Machine Learning Lab

Ivanti Neurons Machine Learning Lab provides you with a centralized environment to create, train, and deploy machine learning models. Currently, these models can be used to power Neurons for ITSM Ticket Classification, but more applications will follow. The models are created from within the Ivanti Neurons Platform and remain there even when deployed.
With Machine Learning Lab, you no longer need in-depth knowledge about machine learning models.

You can find the Ivanti Neurons Machine Learning Lab at Software > Machine Learning Lab.
For a successful implementation of a machine learning model, you will have to prepare the following:

  • Training data: a set of examples where the combination of input and output are known to be correct.
  • Stopwords (optional): a list of words that the model must ignore. This can be used to improve model performance.
    Please note that a default set of stopwords from NLTK is applied automatically.

For more information about preparing your data set and training a machine learning model, see Getting Started with Ticket Classification.

Currently, Machine Learning Lab supports only machine learning models for Neurons for ITSM Ticket Categorization, and the English language.

The Machine Learning Models table shows a list of existing machine learning models and their properties.
Click the Model Name for more detailed information about the model.

Below is a list of possible actions related to machine learning models.
For a step-by-step guide to configure Ticket Classification, see Getting Started with Ticket Classification.