lenskit.splitting.TTSplit

class lenskit.splitting.TTSplit

A train-test set from splitting or other sources.

Changed in version 2026.1: Added the test_requests property.

Stability:

Caller (see Stability Levels).

train: lenskit.data.Dataset

The training data.

test: lenskit.data.ItemListCollection

The test data.

name: str | None = None

A name for this train-test split.

property test_size: int

Get the number of test pairs.

Return type:

int

property test_df: pandas.DataFrame

Get the test data as a data frame.

Return type:

pandas.DataFrame

property train_df: pandas.DataFrame

Get the training data as a data frame.

Return type:

pandas.DataFrame

property test_requests: lenskit.batch.TestRequestAdapter

Get the test data as a sequence of batch recommendation requests.

See also

Batch Queries

Returns:

An collection that iterates over recommendation requests derived from the test data.

Return type:

lenskit.batch.TestRequestAdapter