Normal (Gussian) Distributions
Project description
This package is created for statistical analysis and for machine learning
least square linear rigression model cost function evaluation by Normal
(Gussian) distribution. It also can be use to calculate the mean and standard
deviation of a data set.
It has two classes class Distribution: This contains two methods method(class attributes) method data_loader(file): This takes in a file in text format and append the data to a data list for calculations.
class Normal: This contains six methods methods calculate_mean(), calculate_std(), distribution_plot(), normal_distribution(x), add_distribution(other), total_distribution()
calculate_mean() returns the mean of the data set.
calculate_std() returns the standard deviation of the data set.
distribution_plot() returns the gussian plot of the data set.
normal_distribution() returns the Gussian distribution value for a given
point.
to add two normal distributions together, add_distribution(other) where
other=Gussian returns the mean and standard deviation for the multiple
distribution
total_distribution() returns the mean and the standard deviation for the
combined distribution
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for NormalDistribution-0.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 504f53cb89d552d65c864c23496c7d4d40188739ce8fb05c654331338797c921 |
|
MD5 | c8d897c28fd04f3bfcb6620805ab9e6a |
|
BLAKE2b-256 | 22557c8405df43c3437e3fa243bfda99a6c40b920ee3bb1d13ca823da645ecc8 |