Hi, PredictionIO serves as a framework for other numerical processing libraries, primarily Spark's MLlib. You can read more of the documentation on the Spark website <https://spark.apache.org/docs/latest/ml-guide.html>.
The library has many tools related to classification, regression, collaborative filtering, NLP, and other related tasks, so it's probably easier to describe the broad task you want to do and then find out the specific Spark / Java / Scala implementation API's. If you want to learn more about several statistical techniques, I would recommend a general statistical book that describes many common techniques. I find the Elements of Statistical Learning <https://web.stanford.edu/~hastie/ElemStatLearn/> by Springer Press to be particularly useful to that end. There are several other books about Scikit-learn that also describe very well the variety of statistical algorithms available to Data Scientists. Hope that helps! *ANDREW TROEMNER*Associate Principal Data Scientist | salesforce.com Office: 317.832.4404 Mobile: 317.531.0216 <http://smart.salesforce.com/sig/atroemner//us_mb_kb/default/link.html> On Mon, Apr 23, 2018 at 12:32 PM, GMAIL <[email protected]> wrote: > Hello. > Is it possible to find scientific articles or a mathematical description > of the work of PredictionIO anywhere? > I could not find anything on predictionio.apache.org except for a brief > description of the principle of work and deployment documentation. >
