ILearner interface
Updated: June 9, 2015
ILearner interface
The ILearner interface provides methods and properties that are used to configure and interact with machine learning models. A learner is defined as a set of instructions that perform standardized machine learning tasks. Learners include classification algorithms, clustering algorithms, and regression algorithms.
For a list of learners provided by Azure Machine Learning, see Machine Learning / Initialize Model.
This interface encapsulates the following functionality:
Gets the capabilities of the learner. These are any general properties of the learner that are not captured by the type signature of the specific learner.
Gets or sets the settings of the learner. The settings are unique to each learner and must be configured once before any query methods can be called on the learner.
Reference Machine Learning Studio types
Type | Description |
|---|---|
ICluster interface |