Auto ML


Automated Machine Learning

AutoML (Automated Machine Learning) is the process of automating the end-to-end traditional machine learning model and applying it to solve the real-world problems.

Machine learning is a subset of AI concerned with the algorithms and statistical models that computer systems use to make predictions, based on patterns and inferences created through training. The conventional machine learning process relies heavily on human expertise to process the data used for training models, construct appropriate features, apply the right algorithms, and analyze the results obtained.

AutoML ensures that these resource-intensive, time-consuming, and iterative tasks of the traditional machine learning process are completely automated. It enables non-experts to easily work with machine learning, without requiring significant domain knowledge about designing, creating, or comparing models because of its automation.

Catalyst Zia AutoML

Catalyst AutoML is a Catalyst Zia Services component that analyzes a set of training data and predicts the outcome of a particular subset of that data, without requiring explicit instructions. You can train models in AutoML by providing a dataset and training columns for analysis, and specifying the target column whose value you need to predict. Zia then iterates through a variety of machine learning algorithms and trains the model to generate predictive analytics on the dataset. You can then implement AutoML in your Catalyst applications that include predictive analytics.

You can access and configure AutoML for your project from the Catalyst web console. Once you have trained a model, you can test it and predict values from the Catalyst console. You can also obtain a detailed evaluation report of the trained model.

You can perform predictions in your AutoML models from your Catalyst applications using APIs. For more information, refer to the API documentation. You can refer to the Java SDK documentation, Node.js SDK documentation and Python SDK documentation for code samples of AutoML.

Learn more about the other components of Catalyst Zia Services from this page.

Last Updated 2023-08-18 18:27:19 +0530 +0530