Adding an option to remove the values from the features importances plot in Python.

* Removal of redundant code/files.
* Removal of exact namespace in GPU plugin
* Revert double ...

* Support instance weights for xgboost4j-spark

* Use 0.001 instead of 0 for weights

* Addr...

* Update GPU acceleration demo

* Fix parameter formatting

* [GPU-Plugin] Add GPU accelerated prediction

* Improve allocation message

* Update docume...

* Converted ml.dmlc.xgboost4j.LabeledPoint to Scala

This allows to easily integrate LabeledPo...

* [GPU-Plugin] Added compute compatibility error check, added verbose timing

* fix indentation - otherwise list items are rendered incorrectly
* consistency: no spaces insi...

* repared serialization after update process; fixes #2545

* non-stratified folds in python co...

* Fix test large

* Add check for max_depth 0

* Update readme

* Add LBS specialisation f...

* [WIP] Extract prediction into separate interface

* Add copyright, fix linter errors

* Ad...

* for MinGW, drop the 'lib' prefix from shared library name

* fix defines for 'g++ 4.8 or hig...

* Multi-threaded XGDMatrixCreateFromMat for faster DMatrix creation from numpy arrays for python...

* Deduplicated DataFrame creation in XGBoostDFSuite

* Extracted dermatology.data into MultiCl...

Includes:
- Dockerfile changes
- Dockerfile clean up
- Fix execution privileges of ...

* [jvm-packages] Deduplicated train/test data access in tests

All datasets are now available ...

It has been reported that new parallel algorithm (#2493) results in excessive
message usage (se...

Fixed spacing under "Model Complexity" section

* fix Makefile for make on windows

* clean up compilation warnings

* fix for `no file name...

* Patch to improve multithreaded performance scaling

Change parallel strategy for histogram c...

- fix deprecated expression on StratifiedKFold
- use range instead of xrange

* Cmake improvements
* Add google test to cmake

Prior to this commit XGBoostModel.predict produced an RDD with
an array of predictions for each...

* Disabled excessive Spark logging in tests

* Fixed a singature of XGBoostModel.predict

Pr...

The original URL shows 404 Error.

* Fixed DLL name on Windows in ``xgboost.libpath``

* Added support for OS X to ``xgboost.libp...

* Exposed prediction feature contribution on the Java side

* was not supplying the newly adde...

* Add build failure message

* quit on error

* [jvm-packages] Ensure the native library is loaded once

Previously any class using XGBoostJ...

When using xgboost4j-spark I had executors getting killed much more
often than i would expect b...

* [jvm-packages] Fixed compilation on Windows

* [jvm-packages] Build the JNI bindings on Appv...

I had to fight with my linux box for a day to find the solution to the problem. I hope than this...

The objective section was missing a space and thus all the bullet were are the same level.

* many minor changes to increase robustness of R code

* fixing which mistake in xgb.model.dt....

Previously the code relied on the tracker process being terminated
by the OS, which was not the...

* Support for builing gpu-plugins to specific GPU architectures
1. Option GPU_COMPUTE_VER expos...

* add a testcase causing RuntimeError

* move seed/random_state/nthread/n_jobs check to get_xg...

* [jvm-packages] Fixed JNI_OnLoad overload

It does not compile on Windows without proper expo...

* [jvm-packages] Replaced create_jni.{bat,sh} with a Python version

This allows to have a sin...

Use int32_t explicitly when serializing version field of dmatrix in binary
format. On ILP64 arc...

* Integrating a faster version of grow_gpu plugin
1. Removed the older files to reduce duplicat...

* [jvm-packages] Added libxgboost4j to CMake build

* [jvm-packages] Wired CMake build into cr...

Don't use implicit conversions to c_int, which incidentally happen to work
on (some) 64-bit pla...

XGBoostJNI.java was not excluded on Windows, probably because the path
specified in 'checkstyle...

* Specified 'exec-maven-plugin' version

* Changed 'create_jni.sh' to fail on error

and als...

for loop in create.new.tree.features was referencing length(trees) as the upper bound of the loo...

* Clean up demo of multiclass classification

* Remove extra space

* Added kwargs support for Sklearn API

* Updated NEWS and CONTRIBUTORS

* Fixed CONTRIBUTOR...

* Added n_jobs and random_state to keep up to date with sklearn API.
Deprecated nthread and see...

* [gblinear] add features contribution prediction; fix DumpModel bug

* [gbtree] minor changes...

* Fix compilation on OS X with GCC 7

Compilation failed with

In file included from src/tre...

* Add option to choose booster in scikit intreface (gbtree by default)

* Add option to choose...

* Update ISSUE_TEMPLATE.md

* Update ISSUE_TEMPLATE.md

* add back train method but mark as deprecated

* fix scalastyle error

* disable fast histo...

* [R] add native routines registration

* c_api.h needs to include <cstdint> since it uses fix...

* Add prediction of feature contributions

This implements the idea described at http://blog.d...

The former was just Scala binary tag, and the latter was hardcoded in
the 'xgboost4j-flink' POM.

* add back train method but mark as deprecated

* fix scalastyle error

* fix the persistenc...