EvalML uses the standard python logging package. By default, EvalML will log INFO-level logs and higher (warnings, errors and critical) to stdout, and will log everything to evalml_debug.log in the current working directory.
INFO
evalml_debug.log
If you want to change the location of the logfile, before import, set the EVALML_LOG_FILE environment variable to specify a filename within an existing directory in which you have write permission. If you want to disable logging to the logfile, set EVALML_LOG_FILE to be empty. If the environment variable is set to an invalid location, EvalML will print a warning message to stdout and will not create a log file.
EVALML_LOG_FILE
EvalML provides a command-line interface (CLI) tool prints the version of EvalML and core dependencies installed, as well as some basic system information. To use this tool, just run evalml info in your shell or terminal. This could be useful for debugging purposes or tracking down any version-related issues.
evalml info
[1]:
!evalml info
EvalML version: 0.17.0 EvalML installation directory: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/v0.17.0/lib/python3.8/site-packages/evalml SYSTEM INFO ----------- python: 3.8.6.final.0 python-bits: 64 OS: Linux OS-release: 4.15.0-1051-aws machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: C.UTF-8 LOCALE: en_US.UTF-8 # of CPUS: 2 Available memory: 6.1G INSTALLED VERSIONS ------------------ zict: 2.0.0 xgboost: 1.2.1 woodwork: 0.0.7 widgetsnbextension: 3.5.1 wheel: 0.36.2 webencodings: 0.5.1 wcwidth: 0.2.5 urllib3: 1.26.2 traitlets: 5.0.5 tqdm: 4.55.0 tornado: 6.1 toolz: 0.11.1 threadpoolctl: 2.1.0 texttable: 1.6.3 testpath: 0.4.4 terminado: 0.9.1 tblib: 1.7.0 statsmodels: 0.12.1 sphinxcontrib-websupport: 1.2.4 sphinxcontrib-serializinghtml: 1.1.4 sphinxcontrib-qthelp: 1.0.3 sphinxcontrib-jsmath: 1.0.1 sphinxcontrib-htmlhelp: 1.0.3 sphinxcontrib-devhelp: 1.0.2 sphinxcontrib-applehelp: 1.0.2 sphinx: 3.4.1 sphinx-rtd-theme: 0.4.3 sortedcontainers: 2.3.0 snowballstemmer: 2.0.0 slicer: 0.0.3 six: 1.15.0 shap: 0.37.0 setuptools: 51.1.1 send2trash: 1.5.0 seaborn: 0.11.1 scipy: 1.5.4 scikit-optimize: 0.8.1 scikit-learn: 0.23.2 retrying: 1.3.3 requirements-parser: 0.2.0 requests: 2.25.1 regex: 2020.11.13 recommonmark: 0.5.0 readthedocs-sphinx-ext: 2.1.1 pyzmq: 20.0.0 pyyaml: 5.3.1 pytz: 2020.5 python-dateutil: 2.8.1 pyrsistent: 0.17.3 pyparsing: 2.4.7 pygments: 2.7.3 pydata-sphinx-theme: 0.4.1 pycparser: 2.20 pyarrow: 2.0.0 pyaml: 20.4.0 ptyprocess: 0.7.0 psutil: 5.8.0 prompt-toolkit: 3.0.8 prometheus-client: 0.9.0 plotly: 4.14.1 pip: 20.3.3 pillow: 8.0.1 pickleshare: 0.7.5 pexpect: 4.8.0 patsy: 0.5.1 partd: 1.1.0 parso: 0.8.1 pandocfilters: 1.4.3 pandas: 1.1.5 packaging: 20.8 numpy: 1.19.4 numba: 0.52.0 notebook: 6.1.6 nltk: 3.5 nlp-primitives: 1.1.0 networkx: 2.5 nest-asyncio: 1.4.3 nbsphinx: 0.8.0 nbformat: 5.0.8 nbconvert: 6.0.7 nbclient: 0.5.1 msgpack: 1.0.2 mock: 1.0.1 mistune: 0.8.4 matplotlib: 3.3.3 markupsafe: 1.1.1 locket: 0.2.0 llvmlite: 0.35.0 lightgbm: 3.1.1 kiwisolver: 1.3.1 kaleido: 0.1.0 jupyterlab-widgets: 1.0.0 jupyterlab-pygments: 0.1.2 jupyter-core: 4.7.0 jupyter-client: 6.1.7 jsonschema: 3.2.0 joblib: 1.0.0 jinja2: 2.11.2 jedi: 0.18.0 ipywidgets: 7.6.2 ipython: 7.19.0 ipython-genutils: 0.2.0 ipykernel: 5.4.2 imagesize: 1.2.0 idna: 2.10 heapdict: 1.0.1 graphviz: 0.15 future: 0.18.2 fsspec: 0.8.5 featuretools: 0.22.0 evalml: 0.17.0 entrypoints: 0.3 docutils: 0.14 distributed: 2020.12.0 defusedxml: 0.6.0 decorator: 4.4.2 dask: 2020.12.0 cycler: 0.10.0 commonmark: 0.8.1 colorama: 0.4.4 cloudpickle: 1.6.0 click: 7.1.2 chardet: 4.0.0 cffi: 1.14.4 certifi: 2020.12.5 category-encoders: 2.2.2 catboost: 0.24.4 bleach: 3.2.1 backcall: 0.2.0 babel: 2.9.0 attrs: 20.3.0 async-generator: 1.10 argon2-cffi: 20.1.0 alabaster: 0.7.12