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config.py
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config.py
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inputs = {
"target": "CRC",
"calculate_interval": False,
"n_random_trials": 10,
}
structure = {
"black_list" : [
('Age', 'Sex'),
('BMI', 'Sex'),
('PA', 'Sex'),
('Alcohol', 'Sex'),
('Smoking', 'Sex'),
('SD', 'Sex'),
('Diabetes', 'Sex'),
('Hypertension', 'Sex'),
('Hyperchol.', 'Sex'),
('Depression', 'Sex'),
('Anxiety', 'Sex'),
('CRC', 'Sex'),
('SES', 'Sex'),
('Sex', 'Age'),
('BMI', 'Age'),
('PA', 'Age'),
('Alcohol', 'Age'),
('Smoking', 'Age'),
('SD', 'Age'),
('Diabetes', 'Age'),
('Hypertension', 'Age'),
('Hyperchol.', 'Age'),
('Depression', 'Age'),
('Anxiety', 'Age'),
('CRC', 'Age'),
('SES', 'Age'),
('BMI', 'SES'),
('PA', 'SES'),
('Alcohol', 'SES'),
('Smoking', 'SES'),
('SD', 'SES'),
('Diabetes', 'SES'),
('Hypertension', 'SES'),
('Hyperchol.', 'SES'),
('Depression', 'SES'),
('Anxiety', 'SES'),
('CRC', 'SES'),
],
"fixed_edges" : [
('Sex', 'Anxiety'),
('Sex', 'Depression'),
('Sex', 'CRC'),
('Age', 'CRC'),
('Age', 'Diabetes'),
('Age', 'SD'),
('Age', 'Smoking'),
('Age', 'Hypertension'),
('Age', 'BMI'),
('BMI', 'Diabetes'),
('BMI', 'Hyperchol.'),
('BMI', 'Hypertension'),
('Alcohol', 'CRC'),
('Alcohol', 'Hypertension'),
('Alcohol', 'Hyperchol.'),
('Smoking', 'CRC'),
('Smoking', 'Hyperchol.'),
('Smoking', 'Hypertension'),
('PA', 'Diabetes'),
('PA', 'Hyperchol.'),
('PA', 'Hypertension'),
('PA', 'BMI'),
('Diabetes', 'CRC'),
('Diabetes', 'Hypertension'),
('Hypertension', 'CRC'),
('Hyperchol.', 'CRC'),
('SD', 'PA'),
('SD', 'Anxiety'),
('Anxiety', 'Hypertension'),
('SES', 'PA'),
]
}
node_color = {'Age': 0.3,
'Sex': 0.3,
'BMI': 0.1,
'Alcohol': 0.1,
'Smoking': 0.1,
'PA': 0.1,
'Depression': 0.1,
'Anxiety': 0.1,
'Diabetes': 0.2,
'Hypertension': 0.2,
'Hyperchol.': 0.2,
'SD': 0.1,
'SES': 0.3,
'CRC': 0.4}
pointwise_risk_mapping = {
"col_var": "Age",
"row_var": "BMI"
}
interval_risk_mapping = {
"col_var": "Age",
"row_var": "BMI"
}
interval_path = {'path': "prueba22nov/"}