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Update readme for sklearnex #61

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Merged
merged 3 commits into from
Apr 12, 2021
Merged

Update readme for sklearnex #61

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c5774a7
add scikit-learn-intelex info
Pahandrovich Apr 12, 2021
6b9c891
fix CI
Pahandrovich Apr 12, 2021
203d5dd
Update azure-pipelines.yml
PetrovKP Apr 12, 2021
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -40,7 +40,7 @@ Create a suitable conda environment for each framework to test. Each item in the
* [**scikit-learn**](sklearn_bench#how-to-create-conda-environment-for-benchmarking)

```bash
conda create -n bench -c intel python=3.7 scikit-learn daal4py pandas
conda create -n bench -c intel python=3.7 scikit-learn scikit-learn-intelex pandas
```

* [**daal4py**](daal4py_bench#how-to-create-conda-environment-for-benchmarking)
Expand All @@ -67,7 +67,7 @@ Run `python runner.py --configs configs/config_example.json [--output-file resul

runner options:
* ``configs`` : configuration files paths
* ``no-intel-optimized`` : use no intel optimized version. Now avalible for scikit-learn benchmarks. Default is intel-optimized version.
* ``no-intel-optimized`` : using Scikit-learn without Intel(R) Extension for Scikit-learn*. Now avalible for scikit-learn benchmarks. Default starts with using Intel(R) Extension for Scikit-learn*.
* ``output-file``: output file name for result benchmarks. Default is `result.json`
* ``report``: create an Excel report based on benchmarks results. Need library `openpyxl`.
* ``dummy-run`` : run configuration parser and datasets generation without benchmarks running.
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6 changes: 3 additions & 3 deletions azure-pipelines.yml
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Expand Up @@ -6,7 +6,7 @@ jobs:
- script: |
conda update -y -q conda
export FORCE_DAAL4PY_SKLEARN=yes
conda create -q -y -n bench -c conda-forge python=3.7 pandas scikit-learn daal4py
conda create -q -y -n bench -c conda-forge python=3.7 pandas scikit-learn scikit-learn-intelex
displayName: Create Anaconda environment
- script: |
. /usr/share/miniconda/etc/profile.d/conda.sh
Expand Down Expand Up @@ -37,7 +37,7 @@ jobs:
- script: |
. /usr/share/miniconda/etc/profile.d/conda.sh
conda activate bench
python runner.py --configs configs/testing/daal4py.json
python runner.py --configs configs/testing/daal4py.json --no-intel-optimized
displayName: Run bench
- job: Linux_XGBoost_and_daal4py
pool:
Expand All @@ -50,7 +50,7 @@ jobs:
- script: |
. /usr/share/miniconda/etc/profile.d/conda.sh
conda activate bench
python runner.py --configs configs/testing/daal4py_xgboost.json
python runner.py --configs configs/testing/daal4py_xgboost.json --no-intel-optimized
displayName: Run bench
- job: Pep8
pool:
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4 changes: 2 additions & 2 deletions bench.py
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Expand Up @@ -197,10 +197,10 @@ def parse_args(parser, size=None, loop_types=(),

if not params.no_intel_optimized:
try:
from daal4py.sklearn import patch_sklearn
from sklearnex import patch_sklearn
patch_sklearn()
except ImportError:
print('Failed to import daal4py.sklearn.patch_sklearn.'
print('Failed to import sklearnex.patch_sklearn.'
'Use stock version scikit-learn', file=sys.stderr)
params.device = 'None'
else:
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