From d0ad80faddce63e7836912f74414ff6af0f58db1 Mon Sep 17 00:00:00 2001 From: haotian <2421912570@qq.com> Date: Tue, 18 Feb 2025 09:49:56 +0800 Subject: [PATCH] =?UTF-8?q?=E4=BF=AE=E6=94=B9--=E4=BF=AE=E6=94=B9=E5=88=92?= =?UTF-8?q?=E5=88=86=E6=95=B0=E6=8D=AE=E9=9B=86=E5=90=8E=E8=BE=93=E5=87=BA?= =?UTF-8?q?=E6=96=87=E4=BB=B6=E7=9A=84=E4=BD=8D=E7=BD=AE?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ...ecord__breast_cancer_20250218_094848.json} | 8 +- .../test_breast_cancer_20250218_094848.csv} | 0 .../train_breast_cancer_20250218_094848.csv} | 0 .../val_breast_cancer_20250218_094848.csv} | 0 ...record__breast_cancer_20250218_094909.json | 82 ++++ .../test_breast_cancer_20250218_094909.csv | 104 +++++ .../train_breast_cancer_20250218_094909.csv | 358 ++++++++++++++++++ .../val_breast_cancer_20250218_094909.csv | 53 +++ .../data_processor_date.cpython-39.pyc | Bin 0 -> 8679 bytes function/data_processor_date.py | 8 +- function/get_all_dataset.py | 4 + 11 files changed, 610 insertions(+), 7 deletions(-) rename dataset/dataset_processed/{breast_cancer/process_record__breast_cancer_20250218_093729.json => breast_cancer_20250218_094848/process_record__breast_cancer_20250218_094848.json} (77%) rename dataset/dataset_processed/{breast_cancer/test_breast_cancer_20250218_093729.csv => breast_cancer_20250218_094848/test_breast_cancer_20250218_094848.csv} (100%) rename dataset/dataset_processed/{breast_cancer/train_breast_cancer_20250218_093729.csv => breast_cancer_20250218_094848/train_breast_cancer_20250218_094848.csv} (100%) rename dataset/dataset_processed/{breast_cancer/val_breast_cancer_20250218_093729.csv => breast_cancer_20250218_094848/val_breast_cancer_20250218_094848.csv} (100%) create mode 100644 dataset/dataset_processed/breast_cancer_20250218_094909/process_record__breast_cancer_20250218_094909.json create mode 100644 dataset/dataset_processed/breast_cancer_20250218_094909/test_breast_cancer_20250218_094909.csv create mode 100644 dataset/dataset_processed/breast_cancer_20250218_094909/train_breast_cancer_20250218_094909.csv create mode 100644 dataset/dataset_processed/breast_cancer_20250218_094909/val_breast_cancer_20250218_094909.csv create mode 100644 function/__pycache__/data_processor_date.cpython-39.pyc create mode 100644 function/get_all_dataset.py diff --git a/dataset/dataset_processed/breast_cancer/process_record__breast_cancer_20250218_093729.json b/dataset/dataset_processed/breast_cancer_20250218_094848/process_record__breast_cancer_20250218_094848.json similarity index 77% rename from dataset/dataset_processed/breast_cancer/process_record__breast_cancer_20250218_093729.json rename to dataset/dataset_processed/breast_cancer_20250218_094848/process_record__breast_cancer_20250218_094848.json index 37fa9b1..57a0aef 100644 --- a/dataset/dataset_processed/breast_cancer/process_record__breast_cancer_20250218_093729.json +++ b/dataset/dataset_processed/breast_cancer_20250218_094848/process_record__breast_cancer_20250218_094848.json @@ -1,6 +1,6 @@ { "input_file": "dataset/dataset_raw/breast_cancer.csv", - "timestamp": "2025-02-18T09:37:29.054083", + "timestamp": "2025-02-18T09:48:48.983863", "process_methods": [ { "method_name": "SimpleImputer", @@ -75,8 +75,8 @@ } ], "output_files": { - "train": "dataset/dataset_processed/breast_cancer/train_breast_cancer_20250218_093729.csv", - "validation": "dataset/dataset_processed/breast_cancer/val_breast_cancer_20250218_093729.csv", - "test": "dataset/dataset_processed/breast_cancer/test_breast_cancer_20250218_093729.csv" + "train": "dataset/dataset_processed/breast_cancer_20250218_094848/train_breast_cancer_20250218_094848.csv", + "validation": "dataset/dataset_processed/breast_cancer_20250218_094848/val_breast_cancer_20250218_094848.csv", + "test": "dataset/dataset_processed/breast_cancer_20250218_094848/test_breast_cancer_20250218_094848.csv" } } \ No newline at end of file diff --git a/dataset/dataset_processed/breast_cancer/test_breast_cancer_20250218_093729.csv b/dataset/dataset_processed/breast_cancer_20250218_094848/test_breast_cancer_20250218_094848.csv similarity index 100% rename from dataset/dataset_processed/breast_cancer/test_breast_cancer_20250218_093729.csv rename to dataset/dataset_processed/breast_cancer_20250218_094848/test_breast_cancer_20250218_094848.csv diff --git a/dataset/dataset_processed/breast_cancer/train_breast_cancer_20250218_093729.csv b/dataset/dataset_processed/breast_cancer_20250218_094848/train_breast_cancer_20250218_094848.csv similarity index 100% rename from dataset/dataset_processed/breast_cancer/train_breast_cancer_20250218_093729.csv rename to dataset/dataset_processed/breast_cancer_20250218_094848/train_breast_cancer_20250218_094848.csv diff --git a/dataset/dataset_processed/breast_cancer/val_breast_cancer_20250218_093729.csv b/dataset/dataset_processed/breast_cancer_20250218_094848/val_breast_cancer_20250218_094848.csv similarity index 100% rename from dataset/dataset_processed/breast_cancer/val_breast_cancer_20250218_093729.csv rename to dataset/dataset_processed/breast_cancer_20250218_094848/val_breast_cancer_20250218_094848.csv diff --git a/dataset/dataset_processed/breast_cancer_20250218_094909/process_record__breast_cancer_20250218_094909.json b/dataset/dataset_processed/breast_cancer_20250218_094909/process_record__breast_cancer_20250218_094909.json new file mode 100644 index 0000000..5c2663f --- /dev/null +++ b/dataset/dataset_processed/breast_cancer_20250218_094909/process_record__breast_cancer_20250218_094909.json @@ -0,0 +1,82 @@ +{ + "input_file": "dataset/dataset_raw/breast_cancer.csv", + "timestamp": "2025-02-18T09:49:09.665087", + "process_methods": [ + { + "method_name": "SimpleImputer", + "params": { + "strategy": "mean", + "missing_values": NaN + } + }, + { + "method_name": "IsolationForest", + "params": { + "contamination": 0.1, + "random_state": 42 + } + }, + { + "method_name": "StandardScaler", + "params": { + "with_mean": true, + "with_std": true + } + } + ], + "feature_methods": [], + "split_params": { + "test_size": 0.2, + "val_size": 0.1 + }, + "steps": [ + { + "step": "load_data", + "shape": [ + 569, + 31 + ] + }, + { + "step": "cleaning", + "method": "SimpleImputer", + "params": { + "strategy": "mean", + "missing_values": NaN + }, + "shape": [ + 569, + 31 + ] + }, + { + "step": "cleaning", + "method": "IsolationForest", + "params": { + "contamination": 0.1, + "random_state": 42 + }, + "shape": [ + 512, + 31 + ] + }, + { + "step": "cleaning", + "method": "StandardScaler", + "params": { + "with_mean": true, + "with_std": true + }, + "shape": [ + 512, + 31 + ] + } + ], + "output_files": { + "train": 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input_path.split("/")[-1].split(".")[0] + # 生成时间戳 + timestamp = datetime.datetime.now().strftime('%Y%m%d_%H%M%S') + # 创建输出目录 - output_path = Path(output_dir+'/'+file_name) + output_path = Path(output_dir+'/'+file_name+'_'+timestamp) output_path.mkdir(parents=True, exist_ok=True) # 记录处理过程 @@ -158,8 +161,7 @@ class DataProcessor: val_size=split_params.get('val_size', 0.2) ) - # 生成时间戳 - timestamp = datetime.datetime.now().strftime('%Y%m%d_%H%M%S') + # 保存处理后的数据集 train_path = output_path / f'train_{file_name}_{timestamp}.csv' diff --git a/function/get_all_dataset.py b/function/get_all_dataset.py new file mode 100644 index 0000000..90abab9 --- /dev/null +++ b/function/get_all_dataset.py @@ -0,0 +1,4 @@ +import json + +# 查询可用数据集, 处理过后的数据集默认在 dataset/dataset_processed/ 下 +# 各个文件夹下的json文件记录了处理数据 \ No newline at end of file