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easyans / XAI-Enhanced-MRI-Analysis-for-Alzheimer-s-Disease-Prediction

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Lime Algo #2

Open easyans opened 7 months ago

easyans commented 7 months ago

`# %% Imports from utils import DataLoader from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import f1_score, accuracy_score from interpret.blackbox import LimeTabular from interpret import show from lime.lime_tabular import LimeTabularExplainer

%% Load and preprocess data

data_loader = DataLoader() data_loader.load_dataset() data_loader.preprocess_data()

Split the data for evaluation

X_train, X_test, y_train, y_test = data_loader.get_data_split()

Oversample the train data

X_train, y_train = data_loader.oversample(X_train, y_train) print(X_train.shape) print(X_test.shape)

%% Fit blackbox model

rf = RandomForestClassifier() rf.fit(X_train, y_train) y_pred = rf.predict(X_test) print(f"F1 Score {f1_score(y_test, y_pred, average='macro')}") print(f"Accuracy {accuracy_score(y_test, y_pred)}")

%% Apply lime

Initilize Lime for Tabular data

%% Apply lime

Initialize Lime for Tabular data

lime = LimeTabular(model=rf, # Add the model argument here data=X_train.astype(float).fillna(0), # Convert the data to float type and fill NaN values with 0 random_state=1)

Get local explanations

lime_local = lime.explain_local(X_test.astype(float).fillna(0)[-20:], # Convert the data to float type and fill NaN values with 0 y_test[-20:], name='LIME')

show(lime_local)

%%

`

easyans commented 7 months ago 
ModuleNotFoundError                       Traceback (most recent call last)
File [c:\Users\AAkash\Desktop\acuda\Explainable-AI-for-Early-Detection-and-Severity-Assessment-of-Alzheimer-s-Disease\lime.py:7](file:///C:/Users/AAkash/Desktop/acuda/Explainable-AI-for-Early-Detection-and-Severity-Assessment-of-Alzheimer-s-Disease/lime.py:7)
      [5](file:///C:/Users/AAkash/Desktop/acuda/Explainable-AI-for-Early-Detection-and-Severity-Assessment-of-Alzheimer-s-Disease/lime.py:5) from interpret.blackbox import LimeTabular
      [6](file:///C:/Users/AAkash/Desktop/acuda/Explainable-AI-for-Early-Detection-and-Severity-Assessment-of-Alzheimer-s-Disease/lime.py:6) from interpret import show
----> [7](file:///C:/Users/AAkash/Desktop/acuda/Explainable-AI-for-Early-Detection-and-Severity-Assessment-of-Alzheimer-s-Disease/lime.py:7) from lime.lime_tabular import LimeTabularExplainer

File [c:\Users\AAkash\Desktop\acuda\Explainable-AI-for-Early-Detection-and-Severity-Assessment-of-Alzheimer-s-Disease\lime.py:7](file:///C:/Users/AAkash/Desktop/acuda/Explainable-AI-for-Early-Detection-and-Severity-Assessment-of-Alzheimer-s-Disease/lime.py:7)
      [5](file:///C:/Users/AAkash/Desktop/acuda/Explainable-AI-for-Early-Detection-and-Severity-Assessment-of-Alzheimer-s-Disease/lime.py:5) from interpret.blackbox import LimeTabular
      [6](file:///C:/Users/AAkash/Desktop/acuda/Explainable-AI-for-Early-Detection-and-Severity-Assessment-of-Alzheimer-s-Disease/lime.py:6) from interpret import show
----> [7](file:///C:/Users/AAkash/Desktop/acuda/Explainable-AI-for-Early-Detection-and-Severity-Assessment-of-Alzheimer-s-Disease/lime.py:7) from lime.lime_tabular import LimeTabularExplainer
      [9](file:///C:/Users/AAkash/Desktop/acuda/Explainable-AI-for-Early-Detection-and-Severity-Assessment-of-Alzheimer-s-Disease/lime.py:9) # %% Load and preprocess data
     [10](file:///C:/Users/AAkash/Desktop/acuda/Explainable-AI-for-Early-Detection-and-Severity-Assessment-of-Alzheimer-s-Disease/lime.py:10) data_loader = DataLoader()

ModuleNotFoundError: No module named 'lime.lime_tabular'; 'lime' is not a package

Error at line 1 at lime.py file