lenskit.splitting.TTSplit

class lenskit.splitting.TTSplit(train, test)

Bases: Generic[TK]

A train-test set from splitting or other sources.

Parameters:

• train (Dataset)

• test (ItemListCollection[TK])

__init__(train, test)

Parameters:

• train (Dataset)

• test (ItemListCollection[TK])

Return type:

None

Methods

__init__(train, test)
from_src_and_test(src, test)	Create a split by subtracting test data from a source dataset.

Attributes

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.

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.

classmethod from_src_and_test(src, test)

Create a split by subtracting test data from a source dataset.

Parameters:

• src (Dataset)

• test (ItemListCollection[TK])

Return type:

TTSplit[TK]