In [1]:
from sklearn_benchmarks.reporting.utils import ReportingInfo
from pathlib import Path
import pandas as pd
from sklearn_benchmarks.utils import default_run_dir
from sklearn_benchmarks.config import DEFAULT_NOTEBOOKS
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)

sklearn_benchmarks reporting

In [2]:
run_dir = default_run_dir()
notebooks = DEFAULT_NOTEBOOKS
static = False
In [3]:
# Parameters
static = True
notebooks = [
    "scikit_learn_intelex_vs_scikit_learn",
    "onnx_vs_scikit_learn",
    "gradient_boosting",
]
run_dir = "./results/local/20220316T125727/"
In [4]:
run_dir = Path(run_dir)
In [5]:
reporting_info = ReportingInfo(run_dir=run_dir, notebooks=notebooks, static=static)
reporting_info.display()

Last run: Wednesday 16 March, 2022 at 12:57:28.

Notebooks

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

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 42m 1s

Hyperparameters match benchmarks

time elapsed
estimator
sklearnex_PCA 3s
sklearnex_Ridge 8s
sklearnex_KMeans_short 10s
sklearn_PCA 14s
sklearn_KMeans_short 17s
sklearn_Ridge 18s
sklearnex_KNeighborsClassifier_brute_force 28s
sklearnex_LinearRegression 29s
sklearn_TSNE 35s
sklearnex_LogisticRegression 35s
sklearnex_TSNE 37s
sklearn_LogisticRegression 1m 10s
sklearn_LinearRegression 1m 20s
sklearnex_KMeans_tall 1m 24s
sklearnex_KNeighborsClassifier_kd_tree 1m 33s
sklearn_KMeans_tall 1m 48s
sklearn_HistGradientBoostingClassifier_best 4m 34s
sklearn_KNeighborsClassifier_kd_tree 5m 57s
sklearn_KNeighborsClassifier_brute_force 17m 19s

Hyperparameters optimization benchmarks

time elapsed
estimator
xgboost 11m 4s
lightgbm 11m 38s
catboost_lossguide 12m 12s
sklearn_HistGradientBoostingClassifier 12m 28s
catboost_symmetric 15m 40s