scikit-learn-intelex
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intel
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
With https://github.com/IntelPython/daal4py/pull/84 daal4py is used to compute logistic loss and its gradient with solver='newton-cg'. This causes ``` python -m daal4py -m pytest --pyargs sklearn.linear_model.tests.test_logistic::test_dtype_match -ra ``` to fail, so it...
Using scikit-learn 0.20.3, run ``` python -m daal4py -m pytest --disable-warnings --pyargs sklearn.preprocessing.tests.test_discretization::test_nonuniform_strategies ``` The test fails for strategy='kmeans' for 5 bins. The following script replicates the issue: ```python #...
Analyze underlying types of arrays passed to compute() method. Usually we pass numpy arrays into compute() method, but don`t care about the underlying type of this array. So if we...
It'd be nice to get performance warnings in certain cases, such as * repeated use of non-contiguous ndarrays leads to repeated conversion to DAAL tables * different input types than...
# Description Please include a summary of the change. For large or complex changes please include enough information to introduce your change and explain motivation for it. Changes proposed in...
**Describe the bug** Right now daal4py operates on MPI's COMM_WORLD and so cannot operate in non-default setups. For example, when using MPI_Commspawn to create processes we currently cannot use daal4py....
In version 0.24 of Scikit-learn there is support for the "positive" parameter for linear regression. In case positive = True, the algorithm calls the Scikit-learn implementation. Estimated change in conformance...
Scikit-learn test for Ridge regression "test_ridge_cv_individual_penalties" shows the difference between the regression coefficients of scikit-learn and daal4py on small datasets, for multi-target problem. Coefficients matches for first label only. For...