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Merge pull request #18 from nuluh/feature/15-normalize-dataset-by-preprocess-relatives-value-between-two-acceloremeter-sensors

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Feature/15 normalize dataset by preprocess relatives value between two acceloremeter sensors
This commit was merged in pull request #18.
This commit is contained in:
Panuluh
2024-09-03 08:43:44 +07:00
committed by GitHub
parent 8a499a04fb 41086e95ad
commit 9da3dae709
3 changed files with 522 additions and 1065 deletions
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2
.gitignore vendored
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@@ -1,4 +1,4 @@
# Ignore CSV files in the data directory and all its subdirectories
data/**/*.csv
.venv/
*.pyc

1538
code/notebooks/03_feature_extraction.ipynb
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File diff suppressed because one or more lines are too long

5
generate_dummy_data.py
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@@ -16,8 +16,10 @@ os.makedirs(processed_path, exist_ok=True)
# Define the number of zeros to pad
num_damages = 5
num_tests = 10
num_sensors = 2
damage_pad = len(str(num_damages))
test_pad = len(str(num_tests))
sensor_pad = len(str(num_sensors))
for damage in range(1, num_damages + 1): # 5 Damage levels starts from 1
damage_folder = f"DAMAGE_{damage:0{damage_pad}}"
@@ -25,8 +27,9 @@ for damage in range(1, num_damages + 1): # 5 Damage levels starts from 1
os.makedirs(damage_path, exist_ok=True)
for test in range(1, 11): # 10 Tests per damage level
for sensor in range(1, 3): # 2 Sensors per test
# Filename for the CSV
csv_filename = f"D{damage:0{damage_pad}}_TEST{test:0{test_pad}}.csv"
csv_filename = f"D{damage:0{damage_pad}}_TEST{test:0{test_pad}}_{sensor:0{sensor_pad}}.csv"
csv_path = os.path.join(damage_path, csv_filename)
# Generate dummy data