The following benchmarks compare different implementations
of the same algorithm.
Benchmarks around scikit-learn
Benchmarks of toy implementations in C++, Python
Some benchmarks are available on PolynomialFeatures
at Benchmark of PolynomialFeatures + partialfit of SGDClassifier.
The following benchmarks were implemented in other
repositories. The first one measures differents way to write
the dot product in C++ using a couple of processors
optimization such as branching or
Measures branching in C++ from python
Measures a vector sum with different accumulator type
The second one looks into the implementation
of a logistic regression with python, C++ or C++ optimization
provided by other libraries.
Optimisation de code avec cffi, numba, cython
The next benchmark compares the gain obtained by
playing a criterion for decision tree regressor.
Custom Criterion for DecisionTreeRegressor