Crate concision_utils

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.

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A suite of utilities tailored toward neural networks.

Our focus revolves around the following areas:

Modules§

error
stats: Statistical primitives and utilities commonly used in machine learning.

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

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.