Data Types

Question 1

Data Table

Answer 1

The DataTable interface defines the structure of all datasets used in Azure Machine Learning.

Question 2

ICluster interface

Answer 2

The ICluster interface defines the structure of clustering models.

Question 3

IFilter interface

Answer 3

The IFilter interface defines the structure of digital signal processing filters applied to an entire series of numerical values. Filters can be created and then saved and applied to a new series.

Question 4

ILearner interface

Answer 4

The ILearner interface provides a generic structure for defining and saving analytical models, excluding some special types such as clustering models.

Question 5

ITransform interface

Answer 5

The ITransform interface provides a generic structure for defining and saving transformations. You can create an iTransform using Machine Learning Studio (classic) and then apply the transformation to new datasets.