Support for Machine Learning Studio (classic) will end on 31 August 2024. We recommend you transition to Azure Machine Learning by that date.
Beginning 1 December 2021, you will not be able to create new Machine Learning Studio (classic) resources. Through 31 August 2024, you can continue to use the existing Machine Learning Studio (classic) resources.
- See information on moving machine learning projects from ML Studio (classic) to Azure Machine Learning.
- Learn more about Azure Machine Learning.
ML Studio (classic) documentation is being retired and may not be updated in the future.
This article describes
iLearner, which is the interface for trained models that is used in Machine Learning Studio (classic).
Applies to: Machine Learning Studio (classic) only
Similar drag-and-drop modules are available in Azure Machine Learning designer.
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.
You can interact with
iLearner only in Studio (classic), or in one of the supported APIs.
Studio (classic) uses this interface for the following functionality:
- Determines whether a model has the correct format.
- 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.
For a list of learners provided by Machine Learning Studio (classic), see Initialize Model.
The ICluster interface is also available, for clustering models only.