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input_data_path: "./data/raw/heart_cleveland_upload.csv" | ||
output_model_path: "./models/model_gb.pkl" | ||
splitting_params: | ||
val_size: 0.3 | ||
random_state: 42 | ||
model_params: | ||
model: "GB" | ||
n_estimators: 25 | ||
random_state: 42 | ||
feature_params: | ||
categorical_features: | ||
- 'sex' | ||
- 'cp' | ||
- 'fbs' | ||
- 'restecg' | ||
- 'exang' | ||
- 'slope' | ||
- 'ca' | ||
- 'thal' | ||
numerical_features: | ||
- 'age' | ||
- 'trestbps' | ||
- 'chol' | ||
- 'thalach' | ||
- 'oldpeak' | ||
features_to_drop: | ||
target: 'condition' |
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@@ -0,0 +1,27 @@ | ||
input_data_path: "./data/raw/heart_cleveland_upload.csv" | ||
output_model_path: "./models/model_rf.pkl" | ||
splitting_params: | ||
val_size: 0.2 | ||
random_state: 42 | ||
model_params: | ||
model: "RF" | ||
n_estimators: 100 | ||
random_state: 42 | ||
feature_params: | ||
categorical_features: | ||
- 'sex' | ||
- 'cp' | ||
- 'fbs' | ||
- 'restecg' | ||
- 'exang' | ||
- 'slope' | ||
- 'ca' | ||
- 'thal' | ||
numerical_features: | ||
- 'age' | ||
- 'trestbps' | ||
- 'chol' | ||
- 'thalach' | ||
- 'oldpeak' | ||
features_to_drop: | ||
target: 'condition' |
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@@ -0,0 +1,298 @@ | ||
age,sex,cp,trestbps,chol,fbs,restecg,thalach,exang,oldpeak,slope,ca,thal,condition | ||
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57,1,3,150,276,0,2,112,1,0.6,1,1,1,1 | ||
57,1,3,165,289,1,2,124,0,1,1,3,2,1 | ||
57,1,3,152,274,0,0,88,1,1.2,1,1,2,1 | ||
57,1,3,110,201,0,0,126,1,1.5,1,0,1,0 | ||
57,1,3,110,335,0,0,143,1,3,1,1,2,1 | ||
57,0,3,140,241,0,0,123,1,0.2,1,0,2,1 | ||
57,1,3,130,131,0,0,115,1,1.2,1,1,2,1 | ||
57,0,3,120,354,0,0,163,1,0.6,0,0,0,0 | ||
57,0,3,128,303,0,2,159,0,0,0,1,0,0 | ||
57,1,3,132,207,0,0,168,1,0,0,0,2,0 | ||
56,0,3,200,288,1,2,133,1,4,2,2,2,1 | ||
56,1,3,130,283,1,2,103,1,1.6,2,0,2,1 | ||
56,1,3,125,249,1,2,144,1,1.2,1,1,0,1 | ||
56,1,3,132,184,0,2,105,1,2.1,1,1,1,1 | ||
56,0,3,134,409,0,2,150,1,1.9,1,2,2,1 | ||
55,1,3,140,217,0,0,111,1,5.6,2,0,2,1 | ||
55,1,3,132,353,0,0,132,1,1.2,1,1,2,1 | ||
55,1,3,160,289,0,2,145,1,0.8,1,1,2,1 | ||
55,0,3,180,327,0,1,117,1,3.4,1,0,0,1 | ||
55,0,3,128,205,0,1,130,1,2,1,1,2,1 | ||
54,1,3,124,266,0,2,109,1,2.2,1,1,2,1 | ||
54,1,3,120,188,0,0,113,0,1.4,1,1,2,1 | ||
54,1,3,110,239,0,0,126,1,2.8,1,1,2,1 | ||
54,1,3,110,206,0,2,108,1,0,1,1,0,1 | ||
54,1,3,122,286,0,2,116,1,3.2,1,2,0,1 | ||
54,1,3,140,239,0,0,160,0,1.2,0,0,0,0 | ||
53,1,3,140,203,1,2,155,1,3.1,2,0,2,1 | ||
53,0,3,130,264,0,2,143,0,0.4,1,0,0,0 | ||
53,1,3,123,282,0,0,95,1,2,1,2,2,1 | ||
53,0,3,138,234,0,2,160,0,0,0,0,0,0 | ||
53,1,3,142,226,0,2,111,1,0,0,0,2,0 | ||
52,1,3,128,255,0,0,161,1,0,0,1,2,1 | ||
52,1,3,108,233,1,0,147,0,0.1,0,3,2,0 | ||
52,1,3,112,230,0,0,160,0,0,0,1,0,1 | ||
52,1,3,125,212,0,0,168,0,1,0,2,2,1 | ||
51,0,3,130,305,0,0,142,1,1.2,1,0,2,1 | ||
51,1,3,140,298,0,0,122,1,4.2,1,3,2,1 | ||
51,1,3,140,261,0,2,186,1,0,0,0,0,0 | ||
51,1,3,140,299,0,0,173,1,1.6,0,0,2,1 | ||
50,1,3,150,243,0,2,128,0,2.6,1,0,2,1 | ||
50,1,3,144,200,0,2,126,1,0.9,1,0,2,1 | ||
50,0,3,110,254,0,2,159,0,0,0,0,0,0 | ||
49,0,3,130,269,0,0,163,0,0,0,0,0,0 | ||
48,1,3,124,274,0,2,166,0,0.5,1,0,2,1 | ||
48,1,3,122,222,0,2,186,0,0,0,0,0,0 | ||
48,1,3,130,256,1,2,150,1,0,0,2,2,1 | ||
47,1,3,110,275,0,2,118,1,1,1,1,0,1 | ||
47,1,3,112,204,0,0,143,0,0.1,0,0,0,0 | ||
46,0,3,138,243,0,2,152,1,0,1,0,0,0 | ||
46,1,3,140,311,0,0,120,1,1.8,1,2,2,1 | ||
46,1,3,120,249,0,2,144,0,0.8,0,0,2,1 | ||
45,1,3,104,208,0,2,148,1,3,1,0,0,0 | ||
45,0,3,138,236,0,2,152,1,0.2,1,0,0,0 | ||
45,1,3,142,309,0,2,147,1,0,1,3,2,1 | ||
45,1,3,115,260,0,2,185,0,0,0,0,0,0 | ||
44,1,3,120,169,0,0,144,1,2.8,2,0,1,1 | ||
44,1,3,112,290,0,2,153,0,0,0,1,0,1 | ||
44,1,3,110,197,0,2,177,0,0,0,1,0,1 | ||
43,1,3,120,177,0,2,120,1,2.5,1,0,2,1 | ||
43,0,3,132,341,1,2,136,1,3,1,0,2,1 | ||
43,1,3,115,303,0,0,181,0,1.2,1,0,0,0 | ||
43,1,3,150,247,0,0,171,0,1.5,0,0,0,0 | ||
43,1,3,110,211,0,0,161,0,0,0,0,2,0 | ||
42,0,3,102,265,0,2,122,0,0.6,1,0,0,0 | ||
42,1,3,136,315,0,0,125,1,1.8,1,0,1,1 | ||
42,1,3,140,226,0,0,178,0,0,0,0,0,0 | ||
41,1,3,110,172,0,2,158,0,0,0,0,2,1 | ||
40,1,3,110,167,0,2,114,1,2,1,0,2,1 | ||
40,1,3,152,223,0,0,181,0,0,0,0,2,1 | ||
39,1,3,118,219,0,0,140,0,1.2,1,0,2,1 | ||
35,1,3,120,198,0,0,130,1,1.6,1,0,2,1 | ||
35,0,3,138,183,0,0,182,0,1.4,0,0,0,0 | ||
35,1,3,126,282,0,2,156,1,0,0,0,2,1 |
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import unittest | ||
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from src.data.make_dataset import read_data, train_val_split | ||
from src.enities.splitting_params import SplittingParams | ||
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class MakeDatasetTest(unittest.TestCase): | ||
def setUp(self) -> None: | ||
self.dataset_path = "./tests/test_data/synthetic_data.csv" | ||
self.target = "condition" | ||
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def test_load_dataset(self): | ||
data = read_data(self.dataset_path) | ||
self.assertEqual(data.shape, (50, 15)) | ||
assert self.target in data.keys() | ||
|
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def test_split_dataset(self): | ||
val_size = 0.2 | ||
splitting_params = SplittingParams(random_state=42, val_size=val_size) | ||
data = read_data(self.dataset_path) | ||
train, val = train_val_split(data, splitting_params) | ||
self.assertEqual(train.shape, (data.shape[0] * (1 - val_size), 15)) | ||
self.assertEqual(val.shape, (data.shape[0] * val_size, 15)) | ||
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||
|
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if __name__ == '__main__': | ||
unittest.main() |
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