differential entropy 方法

详细参考论文Differential Entropy Feature for EEG-based Emotion Classification by Bao-Liang Lu实验室的

具体使用方法：使用方法是先从matlab处理好数据之后，放到pool里，执行loadDataSet，然后再执行trainModel_，就会出结果了，训练好的模型会出现在model/DE/supervised里

数据方式可看图数据储存方式.png

by Kent 家瀚

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
.vscode		.vscode
dataset		dataset
labelset		labelset
model		model
tools		tools
.DS_Store		.DS_Store
.gitattributes		.gitattributes
.gitignore		.gitignore
DE分析.pptx		DE分析.pptx
Differential Entropy Feature for EEG-based Emotion Classification.pdf		Differential Entropy Feature for EEG-based Emotion Classification.pdf
LICENSE		LICENSE
README.md		README.md
classification_methods.py		classification_methods.py
classifier_methods.py		classifier_methods.py
differential_entropy.py		differential_entropy.py
eeg_gigadb_topoplot.jpg		eeg_gigadb_topoplot.jpg
generateReport.py		generateReport.py
loadDataSet.py		loadDataSet.py
preprocess_methods.py		preprocess_methods.py
report.ipynb		report.ipynb
run_script.ipynb		run_script.ipynb
spatialFilter.py		spatialFilter.py
testModel.py		testModel.py
trainModel_.py		trainModel_.py
validateMethods.py		validateMethods.py
数据储存方式.png		数据储存方式.png

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