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 [4]:
run_dir = Path(run_dir)
In [5]:
reporting_info = ReportingInfo(run_dir=run_dir, notebooks=notebooks, static=static)
reporting_info.display()

Last run: Tuesday 22 March, 2022 at 18:24:40.

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 60.10.0
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 29m 13s

Hyperparameters match benchmarks

time elapsed
estimator
sklearnex_PCA 3s
sklearnex_Ridge 6s
sklearn_PCA 13s
sklearnex_KMeans_short 15s
sklearn_Ridge 17s
sklearnex_LinearRegression 22s
sklearnex_KNeighborsClassifier_brute_force 22s
sklearnex_LogisticRegression 33s
sklearn_KMeans_short 34s
sklearn_TSNE 35s
sklearnex_TSNE 36s
sklearn_LinearRegression 1m 11s
sklearnex_KNeighborsClassifier_kd_tree 1m 13s
sklearnex_KMeans_tall 1m 28s
sklearn_LogisticRegression 1m 39s
sklearn_KMeans_tall 1m 41s
sklearn_HistGradientBoostingClassifier_best 3m 38s
sklearn_KNeighborsClassifier_kd_tree 5m 22s
sklearn_KNeighborsClassifier_brute_force 15m 15s

Hyperparameters optimization benchmarks

time elapsed
estimator
lightgbm 10m 2s
sklearn_HistGradientBoostingClassifier 10m 4s
catboost_lossguide 10m 15s
xgboost 10m 18s
catboost_symmetric 13m 11s