation 2014-05-05 21:57:08 +01:00
Stephen Whitworth
7e8eb70cd1 Implemented batch and stochastic gradient descent 2014-05-05 21:40:51 +01:00
Stephen Whitworth
cd43a6565d Implemented batch and stochastic gradient descent 2014-05-05 21:40:33 +01:00
Alex Petrov
93894245ad Change wording for Eucledian Distance comments 2014-05-05 22:30:04 +02:00
Bert Chang
1e21802d2e Use AlmostEqual for numerical comparison. 2014-05-05 23:28:49 +08:00
Alex Petrov
1d250aab6b Remove unused subVector calls 2014-05-05 08:45:29 +02:00
Alex Petrov
13327e9250 Run goftm on all files ti fix indentation 2014-05-05 08:32:38 +02:00
Stephen Whitworth
dc96e818d8 Made a start on gradient descent 2014-05-05 02:39:00 +01:00
Alex Petrov
ad77c0dc7e Add Chebyshev and Cranberra distances, improve Manhattan distance 
Previously, Manhattan distance measure was only able to calculate
vector distances. Now, it's possible to calculate distances on
matrices, too, without unnecessary overhead of copying vectors,
doing an in-place lookups.
 2014-05-04 23:11:37 +02:00
Alex Petrov
1c22641a3b Fix manhattan distance calculation 2014-05-04 22:58:32 +02:00
Stephen Whitworth
b4abf54c07 Changing comments to play nicely with godoc 2014-05-04 09:57:57 +01:00
Stephen Whitworth
73e7df1ef0 Refactored KNN 2014-05-04 09:53:53 +01:00
Stephen Whitworth
99b7f26f09 Merge branch 'master' of https://github.com/sjwhitworth/golearn into docs 2014-05-04 09:52:27 +01:00
Stephen Whitworth
82e5bf014f Refactored knn 2014-05-04 09:52:13 +01:00
Stephen Whitworth
7090138b88 Update golearn.go 2014-05-04 09:49:20 +01:00
Stephen Whitworth
ea3b3842c9 Update utilities.go 2014-05-04 09:48:00 +01:00
Stephen Whitworth
aee7e69e7b Update knn.go 2014-05-04 09:39:21 +01:00
Stephen Whitworth
a92d830ec3 Update golearn.go 2014-05-04 09:38:35 +01:00
Stephen Whitworth
71e9a8502c Update golearn.go 2014-05-04 09:37:02 +01:00
Stephen Whitworth
be7ac21a55 Update README.md 2014-05-04 09:31:31 +01:00
Stephen Whitworth
79e240df3d Update README.md 2014-05-04 09:30:38 +01:00
Stephen Whitworth
94077bd6db Merge pull request #18 from sjwhitworth/interfaces 
KNN, Metrics and interface design
 2014-05-04 09:22:31 +01:00
Stephen Whitworth
822b4c389f Finished an implementation of KNN 2014-05-03 23:08:43 +01:00
Stephen Whitworth
0c4d803b5b Update README.md 2014-05-03 18:38:20 +01:00
Stephen Whitworth
7b741964f3 Update README.md 2014-05-03 18:36:08 +01:00
Stephen Whitworth
a903ad288e Merge pull request #15 from nbsantos/cross-validation 
Cross validation
 2014-05-03 17:52:12 +01:00
Stephen Whitworth
798751c839 Merge pull request #12 from sjwhitworth/metrics 
Metrics
 2014-05-03 17:37:51 +01:00