MLflow 模型写入模块
此模块将训练好的模型上传到 MLflow 服务器。
参数 |
类型 |
描述 |
示例值 |
默认值 |
---|---|---|---|---|
conda_env |
字符串 | 模型的 Conda 环境 | "path/to/conda_env.yml" |
[必需] |
databricks_permissions |
字典 | 模型的权限 | 请参考下方 | 无 |
experiment_name_formatter |
字符串 | 实验名称的格式化器 | "experiment_name_{timestamp}" |
[必需] |
model_name_formatter |
字符串 | 模型名称的格式化器 | "model_name_{timestamp}" |
[必需] |
timestamp_column_name |
字符串 | 时间戳列的名称 | "timestamp" |
timestamp |
键 |
类型 |
描述 |
示例值 |
默认值 |
---|---|---|---|---|
read |
数组 | 具有读取权限的用户列表 | ["read_user1", "read_user2"] |
- |
write |
数组 | 具有写入权限的用户列表 | ["write_user1", "write_user2"] |
- |
{
"model_name_formatter": "model_name_{timestamp}",
"experiment_name_formatter": "experiment_name_{timestamp}",
"conda_env": "path/to/conda_env.yml",
"timestamp_column_name": "timestamp",
"databricks_permissions": {
"read": ["read_user1", "read_user2"],
"write": ["write_user1", "write_user2"]
}
}