Inner Distances

Inner Distances#

chebyshev(vector_1: list, vector_2: list) → float[source]#

Computes the Chebyshev distance.

Parameters:

  • vector_1 (list) – First vector.

  • vector_2 (list) – Second vector.

Returns:

Chebyshev distance.

Return type:

float

discrete(vector_1, vector_2) → int[source]#

Computes the discrete distance.

Parameters:

  • vector_1 – First vector.

  • vector_2 – Second vector.

Returns:

Discrete distance.

Return type:

int

emd(vector_1: list, vector_2: list) → float[source]#

Computes the EMD distance.

Parameters:

  • vector_1 (list) – First vector.

  • vector_2 (list) – Second vector.

Returns:

EMD distance.

Return type:

float

emdinf(vector_1: list, vector_2: list) → float[source]#

Computes the EMD-infinity distance.

Parameters:

  • vector_1 (list) – First vector.

  • vector_2 (list) – Second vector.

Returns:

EMD-infinity distance.

Return type:

float

hamming(set_1: set, set_2: set) → int[source]#

Computes the Hamming distance between two sets.

Parameters:

  • set_1 (set) – First vector.

  • set_2 (set) – Second vector.

Returns:

Hamming distance.

Return type:

int

hellinger(vector_1: list, vector_2: list) → float[source]#

Computes the Hellinger distance.

Parameters:

  • vector_1 (list) – First vector.

  • vector_2 (list) – Second vector.

Returns:

Hellinger distance.

Return type:

float

l1(vector_1: ndarray, vector_2: ndarray) → float[source]#

Computes the L1 distance.

Parameters:

  • vector_1 (np.ndarray) – First vector.

  • vector_2 (np.ndarray) – Second vector.

Returns:

L1 distance.

Return type:

float

l2(vector_1: ndarray, vector_2: ndarray) → float[source]#

Computes the L2 distance.

Parameters:

  • vector_1 (np.ndarray) – First vector.

  • vector_2 (np.ndarray) – Second vector.

Returns:

L2 distance.

Return type:

float

map_str_to_func(name: str) → callable[source]#

Maps a string to a function.

Parameters:

name (str) – Name of the distance.

Return type:

callable

single_l1(value_1, value_2) → float[source]#

Computes the L1 distance between two values.

Parameters:

  • value_1 – First value.

  • value_2 – Second values.

Returns:

L1 distance.

Return type:

float

spearman_distance_between_potes(pote_1: list, pote_2: list) → int[source]#

Computes the Spearman distance between two potes (i.e. positional votes).

Parameters:

  • pote_1 (list) – First vector.

  • pote_2 (list) – Second vector.

Returns:

Spearman distance.

Return type:

int

swap_distance(vote_1: list, vote_2: list, matching=None) → int[source]#

Return: Swap distance between two votes

swap_distance_between_potes(pote_1: list, pote_2: list) → int[source]#

Computes the swap distance between two potes (i.e. positional votes).

Parameters:

  • pote_1 (list) – First vector.

  • pote_2 (list) – Second vector.

Returns:

Swap distance.

Return type:

int

vote_to_pote(vote: list) → list[source]#

Converts vote to pote (i.e. positional vote)

Parameters:

vote (list) – Ordinal vote.

Returns:

Potes (i.e. positional votes).

Return type:

list

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