初赛开源及讲解博客:http://www.javashuo.com/article/p-glixvpef-b.htmlpython
复赛介绍博客:http://www.javashuo.com/article/p-aqgvrjkt-b.htmldom
代码包括两个部分,1.训练代码和2.预测代码.net
1.训练代码,用的了KFold,加权loss与残差链接code
from glob import glob import pandas as pd import numpy as np from scipy.io import loadmat import math from matplotlib import pyplot as plt from keras.layers import * from keras.models import * from keras.optimizers import * import keras from keras import backend as K #import tqdm import random import tensorflow as tf seed = 1234 random.seed(seed) tf.set_random_seed(seed) base_path = "/media/jdcloud/" train_base_dir = base_path+"Train/" val_base_dir = base_path+"Val/" ref_path = base_path+"reference.csv" my_ref_path = "my_ref.csv" train_ref_path = "train.csv" BZ = 100