![]() The straightforward approach would be to: In Nginx Load Balancing to send HTTP requests more often to the servers with the higher weights.You may find an example in the Recipe Generation using Recurrent Neural Network (RNN) Jupyter notebook. In Recurrent Neural Networks (RNN) when trying to decide what letter to choose next (to form the sentence) based on the next letter probability.You may find an example in the Self-Parking Car in 500 Lines of Code article. ![]() In Genetic Algorithm the weighted random is used during the "Selection" phase, when we need to select the fittest/strongest individuums based on their fitness score for mating and for producing the next stronger generation.The Weighted Random in this case will be the function that will randomly return you the item from the list, and it will take each item's weight into account, so that items with the higher weight will be picked more often.Įnter fullscreen mode Exit fullscreen mode If we speak in terms of probabilities than the weights list might be an array of floats that sum up to 1 (i.e. and the carrots □ you really don't like (want to eat it only 1 out of 11 times).then you would like to eat bananas □ less often (only 3 out of 11 times),.you would like to eat □ apples more often ( 7 out of 3 + 7 + 1 = 11 times),.For example, the weights like would say that: The list of weights represent the weight (or probability, or importance) of each item. For example, we may have a list of fruits and vegetables that you like to eat. ℹ️ Examples are from the javascript-algorithms repository ![]()
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