Azure Auto ML forecasting - dependent variables

Rajeshkumar Mourya 6 Reputation points

Hi, I am trying to use Azure auto ML for forecasting. The dataset has a date_time column, a target variable and other columns that affect the target variable. I have deployed the model as a web service. But I am finding it hard to use the service/model for forecasting future frames. Let's say I need to forecast for the next 4 hours (data frequency is 5 minutes), but the model is asking for other column inputs as well. Can you please help me to resolve this?

Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
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  1. Ramr-msft 16,216 Reputation points

    @Rajeshkumar Mourya Thanks for the question. Can you please add more details about the use case that you are trying. Here is the docs/samples for Automated ML forecasting enables businesses to forecast revenue, inventory, sales, or customer demand. Customers can run Automated ML experiments by using a no-code UI experience or a code-first Python SDK experience and sample Jupyter Notebooks depending on their expertise.