Numerix
A collection of useful mathematical functions in Elixir with a slant towards statistics, linear algebra and machine learning.
Installation
Add numerix to your list of dependencies in mix.exs:
def deps do
[{:numerix, "~> 0.3.0"}]
end
Ensure numerix is started before your application:
def application do
[applications: [:numerix]]
endExamples
Check out the tests for examples.
Documentation
Check out the API reference for the latest documentation.
Features
Statistics
- Mean
- Weighted mean
- Median
- Mode
- Range
- Variance
- Population variance
- Standard deviation
- Population standard deviation
- Moment
- Kurtosis
- Skewness
- Covariance
- Weighted covariance
- Population covariance
- Quantile
- Percentile
Correlation functions
- Pearson
- Weighted Pearson
Distance functions
- Mean squared error (MSE)
- Root mean square error (RMSE)
- Pearson
- Minkowski
- Euclidean
- Manhattan
- Jaccard
General math functions
- nth root
Special functions
- Logit
- Logistic
Window functions
- Gaussian
Linear algebra
- Dot product
- L1-norm
- L2-norm
- p-norm
- Vector subtraction and multiplication
Linear regression
- Least squares best fit
- Prediction
- R-squared
Kernel functions
- RBF