Tour of Apache PredictionIO in 10 Minutes
- 1. Tour of Apache PredictionIO in 10 Minutes Scala eXchange Dec 14th, 2017
- 2. Web Developer We'd like to give users recommendations.
- 3. App Give us items, please. Web Developer Here you are.
- 4. Give us items, please. Web Developer Here you are. App It's easy for you to say.
- 6. Training Data Prediction query result collect some events App
- 9. Training Data query result App collect some events PredictionIO
- 10. Overview ● Open source machine learning framework ○ Building an end-to-end machine learning platform ● Built-in storage facilities ○ Training data: (e.g.: Elasticsearch, HBase) ○ Models: (e.g.: HDFS, S3)
- 11. Apply Governance ● Involve personal efforts ○ Inconsistent architectures ● Apply governance using PIO ○ Improve efficiency and productivity
- 13. Training Data Predictive Model Prediction deploy query result App collect some events predict train
- 15. Templates ● All kinds of machine learning tasks ○ Template gallery offers templates in advance ○ Use by downloading a template ● Customizable
- 16. Process
- 17. Process git clone choose a template collect some events Ap
- 18. Process git clone collect some events pio build choose a template
- 19. Process git clone collect some events pio build pio train store model choose a template
- 20. Process git clone collect some events pio build pio train pio deploy store model choose a template
- 21. Process git clone collect some events pio build pio train pio deploy App query store model choose a template
- 22. Process git clone collect some events pio build pio train pio deploy App query result store model choose a template Note that some steps are left out for brevity.
- 23. Algorithm def train(sc: SparkContext, data: PreparedData): Model = { // Returns a trained model } def predict(model: Model, query: Query): PredictedResult = { // Returns a prediction }
- 24. Algorithm def train(sc: SparkContext, data: PreparedData): Model = { // Returns a trained model } def predict(model: Model, query: Query): PredictedResult = { // Returns a prediction } Produce a model from prepared data
- 25. Algorithm def train(sc: SparkContext, data: PreparedData): Model = { // Returns a trained model } def predict(model: Model, query: Query): PredictedResult = { // Returns a prediction } Produce a prediction from a query and trained model
- 26. Community ● Support : user@predictionio.apache.org ● https://predictionio.apache.org