CloudForest
CloudForest copied to clipboard
Ensembles of decision trees in go/golang.
Hello Ryan, Kudos to you for this great project. One small issue.... I tried many many ways of specifying the blacklisted features in the file (csv, tsv, json) before I...
Hi Ryan -- this looks like a great project. I'm a big fan of Go. I would like to restrict the features (a.k.a. the independent variables available for the next...
Generate random derived features: http://media.nips.cc/nipsbooks/nipspapers/paper_files/nips26/289.pdf
When running `growforest` with option `-adaboost` I get: ``` panic: interface conversion: *CloudForest.AdaBoostTarget is not CloudForest.BoostingTarget: missing method Boost goroutine 1 [running]: main.main.func1() [...]/github.com/ryanbressler/CloudForest/growforest/growforest.go:683 +0x1763 main.main() [...]/github.com/ryanbressler/CloudForest/growforest/growforest.go:748 +0x2673 ```
I think their is bug in the python wrapper code, in the file /wrappers/python/CFClassifier.py at line 76. The final TSV generated has **NA** at the end. 0 6 NA 1...
I run into an error using libsvm's sparse format, given the following files: 1. Training data, 5 instances: https://www.dropbox.com/s/nlzfgj9235ffhsd/cf_test2.train.libsvm?dl=1 ``` 1.00000001 2:4.682604e-01 3:6.842105e-01 ... 1.60000001 2:2.247624e+00 3:4.454545e-01 ... ... ```...
BestSplitBigCatIter is too slow. Possibly investigate using fully randomized search earlier or "Stochastic Greedy Algorithms: A leaning based approach to combinatorial optimization" [1] as in rf-ace. [1] http://www.thinkmind.org/index.php?view=article&articleid=soft_v4_n12_2011_1
I made a small patch on my own fork to report a little bit more data with `-test` when `growforest` is finishing. It looks like this: ``` Error: 0.06121835978431722 Accuracy:...
http://nerds.airbnb.com/confidence-splitting-criterions/
I have this sweet matrix, but I have very little idea what it means :) ``` N:sold_price 0 0 0 NaN 0 0 N:current_list_price 3.3253227556326355e+13 3215 2.672728164839731e+15 2.672728164839731e+15 40 1.675...