Code About Machine Learning In Python
ReadFile.py I design an method reading a file, but not so efficient.
file2mat -> savemat (-> readmat) file2mat Input: file and a num<=1 Output: if num=1,return mat and label, if num<1,return a random [trainMat,trainLabel,testMat,testLabel] savemat save matrix as txt readmat load matrix
So I learn how to coding xgboost in python.
binary_classification base on binary_classification of xgboost, and I code by myself. More details, you can see readme.md in binary_classification