# 运行说明

## 1. 启动mlflow
    - mlflow server --host 10.0.0.202 --port 5000
    - 这里host要和config/config.yaml中配置的host一致, 不然连接不上
## 2. 运行 main.py
    - python main.py
    - 运行ip和端口在config/config.yaml中配置
    - 当前python环境名为trt
    - 在ip:port/docs可以看到可视化接口文档
## 3. 安装python环境
    - 使用conda创建一个新的python环境
    - pip 换源 清华源
        -- pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
    - pip install -r requirements.txt



## 4. 测试接口
注: 10.0.0.202为当前本机ip

GET http://10.0.0.202:8992/health

### 4.1 获取数据预处理方法列表
GET http://10.0.0.202:8992/data/preprocessing/methods

### 4.2 获取预处理方法详情

GET http://10.0.0.202:8992/data/preprocessing/method/{method_name}

### 4.3 获取特征工程方法列表
GET http://10.0.0.202:8992/data/feature/methods

### 4.4 获取特征工程方法详情

GET http://10.0.0.202:8992/data/feature/method/{method_name}

### 4.5 处理数据集
POST http://10.0.0.202:8992/data/process

传递参数
    {
        "input_path": "dataset/dataset_raw/breast_cancer.csv",
        "output_dir": "dataset/dataset_processed",
        "process_methods": [
            {
                "method_name": "IsolationForest",
                "params": {
                    "contamination": 0.1,
                    "random_state": 42
                }
            }
        ],
        "feature_methods": [
            
        ],
        "split_params": {
            "test_size": 0.1,
            "val_size": 0.2
        }
    }

### 4.6 获取可用数据集列表
GET http://10.0.0.202:8992/data/datasets

### 4.7 获取可用模型列表
GET http://10.0.0.202:8992/model/available

### 4.8 获取模型详情
GET http://10.0.0.202:8992/model/available/{model_name}

### 4.9 获取评价指标列表
GET http://10.0.0.202:8992/model/metrics

### 4.10 模型训练
POST http://10.0.0.202:8992/model/train

{
  "train_path": "/home/admin-root/haotian/MLPlatform/dataset/dataset_processed/breast_cancer_20250224_170615/train_breast_cancer_20250224_170615.csv",
  "val_path": "/home/admin-root/haotian/MLPlatform/dataset/dataset_processed/breast_cancer_20250224_170615/val_breast_cancer_20250224_170615.csv",
  "algorithm": "XGBClassifier",
  "task_type": "classification",
  "parameters": {
        "n_estimators": 100,
        "learning_rate": 0.1,
        "max_depth": 6,
        "random_state": 42
  },
  "experiment_name": "test_post_1"
}

### 4.11 获取实验列表
GET http://10.0.0.202:8992/model/experiments

### 4.12 获取具体实验内容
GET http://10.0.0.202:8992/model/experiment/{experiment_name}

### 4.13 删除模型指定实验模型
DELETE 

### 4.14 模型预测
POST http://10.0.0.202:8992/model/predict
    {
    "run_id": "33939ea6d8ce4d43a268f23f7361651e",
    "data_path": "/home/admin-root/haotian/MLPlatform/dataset/dataset_processed/breast_cancer_20250219_145614/test_breast_cancer_20250219_145614.csv",
    "output_path": "predictions/pred_breast_cancer_20250219_145614.csv",
    "return_proba": true,
    "metrics": [
        "accuracy", "f1", "precision", "recall"
    ]
    }

### 4.15 查看系统资源使用情况
GET http://10.0.0.202:8992/system/resources

### 4.16 查看训练历史
GET http://10.0.0.202:8992/system/history

### 4.17 查看系统训练日志
GET http://10.0.0.202:8992/system/logs

## 5. 前端界面
    - 暂未完成