sklearn Performance ResultsArch = Xeon
Mode = Parallel
| Ratio | ||
|---|---|---|
| Prefix | intelpython3 | stockpython3 |
| Function | ||
| Correlation | 0.999336 | 0.020413 |
| Cosine | 0.899877 | 0.033171 |
| Kmeans.fit | 0.719729 | 0.023353 |
| Kmeans.predict | 0.975053 | 0.019425 |
| Linear.fit | 0.959801 | 0.005379 |
| Ridge.fit | 0.996001 | 0.019824 |
| SVM.fit | 0.741014 | 0.002354 |
| SVM.predict | 1.045275 | 0.001674 |
| CPU | Intel(R) Xeon(R) Platinum 8280 CPU @ 2.70GHz |
|---|---|
| RAM | 256 GB DDR4 @ 2666 MHz |
| OS | CentOS Linux release 7.3.1611 (Core) |
| Kernel | 3.10.0-514.el7.x86_64 |
| Name | Version | Build | Channel |
|---|---|---|---|
| cython | 0.29.6 | py36h7b7c402_0 | intel |
| daal | 2019.4 | intel_243 | intel |
| daal4py | 2019.4 | py36h7b7c402_6 | intel |
| icc_rt | 2019.4 | intel_243 | intel |
| impi_rt | 2019.4 | intel_243 | intel |
| intel-openmp | 2019.4 | intel_243 | intel |
| llvmlite | 0.27.1 | py36_0 | intel |
| mkl | 2019.4 | intel_243 | intel |
| mkl_fft | 1.0.13 | py36h7b7c402_1 | intel |
| mkl_random | 1.0.4 | py36h7b7c402_1 | intel |
| numba | 0.42.1 | np116py36_2 | intel |
| numexpr | 2.6.8 | py36_2 | intel |
| numpy | 1.16.2 | py36h7b7c402_0 | intel |
| numpy-base | 1.16.2 | py36_0 | intel |
| python | 3.6.8 | 7 | intel |
| rdtsc | 0.2.1 | <pip> | |
| scikit-learn | 0.20.3 | py36h7b7c402_5 | intel |
| scipy | 1.2.1 | py36h7b7c402_3 | intel |
| tbb | 2019.6 | intel_243 | intel |
| tbb4py | 2019.6 | py36_intel_0 | intel |
| Name | Version | Build | Channel |
|---|---|---|---|
| Cython | 0.29.10 | <pip> | |
| joblib | 0.13.2 | <pip> | |
| llvmlite | 0.29.0 | <pip> | |
| numba | 0.44.0 | <pip> | |
| numexpr | 2.6.9 | <pip> | |
| numpy | 1.16.4 | <pip> | |
| python | 3.6.8 | h0371630_0 | |
| rdtsc | 0.2.1 | <pip> | |
| scikit-learn | 0.21.2 | <pip> | |
| scipy | 1.3.0 | <pip> |