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title: Glossary

Data Preparator

• Part of Engine. It reads data from source and transforms it to the desired format.

Data Source

• Part of Engine. It preprocesses the data and forward it to the algorithm for model training.

Engine

• An Engine represents a type of prediction, e.g. product recommendation. It is comprised of four components: [D] Data Source and Data Preparator, [A] Algorithm, [S] Serving, [E] Evaluation Metrics.

EngineClient

• Part of PredictionSDK. It sends queries to a deployed engine instance through the Engine API and retrieves prediction results.

Event API

• Please see Event Server.

Event Server

• Event Server is designed to collect data into PredictionIO in an event-based style. Once the Event Server is launched, your application can send data to it through its Event API with HTTP requests or with the EventClient of PredictionIO's SDKs.

EventClient

• Please see Event Server.

Live Evaluation

• Evaluation of prediction results in a production environment. Prediction results are shown to real users. Users do not rate the results explicitly but the system observes user behaviors such as click through rate.

Offline Evaluation

• The prediction results are compared with pre-compiled offline datasets. Typically, offline evaluations are meant to identify the most promising approaches.

Test Data

• Also commonly referred as Test Set. A set of data used to assess the strength and utility of a predictive relationship.

Training Data

• Also commonly referred as Training Set. A set of data used to discover potentially predictive relationships. In PredictionIO Engine, training data is processed through the Data layer and passed onto algorithm.