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[FEAT] Feat Include Undamaged Node Classification #98

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nuluh merged 15 commits from feat/53-feat-include-undamaged-node-classification into dev 2025-06-18 02:06:04 +00:00
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1 changed files with 34 additions and 14 deletions
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48
data/QUGS/test.py
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@@ -1,25 +1,45 @@
from convert import *
from joblib import dump, load
# b = generate_damage_files_index(
# num_damage=6,
# file_index_start=1,
# col=5,
# base_path="D:/thesis/data/dataset_B",
# prefix="zzzBD",
# # undamage_file="zzzBU.TXT"
# )
# Example: Generate tuples with a special group of df0 at the beginning
special_groups_A = [
{'df_name': 'zzzAU.TXT', 'position': 0, 'size': 5} # Add at beginning
]
special_groups_B = [
{'df_name': 'zzzBU.TXT', 'position': 0, 'size': 5} # Add at beginning
]
# Generate the tuples with the special group
# a = generate_df_tuples(special_groups=special_groups_A)
b = generate_df_tuples(special_groups=special_groups_B, prefix="zzzBD")
# a = generate_damage_files_index(
# num_damage=6, file_index_start=1, col=5, base_path="D:/thesis/data/dataset_A"
# num_damage=6,
# file_index_start=1,
# col=5,
# base_path="D:/thesis/data/dataset_A",
# prefix="zzzAD",
# # undamage_file="zzzBU.TXT"
# )
b = generate_damage_files_index(
num_damage=6,
file_index_start=1,
col=5,
base_path="D:/thesis/data/dataset_B",
prefix="zzzBD",
)
# data_A = DataProcessor(file_index=a)
# # data.create_vector_column(overwrite=True)
# data_A.create_limited_sensor_vector_column(overwrite=True)
# data_A = DataProcessor(file_index=a, base_path="D:/thesis/data/dataset_A", include_time=True)
# data_A.create_vector_column(overwrite=True)
# # data_A.create_limited_sensor_vector_column(overwrite=True)
# data_A.export_to_csv("D:/thesis/data/converted/raw")
data_B = DataProcessor(file_index=b)
# data.create_vector_column(overwrite=True)
data_B.create_limited_sensor_vector_column(overwrite=True)
data_B = DataProcessor(file_index=b, base_path="D:/thesis/data/dataset_B", include_time=True)
# data_B.create_vector_column(overwrite=True)
# # data_B.create_limited_sensor_vector_column(overwrite=True)
data_B.export_to_csv("D:/thesis/data/converted/raw_B")
# a = load("D:/cache.joblib")
# breakpoint()