Main features of Apache PredictionIO are:
The main benefits of Apache PredictionIO are its flexible open-source machine that can integrate with many apps, complete tools for creating apps from scratch even without coding knowledge, and its automatic data collection that can gauge the created app’s effectiveness upon implementation.
Apache Prediction IO is an open-source machine learning platform that enables data scientists and developers to construct, assess, and send out engines through machine learning algorithms. The app enables the user to rely on the platform for their work without restrictions.
With the app, users can select the deployment method that is most suitable for them. The app can be installed on computing machines like a full learning package with MLlib, Apache Spark, Spray, HBase, and Elasticsearch. With all these apps combined, the machine learning infrastructure is done easier and faster.
Apache Prediction IO users have a choice to not start from scratch when making their own programs. Since the app has a template library, users can customize these base apps to soon be part of their machine learning processes. The templates also hasten the model creation process.
Apache PredictionIO also comes with an API that allows integration with mobile or web applications. With this feature, users have the flexibility to further customize their target platform and its compatible apps.
Continuous Data Collection
Using Apache PredictionIO, users can trust that their app data is automatically recorded. With this information, the engine can create predictive models from the collected data. Additionally, the engine applies these data-made models to become solutions to active queries and even comes with precise predictions only applied as a web service.
The following Apache PredictionIO integrations are currently offered by the vendor:
Apache PredictionIO pricing is available in the following plans: