IFilter interface

This article describes IFilter, which is the interface for working with digital signal filters in Azure Machine Learning Studio.


Applies to: Machine Learning Studio

This content pertains only to Studio. Similar drag and drop modules have been added to the visual interface in Machine Learning service. Learn more in this article comparing the two versions.

The IFilter interface provides methods and properties that are used to configure and interact with digital signal filters that have been defined using one of the filter modules in Studio. For more information, see Filter.

You use the IFilter interface to save a filter or apply a predefined filter to data.

  • Specify a filter to use: its type, coefficients, etc.
  • Apply the filter to input data
  • Generate a DataTable of data with filter results

You can interact with IFilter only in Studio, or in one of the supported APIs.

See also

Module parameter types
Module data types