WSO2 Machine Learner (WSO2 ML) was created as a mechanism to offer a standalone predictive analytics solution. Predictions using machine learning models and online machine learning capabilities are now in WSO2 Stream Processor. Try it now!
WSO2 Machine Learner takes data one step further, pairing data gathering and analytics with predictive intelligence: this helps you understand not just the present, but to predict scenarios and generate solutions for the future.
It helps developers and data scientists perform explorative data analyses, generate solutions - called ‘models’ in machine learning - and to compare these models with one another. Integration with WSO2 products like the Complex Event Processor helps you build models for all manner of tasks - such as classifying data, predicting outcomes or detecting anomalies.
Most problems can be solved with clever architecture and code. Some, however, can’t. Some problems - like predicting business scenarios, driving a vehicle, or detecting handwriting - need dynamic, adaptable solutions based on past and present data. This is where Machine Learner comes in.
WSO2 Machine Learner extracts features from a dataset, made available from a file system, HDFS or WSO2 DAS. This data is passed on to the Machine Learner Core, which allows you to explore your datasets, pre-process your data and apply various machine learning algorithms to make sense out of it all. Using Apache Spark, it then analyzes and build models with the algorithms you’ve chosen. Deep Learning provides advanced machine learning capability as image classification; Anomaly detection support helps to detect difficult-to-identify instances of fraud, network intrusions and other disruptions; Recommendation Engine capability allows you to provide product recommendations for users.
All of Machine Learner’s functionality is exposed via a REST API, with a web-based interface to make the functionality available to anyone who wants to access the capabilities of Machine Learner in a more human-friendly manner.
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