from sklearn_benchmarks.reporting.utils import ReportingInfo
from pathlib import Path
import pandas as pd
from sklearn_benchmarks.utils import default_results_directory
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)

sklearn_benchmarks reporting

results_dir = default_results_directory()

# Parameters
results_dir = "./results/local/20220315T181132/"

results_dir = Path(results_dir)

reporting_info = ReportingInfo(results_dir=results_dir)
reporting_info.display()

Last run: Tuesday 15 March, 2022 at 18:11:33.

Notebooks

scikit-learn-intelex (Intel® oneAPI) vs. scikit-learn benchmarks

ONNX Runtime (Microsoft) vs. scikit-learn benchmarks

Gradient boosting: randomized HPO benchmarks

Benchmark environment information

System

python	3.8.12 | packaged by conda-forge | (default, Jan 30 2022, 23:42:07) [GCC 9.4.0]
executable	/usr/share/miniconda/envs/sklbench/bin/python
machine	Linux-5.11.0-1028-azure-x86_64-with-glibc2.10

Dependencies

	version
pip	22.0.4
setuptools	60.9.3
sklearn	1.0.2
numpy	1.22.3
scipy	1.8.0
Cython	None
pandas	1.4.1
matplotlib	3.5.1
joblib	1.1.0
threadpoolctl	3.1.0

Threadpool

	user_api	internal_api	prefix	filepath	version	threading_layer	architecture	num_threads
0	blas	openblas	libopenblas	/usr/share/miniconda/envs/sklbench/lib/libopenblasp-r0.3.18.so	0.3.18	pthreads	SkylakeX	2
1	openmp	openmp	libgomp	/usr/share/miniconda/envs/sklbench/lib/libgomp.so.1.0.0	None	NaN	NaN	2

CPU count

cpu_count	2
physical_cpu_count	2

Time report

Total time elapsed: 1h 22m 2s

Hyperparameters match benchmarks

	time elapsed
estimator
sklearnex_DBSCAN	2s
sklearnex_PCA	3s
sklearnex_Ridge	6s
sklearnex_KMeans_short	8s
sklearn_DBSCAN	12s
sklearn_PCA	14s
sklearn_KMeans_short	14s
sklearn_Ridge	15s
sklearnex_KNeighborsClassifier_brute_force	22s
sklearnex_LinearRegression	24s
sklearnex_TSNE	30s
sklearnex_LogisticRegression	31s
sklearn_TSNE	34s
sklearn_LogisticRegression	53s
sklearn_LinearRegression	1m
sklearnex_KNeighborsClassifier_kd_tree	1m 13s
sklearnex_KMeans_tall	1m 15s
sklearn_KMeans_tall	1m 31s
sklearn_HistGradientBoostingClassifier_best	2m 6s
sklearn_KNeighborsClassifier_kd_tree	4m 49s
sklearn_KNeighborsClassifier_brute_force	13m 39s

Hyperparameters optimization benchmarks

	time elapsed
estimator
xgboost	10m 6s
sklearn_HistGradientBoostingClassifier	10m 12s
lightgbm	10m 18s
catboost_symmetric	10m 34s
catboost_lossguide	10m 51s