| Package | Description |
|---|---|
| org.lenskit | |
| org.lenskit.api |
Interfaces defining an implementation-independent recommendation API.
|
| Package | Description |
|---|---|
| org.lenskit.basic |
Basic component implementations.
|
| Package | Description |
|---|---|
| org.lenskit.results |
| Package | Description |
|---|---|
| org.lenskit.data.dao |
LensKit data access objects.
|
| org.lenskit.data.dao.file | |
| org.lenskit.data.entities |
Code for LensKit’s core entity data model.
|
| org.lenskit.data.output | |
| org.lenskit.data.ratings |
Ratings data type.
|
| org.lenskit.data.store |
In-memory storage of entities.
|
| org.lenskit.util.io |
| Package | Description |
|---|---|
| org.grouplens.lenskit.transform.clamp |
Clamping functions.
|
| org.grouplens.lenskit.transform.threshold |
Threshold values.
|
| org.grouplens.lenskit.transform.truncate |
| Package | Description |
|---|---|
| org.lenskit.baseline |
Baseline scorers.
|
| org.lenskit.knn |
Neighborhood-based collaborative filtering (common support code).
|
| org.lenskit.knn.item |
Implementation of item-item collaborative filtering.
|
| org.lenskit.knn.item.model |
Model classes and builders for the item-item k-NN collaborative filter.
|
| org.lenskit.knn.user |
Implementation of user-user collaborative filtering.
|
| org.lenskit.predict | |
| org.lenskit.predict.ordrec | |
| org.lenskit.slopeone |
| Package | Description |
|---|---|
| org.lenskit.cli |
LensKit command line commands and infrastructure.
|
| org.lenskit.cli.commands |
Commands for the LensKit CLI.
|
| org.lenskit.cli.util |
Helper utilities for the LensKit CLI.
|
| org.lenskit.eval.crossfold | |
| org.lenskit.eval.temporal | |
| org.lenskit.eval.traintest |
Train-test evaluation support.
|
| org.lenskit.eval.traintest.metrics | |
| org.lenskit.eval.traintest.predict |
Prediction accuracy measurements for the train-test evaluator.
|
| org.lenskit.eval.traintest.recommend |
| Package | Description |
|---|---|
| org.grouplens.lenskit.iterative |
Common utilities for iterative methods.
|
| org.lenskit.inject |
Support classes for working with dependency injection.
|
| org.lenskit.util | |
| org.lenskit.util.collections |
Custom collections and related utilities.
|
| org.lenskit.util.describe |
The ‘describer’ framework.
|
| org.lenskit.util.keys |
Data structures indexed by long IDs (keys).
|
| org.lenskit.util.math | |
| org.lenskit.util.monitor | |
| org.lenskit.util.parallel |
Utilities for parallel and concurrent computation.
|
| org.lenskit.util.reflect | |
| org.lenskit.util.table | |
| org.lenskit.util.table.writer |
Utilities for writing two-dimensional tables of data.
|
| Package | Description |
|---|---|
| org.lenskit.bias |
User-item bias models, suitable for use in baseline scorers and normalizers.
|
| org.lenskit.config |
Configuration loading support.
|
| org.lenskit.external | |
| org.lenskit.graph |
Support code for visualizing recommender graphs.
|
| org.lenskit.hybrid |
Hybrid recommenders.
|
| org.lenskit.rerank |
re-ranking recommenders.
|
| org.lenskit.similarity |
Similarity functions over vectors.
|
| org.lenskit.transform.normalize |
Interfaces and classes for data normalization.
|
| org.lenskit.transform.quantize |
Quantize values.
|