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@thomasjungblut
thomasjungblut / xgb_bayes_opt_cv.py
Last active May 22, 2024 22:14
XGBoost hyper parameter optimization using bayes_opt
from bayes_opt import BayesianOptimization
from sklearn.cross_validation import KFold
import xgboost as xgb
def xgbCv(train, features, numRounds, eta, gamma, maxDepth, minChildWeight, subsample, colSample):
# prepare xgb parameters
params = {
"objective": "reg:linear",
"booster" : "gbtree",
"eval_metric": "mae",
@farrajota
farrajota / mpii_mat2json.m
Last active December 27, 2023 13:45
Convert mpii annotations from .mat to .json format
function mpii_convert_json( )
% convert mpii annotations .mat file to .json
%% load annotation file
fprintf('Load annotations... ')
data = load('/media/HDD2/Datasets/Human_Pose/mpii/mpii_human_pose_v1_u12_2/mpii_human_pose_v1_u12_1.mat');
fprintf('Done.\n')
%% open file
fprintf('Open file mpii_human_pose_annotations.json\n')