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python Programming Glossary: probabilitiesGenerating Discrete random variables with various weights using SciPy or NumPy http://stackoverflow.com/questions/11373192/generating-discrete-random-variables-with-various-weights-using-scipy-or-numpy random values based on their corresponding also specified probabilities. I only need it to generate float values but I don't see why.. obvious SciPy or NumPy function. E.g. values 1.1 2.2 3.3 probabilities 0.2 0.5 0.3 print some_function values probabilities size 10.. 3.3 probabilities 0.2 0.5 0.3 print some_function values probabilities size 10 2.2 1.1 3.3 3.3 2.2 2.2 1.1 2.2 3.3 2.2 Note I found..
How to solve the “Mastermind” guessing game? http://stackoverflow.com/questions/1185634/how-to-solve-the-mastermind-guessing-game a method to calculate the entropy information of a set of probabilities. This is just ‘p log p. For convenience however I will allow..
How does sklearn.svm.svc's function predict_proba() work internally? http://stackoverflow.com/questions/15111408/how-does-sklearn-svm-svcs-function-predict-proba-work-internally note by the LibSVM authors to calibrate the SVM to produce probabilities in addition to class predictions. Platt scaling requires first..
Python: Random is barely random at all? http://stackoverflow.com/questions/2145510/python-random-is-barely-random-at-all thought. This dissonance between the percived and actual probabilities makes the Birthday Paradox a good example example of a cognitive..
Randomly selecting lines from files http://stackoverflow.com/questions/3009832/randomly-selecting-lines-from-files being picked exactly what it should be thus reducing the probabilities on the previous 3 lines by exactly the right amount 1 3 3 4..
In Python small floats tending to zero http://stackoverflow.com/questions/3704570/in-python-small-floats-tending-to-zero in Python the problem is that when I multiply the features probabilities I get VERY small float values like 2.5e 320 or something like.. that in terms of logarithms . So rather than multiplying probabilities you sum their logarithms. You might want to look at other algorithms..
Generate random numbers with a given (numerical) distribution http://stackoverflow.com/questions/4265988/generate-random-numbers-with-a-given-numerical-distribution a given numerical distribution I have a file with some probabilities for different values e.g. 1 0.1 2 0.05 3 0.05 4 0.2 5 0.4 6.. might be what you want. You can supply your probabilities via the values parameter. You can then use the rvs method of..
Fitting data to distributions? http://stackoverflow.com/questions/4290081/fitting-data-to-distributions the joint probability of your data involves multiplying probabilities which are all less than 1. Even for a small set of data the.. probability approaches 0 very quickly and adding the log probabilities of your data is equivalent to multiplying the probabilities... of your data is equivalent to multiplying the probabilities. The likelihood is maximized as the log likelihood approaches..
Fitting empirical distribution to theoretical ones with Scipy (Python)? http://stackoverflow.com/questions/6620471/fitting-empirical-distribution-to-theoretical-ones-with-scipy-python tending to 0. I don't know if I am right but to determine probabilities I think I need to fit my data to a theoretical distribution..
How to approach number guessing game(with a twist) algorithm? http://stackoverflow.com/questions/7694978/how-to-approach-number-guessing-gamewith-a-twist-algorithm user changing the total and me having a list of all the probabilities how should I approach this What do I need to learn Is there..
http://stackoverflow.com/questions/9330114/chi-squared-test-in-python 20 0 0 p c 0.25 0.25 0.25 0.25 Chi squared test for given probabilities data c 20 20 0 0 X squared 40 df 3 p value 1.066e 08 How can..
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