Subject: [boost] [GSOC 19] Boost.ublas project Idea
From: Amit Singh (amitsingh19975_at_[hidden])
Date: 2019-02-02 12:46:36
Hi,
My name is Amit Singh and I’m a 2nd year student.
1. I have studied last years ublas stats project and before that ublas
lacked any statistics features, I would like to take boost.ublas stats
further with
1. Linear Regression
2. Logistic Regression
3. Rigid Regression
4. Kernels ( Exponential Kernel, Gaussian Kernel, etc)
5. Correlation (Pearson product-moment correlation, Linear correlation,
etc)
2. In ublas there is no expression solver which can solve a expression and
assign the value to
variable for ex:-
A. matrix<double> m = “A^2 * (B * A^-1) + (det(A) * I)â€;
B. matrix<double> m = “A + 3†; =>[ m = A + 3*I ]
3. In ublas to modify matrix you have to iterate using for loop. I’m hoping
to create a function
similar to transform in c++ or map in javascript
1. This is my small machine learning library that I implemented in c++
https://github.com/amitsingh19975/ML
Would anybody be interested in mentoring my project for gsoc 19? or help me
to improve my project ideas.