Normality Test for Big Data
Project description
Empirical Normality Test
A normality test based on empirical rule for big data
Installation
pip install big-data-normality
Get started
How to multiply one number by another with this lib:
from big_data_normality.empirical_normality_test import EmpiricalNormalityTest
# Instantiate a EmpiricalNormalityTest object
emp_norm_test = EmpiricalNormalityTest(2)
Project details
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
Close
Hashes for big_data_normality-0.1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 795716239ce394b0e6bec2dbef91cd8bdf8fe65b36594d737647daeb8ed838a0 |
|
MD5 | c1f39b83117c76568c7afd861186cd5c |
|
BLAKE2b-256 | f6b1d5b02fb260822631f04a46d0400911e967c8cf37faeaef066e3079a9d314 |