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Sign up[FEATURE] Addition of statistical and probability distribution functions #751
Comments
deadshotsb
changed the title
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Although the normal distribution is present under random library as std::normal_distribution , should i just add an implementation from the ground up or implement that directly? |
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In case of std::normal_distribution, it is effective in calculating the standard deviation and mean of the distribution. But if we can extend the present scenario to calculate the std deviation and mean of not one but N of those distributions in an optimised way. I checked in the probability file of this repository but there is no reference of distribution functions, so this has to be done from ground up I suppose. This can be a great addition while working with some large files (with rapid additions) without starting from beginning. |
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Also feel free to create new versions of functions that are already in the standard library if you believe that your reimplementation can educate others. |
Addition of statistical and probability distribution functions
Detailed Description
I saw the Probability file in the repository and only basic operations (addition rule) to calculate probability was given. Addition to this function, we can add statistical distribution functions like Gaussian Normalization, Binomial Distribution, etc classes and provide some addition functions to incorporate the changes in basic statistical features (mean , variance, standard deviation) for each distribution.
Context
The observation of distribution functions are very much helpful in case of statistical calculations which is more advanced in case of Python but is lagging in C++.
Possible Implementation
Using basic class concept with inheritance we can easily add different distribution features and effectively calculate the statistical features using them.