quick fix of solaris problem in cranc check
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CHANGES.md
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CHANGES.md
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Change Log
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Change Log
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=====
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==========
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xgboost-0.1
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xgboost-0.1
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=====
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===========
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* Initial release
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* Initial release
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xgboost-0.2x
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xgboost-0.2x
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=====
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============
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* Python module
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* Python module
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* Weighted samples instances
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* Weighted samples instances
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* Initial version of pairwise rank
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* Initial version of pairwise rank
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xgboost-0.3
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xgboost-0.3
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=====
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===========
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* Faster tree construction module
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* Faster tree construction module
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- Allows subsample columns during tree construction via ```bst:col_samplebytree=ratio```
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- Allows subsample columns during tree construction via ```bst:col_samplebytree=ratio```
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* Support for boosting from initial predictions
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* Support for boosting from initial predictions
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@ -22,7 +22,7 @@ xgboost-0.3
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* Add R module
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* Add R module
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xgboost-0.4
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xgboost-0.4
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=====
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===========
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* Distributed version of xgboost that runs on YARN, scales to billions of examples
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* Distributed version of xgboost that runs on YARN, scales to billions of examples
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* Direct save/load data and model from/to S3 and HDFS
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* Direct save/load data and model from/to S3 and HDFS
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* Feature importance visualization in R module, by Michael Benesty
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* Feature importance visualization in R module, by Michael Benesty
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@ -35,9 +35,11 @@ xgboost-0.4
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* sklearn wrapper is supported in python module
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* sklearn wrapper is supported in python module
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* Experimental External memory version
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* Experimental External memory version
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on going version
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on going at master
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=====
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==================
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* Fix List
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- Fixed possible problem of poisson regression for R.
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* Python module now throw exception instead of crash terminal when a parameter error happens.
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* Python module now throw exception instead of crash terminal when a parameter error happens.
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* Java api is ready for use
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* Java api is ready for use
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* Added more test cases and continuous integration to make each build more robust
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* Added more test cases and continuous integration to make each build more robust
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* Improvements in sklearn compatible module
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* Improvements in sklearn compatible module
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@ -24,10 +24,10 @@ If you face an issue installing the package using ```devtools::install_github``
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```
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```
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devtools::install_github('dmlc/xgboost',subdir='R-package')
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devtools::install_github('dmlc/xgboost',subdir='R-package')
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Downloading github repo dmlc/xgboost@master
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Downloading github repo dmlc/xgboost@master
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Error in function (type, msg, asError = TRUE) :
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Error in function (type, msg, asError = TRUE) :
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Peer certificate cannot be authenticated with given CA certificates
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Peer certificate cannot be authenticated with given CA certificates
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```
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```
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To get around this you can build the package locally as mentioned [here](https://github.com/dmlc/xgboost/issues/347) -
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To get around this you can build the package locally as mentioned [here](https://github.com/dmlc/xgboost/issues/347) -
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```
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```
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1. Clone the current repository and set your workspace to xgboost/R-package/
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1. Clone the current repository and set your workspace to xgboost/R-package/
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2. Run R CMD INSTALL --build . in terminal to get the tarball.
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2. Run R CMD INSTALL --build . in terminal to get the tarball.
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@ -32,7 +32,7 @@ extern "C" {
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bool CheckNAN(double v) {
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bool CheckNAN(double v) {
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return ISNAN(v);
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return ISNAN(v);
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}
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}
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bool LogGamma(double v) {
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double LogGamma(double v) {
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return lgammafn(v);
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return lgammafn(v);
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}
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}
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} // namespace utils
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} // namespace utils
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