mic-RF

I want to implement random forest algorithm on Intel Xeon Phi(MIC).

算法流程：

对样本集进行采样 ————> 构造决策树（n棵）————> 形成森林

构造决策树流程：宽度优先。

重要的变量说明：

int *samples_ids：记录采样得到的样本集 float *sqr_y_list:

splits_info: 如何存放的？先存储一个节点的所有属性

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
test.dSYM/Contents		test.dSYM/Contents
README.md		README.md
RRFparallelInForest.cpp		RRFparallelInForest.cpp
RRFparallelInTree.cpp		RRFparallelInTree.cpp
classifyRF.cpp		classifyRF.cpp
cpuRRFparallelInForest.cpp		cpuRRFparallelInForest.cpp
micNativeRRF.cpp		micNativeRRF.cpp
micRRFparallelInForest.cpp		micRRFparallelInForest.cpp
regressionRF.cpp		regressionRF.cpp
test		test
testRF.cpp		testRF.cpp

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