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)
results_dir = default_results_directory()
# Parameters
results_dir = "/home/parietal/mbatoul/sklbench_results/20211223T211117"
results_dir = Path(results_dir)
reporting_info = ReportingInfo(results_dir=results_dir)
reporting_info.display()
Last run: Thursday 23 December, 2021 at 21:11:17.
| python | 3.9.9 | packaged by conda-forge | (main, Dec 20 2021, 02:40:17) [GCC 9.4.0] |
|---|---|
| executable | /scratch/mbatoul/miniconda3/envs/sklbench_margaret/bin/python |
| machine | Linux-4.18.0-240.1.1.el8_3.x86_64-x86_64-with-glibc2.28 |
| version | |
|---|---|
| pip | 21.3.1 |
| setuptools | 60.0.4 |
| sklearn | 1.0.1 |
| numpy | 1.21.5 |
| scipy | 1.7.3 |
| Cython | None |
| pandas | 1.3.5 |
| matplotlib | None |
| joblib | 1.1.0 |
| threadpoolctl | 3.0.0 |
| user_api | internal_api | prefix | filepath | version | threading_layer | architecture | num_threads | |
|---|---|---|---|---|---|---|---|---|
| 0 | blas | openblas | libopenblas | /scratch/mbatoul/miniconda3/envs/sklbench_margaret/lib/libopenblasp-r0.3.18.so | 0.3.18 | pthreads | Zen | 32 |
| 1 | openmp | openmp | libgomp | /scratch/mbatoul/miniconda3/envs/sklbench_margaret/lib/libgomp.so.1.0.0 | None | NaN | NaN | 32 |
| cpu_count | 32 |
|---|