Francis Oliveira
d33eb47a05
Fix random forest model loading
2021-01-10 00:56:45 -03:00
Yaser Azfar
ae8d7f7baa
adds error checking for err variable that were being left unchecked
2019-12-27 12:10:38 +13:00
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
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
ead76bdd7e
I think I'm going to refocus this whole thing
2017-09-09 12:31:32 +01:00
Richard Townsend
8fe06e7332
Support for individual class weightings
2014-10-30 23:28:26 +00:00
Richard Townsend
981d43f1dd
Adds support for multi-class linear SVMs.
...
This patch
* Adds a one-vs-all meta classifier into meta/
* Adds a LinearSVC (essentially the same as LogisticRegression
but with different libsvm parameters) to linear_models/
* Adds a MultiLinearSVC into ensemble/ for predicting
CategoricalAttribute classes with the LinearSVC
* Adds a new example dataset based on classifying article headlines.
The example dataset is drawn from WikiNews, and consists of an average,
min and max Word2Vec representation of article headlines from three
categories. The Word2Vec model was computed offline using gensim.
2014-10-05 11:15:41 +01:00
Amit Kumar Gupta
9f67f73330
Convert some tests to goconvey, and improve assertions along the way
2014-08-22 13:39:29 +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
66ad866cb3
RandomForest panics when trying to fit data with too few features instead of just hanging forever
2014-08-22 07:39:14 +00:00
Amit Kumar Gupta
21bb2fc9fa
Remove redundant import renames
2014-08-22 07:21:24 +00:00
Richard Townsend
2e5deb1476
ensemble: merge from v2-instances
2014-08-03 15:16:50 +01:00
Niclas Jern
627a5537d3
Comments should be of the form "<Struct> ..." or "<MethodName> ..."
2014-07-18 13:48:28 +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
1b0e2dce7c
Correction to randomisation and train-test split
2014-05-18 11:23:32 +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
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
