GitHub - 1846659840/The-Research-on-a-new-LIME-based-interpretable-machine-learning-and-its-evaluation-method-imagepart: 一個基於LIME的新可解釋機器學習及其評估方法之研究

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Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
10%Mask SVM.xlsx		10%Mask SVM.xlsx
20%Mask SVM.xlsx		20%Mask SVM.xlsx
30%Mask SVM.xlsx		30%Mask SVM.xlsx
40%Mask SVM.xlsx		40%Mask SVM.xlsx
50%Mask SVM.xlsx		50%Mask SVM.xlsx
60%Mask SVM.xlsx		60%Mask SVM.xlsx
70%Mask SVM.xlsx		70%Mask SVM.xlsx
7WD1OLD.py		7WD1OLD.py
80%Mask SVM.xlsx		80%Mask SVM.xlsx
90%Mask SVM.xlsx		90%Mask SVM.xlsx
Boston HomePrice Using Lime (1).ipynb		Boston HomePrice Using Lime (1).ipynb
CAM热力图Demo (1).ipynb		CAM热力图Demo (1).ipynb
CaliforniaHomePrice.ipynb		CaliforniaHomePrice.ipynb
Cancer.csv		Cancer.csv
Cancer.ipynb		Cancer.ipynb
DecisionTree+Logistic Decision Tree 修正.xlsx		DecisionTree+Logistic Decision Tree 修正.xlsx
DecisionTree+Logistic Decision Tree 原始.xlsx		DecisionTree+Logistic Decision Tree 原始.xlsx
DecisionTree+Logistic Logistic修正.xlsx		DecisionTree+Logistic Logistic修正.xlsx
DecisionTree+Logistic Logistic原始.xlsx		DecisionTree+Logistic Logistic原始.xlsx
EnLIMELateestImage.py		EnLIMELateestImage.py
EnLIMELateestimage.ipynb		EnLIMELateestimage.ipynb
EnLIMEText.py		EnLIMEText.py
GBT2-FINETUNE(1).ipynb		GBT2-FINETUNE(1).ipynb
GPT2Finetune.ipynb		GPT2Finetune.ipynb
Hotel2000.xlsx		Hotel2000.xlsx
Kernel shap +PIE.xlsx		Kernel shap +PIE.xlsx
New Hotel2000.xlsx		New Hotel2000.xlsx
RF Deep=100 Num=100修正.xlsx		RF Deep=100 Num=100修正.xlsx
RF Deep=100 Num=100原始.xlsx		RF Deep=100 Num=100原始.xlsx
RF Deep=100 Num=150原始.xlsx		RF Deep=100 Num=150原始.xlsx
RF Deep=100 Num=300原始.xlsx		RF Deep=100 Num=300原始.xlsx
RF Deep=150 Num=100修正.xlsx		RF Deep=150 Num=100修正.xlsx
RF Deep=20 Num=100修正.xlsx		RF Deep=20 Num=100修正.xlsx
RF Deep=20 Num=100原始.xlsx		RF Deep=20 Num=100原始.xlsx
RF Deep=300 Num=100修正.xlsx		RF Deep=300 Num=100修正.xlsx
RF Deep=5 Num=100修正.xlsx		RF Deep=5 Num=100修正.xlsx
RF Deep=5 Num=100原始.xlsx		RF Deep=5 Num=100原始.xlsx
RF Deep=50 Num=1000修正.xlsx		RF Deep=50 Num=1000修正.xlsx
RF Deep=50 Num=1000原始.xlsx		RF Deep=50 Num=1000原始.xlsx
RF Deep=50 Num=100修正.xlsx		RF Deep=50 Num=100修正.xlsx
RF Deep=50 Num=100原始.xlsx		RF Deep=50 Num=100原始.xlsx
RF Deep=50 Num=200修正.xlsx		RF Deep=50 Num=200修正.xlsx
RF Deep=50 Num=200原始.xlsx		RF Deep=50 Num=200原始.xlsx
RF Deep=50 Num=250修正.xlsx		RF Deep=50 Num=250修正.xlsx
RF Deep=50 Num=250原始.xlsx		RF Deep=50 Num=250原始.xlsx
RF Deep=50 Num=500修正.xlsx		RF Deep=50 Num=500修正.xlsx
RF Deep=50 Num=500原始.xlsx		RF Deep=50 Num=500原始.xlsx
RF Deep=50 Num=50修正.xlsx		RF Deep=50 Num=50修正.xlsx
RF Deep=50 Num=50原始.xlsx		RF Deep=50 Num=50原始.xlsx
RandomForest+Logistic Logistic 修正数据.xlsx		RandomForest+Logistic Logistic 修正数据.xlsx
RandomForest+Logistic Logistic 原始数据.xlsx		RandomForest+Logistic Logistic 原始数据.xlsx
RandomForest+Logistic RandomForest 修正数据.xlsx		RandomForest+Logistic RandomForest 修正数据.xlsx
RandomForest+Logistic RandomForest 原始数据.xlsx		RandomForest+Logistic RandomForest 原始数据.xlsx
Text.ipynb		Text.ipynb
animal-10.png		animal-10.png
animal-151.png		animal-151.png
baidu_stopwords.txt		baidu_stopwords.txt
boston.py		boston.py
butterfly.txt		butterfly.txt
dogexample.png		dogexample.png
gbt2.ipynb		gbt2.ipynb
lime all old-checkpoint.ipynb		lime all old-checkpoint.ipynb
lime all old.ipynb		lime all old.ipynb
lime all.ipynb		lime all.ipynb
lime_all7WD1.py		lime_all7WD1.py
output.txt		output.txt
以行動設計研究方法籌備組織的成立以有限責任台灣城鄉永續生活消費合作社- WU 2(1).pdf		以行動設計研究方法籌備組織的成立以有限責任台灣城鄉永續生活消費合作社- WU 2(1).pdf
原始資料DNN整合.xlsx		原始資料DNN整合.xlsx
原始資料DecisionTree整合.xlsx		原始資料DecisionTree整合.xlsx
原始資料LogisticRegression整合.xlsx		原始資料LogisticRegression整合.xlsx
原始資料SVM整合.xlsx		原始資料SVM整合.xlsx
原始资料RandomForest整合.xlsx		原始资料RandomForest整合.xlsx
情緒詞DNN整合.xlsx		情緒詞DNN整合.xlsx
情緒詞DecisionTree整合.xlsx		情緒詞DecisionTree整合.xlsx
情緒詞LogisticRegression整合.xlsx		情緒詞LogisticRegression整合.xlsx
情緒詞RandomForest整合.xlsx		情緒詞RandomForest整合.xlsx
情緒詞SVM整合.xlsx		情緒詞SVM整合.xlsx
情绪词训练.ipynb		情绪词训练.ipynb
擾動樣本解釋穩定性分析.xlsx		擾動樣本解釋穩定性分析.xlsx
文檔名内容簡介.md		文檔名内容簡介.md
文檔説明.txt		文檔説明.txt

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