make link relative

Author: EricWrightAtWork

articles/machine-learning/how-to-auto-train-forecast.md

@@ -312,7 +312,7 @@ mse = mean_squared_error(
     rolling_forecast_df[fitted_model.actual_column_name], rolling_forecast_df[fitted_model.forecast_column_name])
 ```
 
-In the above sample, the step size for the rolling forecast is set to 1 which means that the forecaster is advanced 1 period, or 1 day in our demand prediction example, at each iteration. The total number of forecasts returned by `rolling_forecast` thus depends on the length of the test set and this step size. For more details and examples see the [rolling_forecast API documentation](https://learn.microsoft.com/python/api/azureml-training-tabular/azureml.training.tabular.models.forecasting_pipeline_wrapper_base.forecastingpipelinewrapperbase#azureml-training-tabular-models-forecasting-pipeline-wrapper-base-forecastingpipelinewrapperbase-rolling-forecast) and the [Forecasting away from training data notebook](https://github.com/Azure/azureml-examples/blob/main/v1/python-sdk/tutorials/automl-with-azureml/forecasting-forecast-function/auto-ml-forecasting-function.ipynb). 
+In the above sample, the step size for the rolling forecast is set to 1 which means that the forecaster is advanced 1 period, or 1 day in our demand prediction example, at each iteration. The total number of forecasts returned by `rolling_forecast` thus depends on the length of the test set and this step size. For more details and examples see the [rolling_forecast() documentation](/python/api/azureml-training-tabular/azureml.training.tabular.models.forecasting_pipeline_wrapper_base.forecastingpipelinewrapperbase#azureml-training-tabular-models-forecasting-pipeline-wrapper-base-forecastingpipelinewrapperbase-rolling-forecast) and the [Forecasting away from training data notebook](https://github.com/Azure/azureml-examples/blob/main/v1/python-sdk/tutorials/automl-with-azureml/forecasting-forecast-function/auto-ml-forecasting-function.ipynb). 
 
 ### Prediction into the future