Tessero\Distance

apply(string $name, mixed ...$args): mixed

Call a function by its SciPy/NumPy name: Distance::apply('log_ndtr', $x).

braycurtis(mixed $u, mixed $v, mixed $w = null): mixed

Bray-Curtis distance between two 1-D arrays (scipy.spatial.distance.braycurtis).

canberra(mixed $u, mixed $v, mixed $w = null): mixed

Canberra distance between two 1-D arrays (scipy.spatial.distance.canberra).

cdist(mixed $XA, mixed $XB, mixed $metric = null, mixed $p = null): mixed

Distances between each pair of rows of XA and XB (scipy.spatial.distance.cdist); real float64.

chebyshev(mixed $u, mixed $v, mixed $w = null): mixed

Chebyshev (L-infinity) distance (scipy.spatial.distance.chebyshev).

cityblock(mixed $u, mixed $v, mixed $w = null): mixed

Manhattan (city block) distance (scipy.spatial.distance.cityblock).

correlation(mixed $u, mixed $v, mixed $w = null, mixed $centered = true): mixed

Correlation distance between two 1-D arrays (scipy.spatial.distance.correlation).

cosine(mixed $u, mixed $v, mixed $w = null): mixed

Cosine distance between two 1-D arrays (scipy.spatial.distance.cosine).

dice(mixed $u, mixed $v, mixed $w = null): mixed

Dice dissimilarity between two boolean 1-D arrays (scipy.spatial.distance.dice).

distanceMatrix(mixed $x, mixed $y, mixed $p = 2, mixed $threshold = 1000000): mixed

Matrix of all pairwise Minkowski distances between two point sets (scipy.spatial.distance_matrix).

euclidean(mixed $u, mixed $v, mixed $w = null): mixed

Euclidean distance between two 1-D arrays (scipy.spatial.distance.euclidean).

geometricSlerp(mixed $start, mixed $end, mixed $t): mixed

Geometric spherical linear interpolation between two unit vectors (scipy.spatial.geometric_slerp).

hamming(mixed $u, mixed $v, mixed $w = null): mixed

Hamming distance, the proportion of disagreeing components (scipy.spatial.distance.hamming).

isValidDm(mixed $D, mixed $tol = 0.0, mixed $throw = false, mixed $name = 'D', mixed $warning = false): mixed

Whether D is a valid redundant distance matrix (scipy.spatial.distance.is_valid_dm).

isValidY(mixed $y, mixed $warning = false, mixed $throw = false, mixed $name = null): mixed

Whether y is a valid condensed distance vector (scipy.spatial.distance.is_valid_y).

jaccard(mixed $u, mixed $v, mixed $w = null): mixed

Jaccard-Needham dissimilarity between two boolean 1-D arrays (scipy.spatial.distance.jaccard).

jensenshannon(mixed $p, mixed $q, mixed $base = null): mixed

Jensen-Shannon distance between two probability arrays (scipy.spatial.distance.jensenshannon).

mahalanobis(mixed $u, mixed $v, mixed $VI): mixed

Mahalanobis distance given the inverse covariance VI (scipy.spatial.distance.mahalanobis).

minkowski(mixed $u, mixed $v, mixed $p = 2, mixed $w = null): mixed

Minkowski distance of order p (scipy.spatial.distance.minkowski).

minkowskiDistance(mixed $x, mixed $y, mixed $p = 2): mixed

Per-point Minkowski distance between two arrays of points (scipy.spatial.minkowski_distance).

minkowskiDistanceP(mixed $x, mixed $y, mixed $p = 2): mixed

p-th power of the Minkowski distance, no final root (scipy.spatial.minkowski_distance_p).

numObsDm(mixed $d): mixed

Number of observations in a square distance matrix (scipy.spatial.distance.num_obs_dm).

numObsY(mixed $Y): mixed

Number of observations in a condensed distance vector (scipy.spatial.distance.num_obs_y).

pdist(mixed $X, mixed $metric = null, mixed $p = null): mixed

Pairwise distances between the rows of X, condensed (scipy.spatial.distance.pdist); real float64.

procrustes(mixed $data1, mixed $data2): mixed

Procrustes analysis: standardize and align two point sets (scipy.spatial.procrustes).

rogerstanimoto(mixed $u, mixed $v, mixed $w = null): mixed

Rogers-Tanimoto dissimilarity between two boolean 1-D arrays (scipy.spatial.distance.rogerstanimoto).

russellrao(mixed $u, mixed $v, mixed $w = null): mixed

Russell-Rao dissimilarity between two boolean 1-D arrays (scipy.spatial.distance.russellrao).

seuclidean(mixed $u, mixed $v, mixed $V): mixed

Standardized Euclidean distance given the variance vector V (scipy.spatial.distance.seuclidean).

sokalsneath(mixed $u, mixed $v, mixed $w = null): mixed

Sokal-Sneath dissimilarity between two boolean 1-D arrays (scipy.spatial.distance.sokalsneath).

sqeuclidean(mixed $u, mixed $v, mixed $w = null): mixed

Squared Euclidean distance (scipy.spatial.distance.sqeuclidean).

squareform(mixed $X): mixed

Convert between a condensed distance vector and a square form (scipy.spatial.distance.squareform).

yule(mixed $u, mixed $v, mixed $w = null): mixed

Yule dissimilarity between two boolean 1-D arrays (scipy.spatial.distance.yule).