Could not find a model with valid score for metric

I use the AzureML to create forecast with normalized_mean_absolute_errormetric , i try to change it to normalized_mean_absolute_error and r2_score but it will give error that say "Could not find a model with valid score for metric" Why can it happen ?

application.py runForecasting 50 2022-04-19 18:04
MainThread ERROR AutoMLException:

Message: Could not find a model with valid score for metric 'normalized_mean_absolute_error'. Please ensure that at least one run was successfully completed with a valid score for the given metric.
InnerException: None
ErrorResponse
{
"error": {
"code": "UserError",
"message": "Could not find a model with valid score for metric 'normalized_mean_absolute_error'. Please ensure that at least one run was successfully completed with a valid score for the given metric.",
"target": "metric",
"inner_error": {
"code": "NotFound",
"inner_error": {
"code": "ModelMissing"
}
}
}
}

從 application.py 中的 runForecasting 開始，接著檢查 AzureML forecasting 設定，以及錯誤所參照的已完成執行。比較要求的指標名稱與這些執行所產生的指標，並判斷為什麼沒有任何指標具有有效分數。當原因可重現，且指標設定或使用方式有文件化的解決方案時，即視為完成。

由索引模型根據 Issue 內容生成。