Module pairwise (1.29.0)

API documentation for pairwise module.

Modules Functions

paired_cosine_distances

paired_cosine_distances(
    X: typing.Union[bigframes.dataframe.DataFrame, bigframes.series.Series],
    Y: typing.Union[bigframes.dataframe.DataFrame, bigframes.series.Series],
) -> bigframes.dataframe.DataFrame

Compute the paired cosine distances between X and Y.

Parameters
Name	Description
`X`	`Series or single column DataFrame of array of numeric type` Input data.
`Y`	`Series or single column DataFrame of array of numeric type` Input data. X and Y are mapped by indexes, must have the same index.

Returns
Type	Description
`bigframes.dataframe.DataFrame`	DataFrame with columns of X, Y and cosine_distance.

paired_euclidean_distances

paired_euclidean_distances(
    X: typing.Union[bigframes.dataframe.DataFrame, bigframes.series.Series],
    Y: typing.Union[bigframes.dataframe.DataFrame, bigframes.series.Series],
) -> bigframes.dataframe.DataFrame

Compute the paired euclidean distances between X and Y.

Parameters
Name	Description
`X`	`Series or single column DataFrame of array of numeric type` Input data.
`Y`	`Series or single column DataFrame of array of numeric type` Input data. X and Y are mapped by indexes, must have the same index.

Returns
Type	Description
`bigframes.dataframe.DataFrame`	DataFrame with columns of X, Y and euclidean_distance.

paired_manhattan_distance

paired_manhattan_distance(
    X: typing.Union[bigframes.dataframe.DataFrame, bigframes.series.Series],
    Y: typing.Union[bigframes.dataframe.DataFrame, bigframes.series.Series],
) -> bigframes.dataframe.DataFrame

Compute the L1 distances between the vectors in X and Y.

Parameters
Name	Description
`X`	`Series or single column DataFrame of array of numeric type` Input data.
`Y`	`Series or single column DataFrame of array of numeric type` Input data. X and Y are mapped by indexes, must have the same index.

Returns
Type	Description
`bigframes.dataframe.DataFrame`	DataFrame with columns of X, Y and manhattan_distance.