Azure / Azure/MachineLearningNotebooks
The previous code now fails to infer test.
- 主要語言
- Jupyter Notebook
- 星號
- 4.4k
- 分支
- 2.6k
- PR 合併指標
- 30 天內沒有已合併 PR
描述
- The error is below.What are the causes and solution?
> AzureMLException: AzureMLException:
Message: Input prediction data X_pred or input forecast_destination contains dates later than the forecast horizon. Please shorten the prediction data so that it is within the forecast horizon or adjust the forecast_destination date.
InnerException None
ErrorResponse
{
"error": {
"code": "UserError",
"message": "Input prediction data X_pred or input forecast_destination contains dates later than the forecast horizon. Please shorten the prediction data so that it is within the forecast horizon or adjust the forecast_destination date.",
"target": "horizon",
"inner_error": {
"code": "BadData",
"inner_error": {
"code": "ForecastHorizonExceeded"
}
}
}
}
- python version is 3.8.
- The tutorial is below
https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/forecasting-forecast-function/auto-ml-forecasting-function.ipynb
貢獻指南
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研究方向
從連結的教學課程 auto-ml-forecasting-function.ipynb 開始,檢查 X_pred、forecast_destination 和預測時域的設定方式。如果可能,請在 Python 3.8 下重現此故障,然後確認該教學課程是否能夠成功執行,或是否清楚記錄了所需的預測日期限制。
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- azure, jupyter-notebook, python
- 領域
- cloud, machine-learning
- Issue 類型
- 缺陷
- 難度
- 4/5
- 預估耗時
- 3-5 天
- 活躍度
- 停滯
- 描述清晰度
- 需要釐清
- 新手友好度
- 25/100