CODEWITHSUNDEEP
androidmachine-learningwekarandom-forest
Yuerno
Yuerno

Reputation: 843

Is there a way to use a Random Forest model on Android to make predictions?

I've been looking at primarily Weka to do machine learning testing, and I've found that Random Forest models have the best results for my purposes. I wanted to save this model and implement it on Android to predict new values, but these days it seems nigh-impossible to implement Weka on Android (all the available sources are super out-dated).

Are there any ways to train a Random Forest model, and then implement that model on an Android app to predict new values?

Upvotes: 3

Views: 2887

Answers (2)

Alberto Casas Ortiz
Alberto Casas Ortiz

Reputation: 895

In addition to the answer of user1808924, you can convert Weka Random Forest to PMML using the following tool:

https://github.com/AlbertoCasasOrtiz/weka-to-pmml

And then proceed to load the PMML models in Android.

Upvotes: 0

user1808924
user1808924

Reputation: 4926

In addition to Weka, you can train Random Forest (RF) models also with R, Scikit-Learn or Apache Spark ML. You can export/convert RF models from their native representation into the standardized PMML representation using R2PMML, SkLearn2PMML or JPMML-SparkML-Package tools, respectively, and then import and score such models using Java PMML scoring engines such as JPMML-Evaluator. The latter has a direct Android integration available.

Upvotes: 2

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