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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
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
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
DataFrame with columns of X, Y and manhattan_distance.
