lenskit.splitting.TTSplit

class lenskit.splitting.TTSplit(train, test, name=None)

Bases: Generic[TK]

A train-test set from splitting or other sources.

Stability:

Caller (see Stability Levels).

Parameters:

• train (Dataset)

• test (ItemListCollection[TK])

• name (str | None)

__init__(train, test, name=None)

Parameters:

• train (Dataset)

• test (ItemListCollection[TK])

• name (str | None)

Return type:

None

Methods

__init__(train, test[, name])

Attributes

name	A name for this train-test split.
test_df	Get the test data as a data frame.
test_size	Get the number of test pairs.
train_df	Get the training data as a data frame.
train	The training data.
test	The test data.

train: Dataset

The training data.

test: ItemListCollection[TK]

The test data.

name: str | None = None

A name for this train-test split.

property test_size: int

Get the number of test pairs.

property test_df: DataFrame

Get the test data as a data frame.

property train_df: DataFrame

Get the training data as a data frame.