energia.utils.math

Utilities to perform mathematical operations

Functions

erf(x, /)	Error function at x.
exp(x, /)	Return e raised to the power of x.
find_euclidean_distance(a, b)	finds euclidean distances between two cluster nodes
generate_connectivity_matrix(scale_len)	Generates a connectivity matrix to maintain chronology [..1,0,1..]
norm_constant(p, mu, sigma)	Calculates the normal constant
normalize(data[, how])	min max normalization of data
sqrt(x, /)	Return the square root of x.

norm_constant(p, mu, sigma) → float

Calculates the normal constant

Parameters:

• p (float) – level of compliance

• mu (float) – mean

• sigma (float) – standard deviation

Returns:

normal constant

Return type:

float

find_euclidean_distance(a: list, b: list) → float

finds euclidean distances between two cluster nodes

Parameters:

• a (list) – coordinates of cluster node a

• b (list) – coordinates of cluster node b

Returns:

euclidean distance

Return type:

float

generate_connectivity_matrix(scale_len) → array

Generates a connectivity matrix to maintain chronology [..1,0,1..]

Parameters:

scale_len (int) – length of the scale

Returns:

connectivity matrix

Return type:

numpy.array

normalize(data: list, how: str = 'max') → list

min max normalization of data

Parameters:

• data (numpy.array | DataFrame) – time-series data

• how (str, optional) – min-max or max, defaults to “max”

Returns:

normalized data

Return type:

numpy.array | DataFrame