22 packages tagged with “weighted”
A data structure which allows fast random selection of items
Dice toolkit for .Net. Construct dice with interesting behaviors.
WeightedSelector.NET lets you assign weights to a set of choices, then make intelligent decisions based on each choice's proportion of the total weight. This simple concept is useful for machine learning scenarios where choices need to be made based on dynamic factors. Great examples include suggestion engines and game AI. In one of the examples, we implement a game AI that decides between attacking, fleeing, and casting a heal spell based on a dynamic "fear" factor... In 6 lines of code. Free to use under MIT License.
Transform financial market price data into technical analysis indicators such as MACD, Stochastic RSI, Average True Range, Parabolic SAR, and more.
Randomizer for NDice using Troschuetz.Random
Randomizer for NDice using System.Security.Cryptography
Randomizer for NDice using random.org API
Official NDice metapackage for randomizers
Collection which allows items to be pulled out randomly including weighting as a consideration
Incrementally computes the variance, mean and count without needed several passes.
RandomSelection is designed to take in entries, with the option to give some entries a higher chance at being selected, and then return one or more selectees. It utilizes System.Security.Cryptography to ensure a higher quality random number is used for shuffling the data and selecting winners.
KombiN is an algorithm to get index for combination pair and to get combination pair from index, where all possible combination pairs from two finite sets are sorted by their weight in ascending order.
MoreComplexDataStructures is a class library containing a collection of data structures (plus related utility classes) more complex than those found in the standard .NET framework. The project currently contains the following data structures and utility classes... WeightBalancedTree<T> - A weight-balanced binary search tree MinHeap<T> - A tree-based min heap MaxHeap<T> - A tree-based max heap PriorityQueue<T> - A tree-based double-ended priority queue Trie<T> - A trie (or prefix tree) CharacterTrie - A trie which stores characters (with some performance enhancements over Trie<Char>) WeightedRandomGenerator<T> - A weighted random number (or item) generator UniqueRandomGenerator - A random number generator guaranteed to always produce unique numbers within a given range FrequencyTable<T> - A frequency table LRUCache<TKey, TValue> - A simple least recently used cache UnflaggedNumberGenerator - Allows the 'flagging' (marking) of numbers in a specified range, and provides methods to identify numbers which were not flagged LongIntegerStatusStorer - Stores a boolean status for a complete set of long integers ListRandomizer - Randomizes the elements of a list using the Fisher/Yates/Knuth algorithm
Creates a weighted random distribution. Can be used when certain values should occure more or less than when using Random. Values and distribution weight is supplied into the constructor. WeightedRandom.Next() can then be called to get the next value.
Weighted binding library for Bridge.NET projects.
A concise C# library for effortless random selection of items from a list, each with its own probability. Perfect for scenarios requiring diverse likelihoods in a simple and efficient package.
C# randomization helpers - random picker, weighted picks.
Volume Weighted Price Breakout (C#)
Volume Weighted Price Breakout (Python)
Largest C# stock indicator library with over 750 to choose from and easiest to use with abilities such as making an indicator out of any other indicator or using any moving average with any indicator.
Stock Indicators for .NET. Transform financial market price quotes into technical analysis indicators such as MACD, Stochastic RSI, Average True Range, Parabolic SAR, etc. Nothing more.
BinanceEx is a base library which is used to implement different cryptocurrency (exchange) API's. It provides a standardized way of implementing different API's, which results in a very similar experience for users of the API implementations.