vatsaldin
/ explainable_AI_disease_diagnosis.py
Last active
January 1, 2021 03:34
surrogate model plot
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| surrogate_model.plot() |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| surrogate_model = explainer.model_surrogate(max_vars=6, max_depth=3) | |
| surrogate_model.performance |
vatsaldin
/ explainable_AI_disease_diagnosis.py
Last active
January 1, 2021 03:47
plot a group of variables plot
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| explainer.model_profile().plot(variables=['TT4', 'FTI', 'TSH', 'T3']) |
vatsaldin
/ explainable_AI_disease_diagnosis.py
Last active
January 1, 2021 03:48
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| pd_rf = explainer.model_profile() | |
| pd_rf.result |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| explainer.model_parts(type='shap_wrapper').plot() |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| explainer.model_performance() |
vatsaldin
/ explainable_AI_disease_diagnosis.py
Last active
January 1, 2021 03:49
model_parts().plot()
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| explainer.model_parts().plot() |
vatsaldin
/ explainable_AI_disease_diagnosis.py
Last active
January 1, 2021 03:48
create explainer object
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| explainer = dx.Explainer(model, X_train_df, Y_train_df, label='Hyporthyroidism') |
vatsaldin
/ explainable_AI_disease_diagnosis.py
Last active
January 1, 2021 03:48
Load saved pre-trained model
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| from keras.models import load_model | |
| model = load_model('models/saved_model.h5') |
vatsaldin
/ explainable_AI_disease_diagnosis.py
Last active
January 1, 2021 03:52
Load and pre-process data
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # Load dataset from csv using pandas | |
| dataset = pd.read_csv('data/hypothyroid.csv') | |
| dataset.head() | |
| # Renaming the first column as target | |
| dataset = dataset.rename(columns = {dataset.columns[0]:"target"}) | |
| dataset["target"] = dataset["target"].map({"negative":0,"hypothyroid":1}) | |
| # Replacing the categorical values into binary values | |
| dataset = dataset.replace({'f':0,'t':1, 'y':1, 'n':0, 'M':0, 'F':1}) |
NewerOlder