getml.feature_learning

This module contains relational learning algorithms to learn features from relational data or time series.

Note:

All feature learners need to be passed to Pipeline.

Classes

MultirelModel([aggregation, allow_sets, …])	Feature learning based on Multi-Relational Decision Tree Learning.
MultirelTimeSeries([horizon, memory, …])	Feature learning for time series based on multi-relational decision tree learning.
RelboostModel([allow_null_weights, delta_t, …])	Feature learning based on Gradient Boosting.
RelboostTimeSeries([horizon, memory, …])	Feature learning for time series based on Gradient Boosting.
RelMTModel([allow_avg, delta_t, gamma, …])	Feature learning based on relational linear model trees.
RelMTTimeSeries([horizon, memory, …])	Feature learning based on relational linear model trees.