Main#
- 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
- extract_distance_id(distance_id: str) -> (<built-in function callable>, <class 'str'>)[source]#
Extracts inner distance and main distance from distance_id.
- Parameters:
distance_id (str) – Name of the distance.
- Returns:
callable – Inner distance.
str – Main distance.
- 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
- run_multiple_processes(experiment, instances_ids: list, distances: dict, times: dict, matchings: dict, process_id: int) None[source]#
Calculates distances between each pair of instances (using multiple processes).
- Parameters:
experiment (Experiment) – Experiment object.
instances_ids (list) – List of the Ids.
distances (dict) – Dictionary with distances between each pair of instances
times (dict) – Dictionary with time of calculation of each distance.
matchings (dict) – Dictionary with matchings between each pair of instances.
process_id (int) – ID of the process.
- Return type:
None
- run_single_process(experiment, instances_ids: list, distances: dict, times: dict, matchings: dict) None[source]#
Calculates distances between each pair of instances (using single process).
- Parameters:
experiment (Experiment) – Experiment object.
instances_ids (list) – List of the Ids.
distances (dict) – Dictionary with distances between each pair of instances
times (dict) – Dictionary with time of calculation of each distance.
matchings (dict) – Dictionary with matchings between each pair of instances.
- Return type:
None
- 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