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.

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.

RelboostTimeSeries([horizon, memory, …])

Feature learning for time series based on Gradient Boosting.