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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. |