vishalkuo
/ jenkins_hash.rs
Created
August 14, 2016 03:43
An implementation of the Jenkins Hash in Rust.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| use std::num::Wrapping; | |
| pub fn one_time_hash<T: ToString>(k: T) -> Wrapping<u32> { | |
| let key = k.to_string(); | |
| let mut hash= Wrapping(0u32); | |
| for c in key.chars(){ | |
| let tmp = Wrapping(c as u32); | |
| hash += tmp; | |
| hash += hash << 10; | |
| hash ^= hash >> 6; |
vishalkuo
/ outlier_removal.py
Last active
March 31, 2021 21:53
Remove outliers using numpy. Normally, an outlier is outside 1.5 * the IQR experimental analysis has shown that a higher/lower IQR might produce more accurate results. Interestingly, after 1000 runs, removing outliers creates a larger standard deviation between test run results.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import numpy as np | |
| def removeOutliers(x, outlierConstant): | |
| a = np.array(x) | |
| upper_quartile = np.percentile(a, 75) | |
| lower_quartile = np.percentile(a, 25) | |
| IQR = (upper_quartile - lower_quartile) * outlierConstant | |
| quartileSet = (lower_quartile - IQR, upper_quartile + IQR) | |
| resultList = [] | |
| for y in a.tolist(): |