Crate concision_utils

A suite of utilities tailored toward neural networks.

Our focus revolves around the following areas:

• Numerical Operations: Efficient implementations of mathematical functions.
• Statistical Functions: Tools for statistical analysis and operations.
• Signal Processing: Functions and utilities for signal manipulation.
• Utilities: General-purpose utilities to aid in mathematical computations.

Modules

error

stats

Statistical primitives and utilities commonly used in machine learning.

Enums

UtilityError

Traits

Abs

AsComplex

Conjugate

Cos

Cosh

Cubed

Exp

FloorDiv

IntoComplex

Trait for converting a type into a complex number.

PercentDiff

Compute the percentage difference between two values. The percentage difference is defined as:

Root

The Root trait provides methods for computing the nth root of a number.

RoundTo

Sine

Sinh

SquareRoot

Squared

Tan

Tanh

Functions

calculate_pattern_similarity

Calculate similarity between two patterns

clip_gradient

Clip the gradient to a maximum value.

clip_inf_nan

concat_iter

Creates an n-dimensional array from an iterator of n dimensional arrays.

extract_patterns

Extract common patterns from historical sequences

floor_div

divide two values and round down to the nearest integer.

genspace

hstack

stack a 1D array into a 2D array by stacking them horizontally.

inverse

is_similar_pattern

Check if two patterns are similar enough to be considered duplicates

layer_norm

layer_norm_axis

linarr

round_to

Round the given value to the given number of decimal places.

stack_iter

Creates a larger array from an iterator of smaller arrays.

tril

Returns the lower triangular portion of a matrix.

triu

Returns the upper triangular portion of a matrix.

vstack

stack a 1D array into a 2D array by stacking them vertically.