Some new modules have recently been introduced in Azure Machine Learning, thus extending its features.
Execute Python Script
It is a module for running scripts in Python 2.7.7.
The module is configured via a script editor which contains an example of the steps required to interact with ML.
Two specific models have been introduced for anomaly detection: 1) One class support vector machine; 2) PCA-based anomaly detection.
Create R Model
In addition to the Execute R script modules we can now find the “Create R Model” which allows the creation of an ML model directly in R.
The latter form is particularly interesting since it makes possible to considerably extend the features of Azure ML through the realization and the scoring of R models. The module is configurable through its areas of scripting, one for model training and the other for scoring.
Finally, let’s keep in mind that the deprecated modules are also important. Currently, these are: