scikit-learn-intelex
scikit-learn-intelex copied to clipboard
intel
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
## Description _Add a comprehensive description of proposed changes_ _List associated issue number(s) if exist(s): #6 (for example)_ _Documentation PR (if needed): #1340 (for example)_ _Benchmarks PR (if needed): https://github.com/IntelPython/scikit-learn_bench/pull/155...
The normalizer estimator scales the samples independently by the sample's norm (l1, l2). Use the IncrementalBasicStatistics estimator to generate the sum squared data and use it for generating only the...
The sigmoid kernel converts data via tanh into a new space. This is easy difficulty, but requires significant benchmarking to find when the scikit-learn-intelex implementation provides better performance. This project...
The polynomial kernel converts data via a polynomial into a new space. This is easy difficulty, but requires significant benchmarking to find when the scikit-learn-intelex implementation provides better performance. This...
The output of EmpiricalCovariance is regularized by a shrinkage value impacted by the overall mean of the data. The goal would be to implement this estimator with post-processing changes to...
The MinMaxScaler estimator scales the data to a range set by the minimum and maximum. Use the IncrementalBasicStatistics estimator to generate the min and max to scale the data. Investigate...
The MaxAbScaler estimator scales the data by its maximum absolute value. Use the IncrementalBasicStatistics estimator to generate the min and max to scale the data. Investigate where the new implementation...
The StandardScaler estimator scales the data to zero mean and unit variance. Use the IncrementalBasicStatistics estimator to generate the mean and variance to scale the data. Investigate where the new...
The output of EmpiricalCovariance is regularized by a shrinkage value impacted by the overall mean of the data. The goal would be to implement this estimator with post-processing changes to...
## Description Introduce the new finite checker into LinearRegression and Ridge. --- PR should start as a draft, then move to ready for review state after CI is passed and...