time-series - Azure ML 错误：TimeSeriesImputer 对象没有属性“_known_df”

Question

运行这个橙汁销售笔记本，我的方法出现以下错误.forecast()。

代码

# The featurized data, aligned to y, will also be returned.
# This contains the assumptions that were made in the forecast
# and helps align the forecast to the original data
y_predictions, X_trans = fitted_model.forecast(X_test)

错误（完整堆栈跟踪）：

**AttributeError: 'TimeSeriesImputer' object has no attribute '_known_df'**

Answer 1

这通常通过升级到最新的 SDK 来解决。你可以通过运行来做到这一点pip install --upgrade azureml-sdk[explain,automl]。

谢谢，萨宾娜