Richard Townsend
58ae6f4d1b
trees: Try to fix premature write-after-Close issue
2018-01-28 16:35:55 +00:00
Richard Townsend
e2279995c1
Fixing all tests
2018-01-28 16:22:33 +00:00
Richard Townsend
ce78cd0406
Passes the tests
2018-01-27 18:56:01 +00:00
Richard Townsend
f722f2e59d
trees: implement serialization
2018-01-27 18:00:52 +00:00
Richard Townsend
e7fee0a2d1
Reformat, fix tests
2017-09-10 21:10:54 +01:00
Richard Townsend
fc110aab48
Fix bad import, reformat
2017-09-10 20:35:34 +01:00
Richard Townsend
aee475ca14
Fix the trees tests
2017-09-10 20:13:41 +01:00
Richard Townsend
e27215052b
ensemble: tests pass
2017-09-10 19:30:02 +01:00
Richard Townsend
768d2cd19f
meta: tests are almost passing
2017-09-10 16:59:05 +01:00
Richard Townsend
57e6054404
base: fix unmarshalling attributes, add JSON
2017-08-26 14:56:31 +01:00
Richard Townsend
e68361c162
Genericize for ensemble use
2017-08-08 12:37:57 +01:00
Richard Townsend
a90ef09781
Remove excessive logging
2017-08-08 12:29:00 +01:00
Richard Townsend
d23619eac2
OK, but with a lot of extra printing
2017-08-07 17:26:11 +01:00
meirwahnon
674de9cae3
change Probability order
2017-07-17 16:01:49 +03:00
meirwahnon
518c0d84c4
extren fields of ClassProba
2017-07-17 15:35:35 +03:00
meirwahnon
2b478a0513
fix to float precise
2017-07-17 15:01:08 +03:00
meirwahnon
f56fce1a43
support PredictProba
2017-07-17 14:48:38 +03:00
Ryan Schmukler
cf6192c81c
fix(id3): fix panic on SplitAttribute being nil
2016-06-28 14:36:48 -04:00
Richard Townsend
7ba57fe6df
trees: Handling FloatAttributes.
...
This patch adds:
* Gini index and information gain ratio as
DecisionTree split options;
* handling for numeric Attributes (split point
chosen naïvely on the basis of maximum entropy);
* A couple of additional utility functions in base/
* A new dataset (see sources.txt) for testing.
Performance on Iris performs markedly without discretisation.
2014-10-26 17:40:38 +00:00
Amit Kumar Gupta
4d93b9de89
Convert remaining tests to goconvey
2014-08-23 05:22:16 +00:00
Amit Kumar Gupta
1809a8b358
RandomForest returns error when fitting data with fewer features than the RandomForest plans to use
...
- BaseClassifier Predict and Fit methods return errors
- go fmt ./...
Conflicts:
ensemble/randomforest.go
ensemble/randomforest_test.go
trees/tree_test.go
2014-08-22 13:39:29 +00:00
Amit Kumar Gupta
529b3bcaa5
Avoid renaming packages on import
2014-08-22 13:39:29 +00:00
Amit Kumar Gupta
947ee8380e
Return error instead of panicking when unable to get confusion matrix
2014-08-22 13:39:29 +00:00
Amit Kumar Gupta
14aad31821
Consistently use (t *testing.T) instead of T or testEnv
2014-08-22 08:44:41 +00:00
Amit Kumar Gupta
695aec6eb6
Favor idiomatic t.Fatalf over panic for test failures
2014-08-22 08:07:55 +00:00
Amit Kumar Gupta
45545d6ebd
Remove Println's from automated test suite since they aren't assertions
2014-08-22 07:58:01 +00:00
Amit Kumar Gupta
21bb2fc9fa
Remove redundant import renames
2014-08-22 07:21:24 +00:00
Richard Townsend
f9c1e24e5b
neural: stop-gap support for neural networks
2014-08-09 19:27:20 +01:00
Richard Townsend
47341b2869
base: Cleaned up duplicate Attribute resolution functions
2014-08-03 15:17:20 +01:00
Richard Townsend
c2d040af30
trees: merge from v2-instances
2014-08-03 15:17:13 +01:00
albrow
132e3f4527
Create a new default logger and change some print statements to use the logger instead of fmt.Println.
2014-07-20 15:26:13 -04:00
Niclas Jern
627a5537d3
Comments should be of the form "<Struct> ..." or "<MethodName> ..."
2014-07-18 13:48:28 +03:00
Niclas Jern
32f36f28c3
if block ends with a return statement -> drop this else and outdent its block
2014-07-18 13:20:46 +03:00
Remo Hertig
f77c1dcde0
use multiple return values instead of an array in InstancesTrainTestSplit
2014-06-06 21:33:17 +02:00
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
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
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
Stephen Whitworth
1ade0afca6
Refactored KNN to implement the estimator interface
2014-05-05 22:41:55 +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
