Module pairwise (1.11.1)

Version 1.11.1

• 1.27.0 (latest)
• 1.26.0
• 1.25.0
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• 1.11.1
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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.