ML2018SPRING:NTUEE 2018Spring课程-机器学习（吴佩元，李鸿-，林宗南）
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2021-04-29
21:40:39
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ML2018SPRING-master.zip （94个子文件） 
ML2018SPRING-master hw5 
ensemble.py 3KB word2vec_weights.npy 97.63MB train.py 12KB hw5_train.sh 26B word2idx.json 867KB idx2word.json 967KB
Report.pdf 894KB hw5_train.py 12KB hw5_test.sh 239B hw5_test.py 3KB output.py 259B hw6 ensemble.py 845B model_84178.h5 30.65MB ensemble.h5 31.63MB train.py 9KB Q4.py 2KB Report.pdf 721KB hw6_best.sh 39B hw6_test.py 100B mean_std.npy 144B hw6.sh 42B output.py 259B hw2 num2.npy 132B mu1.npy 1KB NN.py 5KB hw2_log.py 4KB sk_model.sav 2KB train.py 18KB sklogistic.py 1KB hw2_logistic.sh 31B hw2_best.sh 33B hw2_generative.sh 31B Report.pdf 425KB num1.npy 132B hw2_gen.py 5KB hw2_best.py 4KB model_w_Dis.npy 1KB skans.csv 116KB sigma.npy 171KB mu2.npy 1KB hw3 hw3_train.py 8KB train.py 11KB Report.pdf 2MB my_ensemble_model_71301.h5 21.54MB hw3_test.sh 29B hw3_test.py 2KB hw3_train.sh 29B my_ensemble_model_70911.h5 28.73MB counter.py 1KB final 
prob (5).txt 575KB testdata.json 3.19MB REPRODUCE train.py 16KB WORD2VECDICT 21.05MB dataset testing_data_seg.csv 1.42MB BEST.plk 6.83MB ensemble.h5 65.72MB prob (2).txt 603KB prob.txt 574KB prob (3).txt 582KB rnn_encoder.py 20KB prob (7).txt 575KB nega.npy 237KB prob (4).txt 582KB Machine Learning Final Project - conversations in TV shows.pdf 1.72MB Machine Learning Final Project - conversations in TV shows.md 19KB prob (1).txt 575KB prob (6).txt 576KB hw4 ensemble.py 700B auto.py 1KB p2.py 1KB pca.sh 20B hw4.sh 22B p1.py 2KB Report.pdf 907KB klabels.npy 547KB output.py 257B README.md 2KB hw1 model_w_No2.npy 416B NN.py 4KB plot_feature.py 1KB train.py 16KB hw1_best.sh 40B regularization.py 1KB feature.py 3KB Report.pdf 701KB model_w_HW1.npy 416B validation.py 525B model_w_No4.npy 336B hw1.py 4KB ans.csv 6KB model_w_No1.npy 408B model_w_HW1BEST.npy 416B hw1.sh 42B model_w_best!!!.npy 272B资源评论
