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optuna-dashboard

Software License PyPI - Downloads

Real-time dashboard for Optuna. Code files were originally taken from Goptuna.

Getting Started

You can install optuna-dashboard via PyPI or Anaconda Cloud.

# PyPI
$ pip install optuna-dashboard
# Anaconda Cloud
$ conda install -c conda-forge optuna-dashboard

Then please execute optuna-dashboard command with Optuna storage URL.

$ optuna-dashboard sqlite:///db.sqlite3
Bottle v0.12.18 server starting up (using WSGIRefServer())...
Listening on http://localhost:8080/
Hit Ctrl-C to quit.
More command line options
$ optuna-dashboard -h
usage: optuna-dashboard [-h] [--port PORT] [--host HOST] [--version] [--quiet] storage

Real-time dashboard for Optuna.

positional arguments:
  storage        DB URL (e.g. sqlite:///example.db)

optional arguments:
  -h, --help     show this help message and exit
  --port PORT    port number (default: 8080)
  --host HOST    hostname (default: 127.0.0.1)
  --version, -v  show program's version number and exit
  --quiet, -q    quiet

Using an official Docker image

You can also use an official Docker image instead of setting up your Python environment. The Docker image only supports SQLite3, MySQL(PyMySQL), and PostgreSQL(Psycopg2).

$ docker run -it --rm -p 8080:8080 -v `PWD`:/app -w /app \
> ghcr.io/optuna/optuna-dashboard sqlite:///db.sqlite3
MySQL (PyMySQL)
$ docker run -it --rm -p 8080:8080 ghcr.io/optuna/optuna-dashboard mysql+pymysql://username:password@hostname:3306/dbname
PostgreSQL (Psycopg2)
$ docker run -it --rm -p 8080:8080 ghcr.io/optuna/optuna-dashboard postgresql+psycopg2://username:password@hostname:5432/dbname

Features

Manage studies

You can create and delete studies from Dashboard.

optuna-dashboard-create-delete-study

Visualize with interactive graphs

Interactive live-updating graphs for optimization history, parallel coordinate, intermediate values and hyperparameter importances.

optuna-dashboard-realtime-graph

Rich trials data grid

You can walk-through trials by filtering and sorting.

optuna-dashboard-trials-datagrid

Python Interface

run_server(storage: Union[str, BaseStorage], host: str = 'localhost', port: int = 8080) -> NoReturn

Start running optuna-dashboard and blocks until the server terminates. This function uses wsgiref module which is not intended for the production use. If you want to run optuna-dashboard more secure and/or more fast, please use WSGI server like Gunicorn or uWSGI via wsgi() function.

wsgi(storage: Union[str, BaseStorage]) -> WSGIApplication

This function exposes WSGI interface for people who want to run on the production-class WSGI servers like Gunicorn or uWSGI.

Submitting patches

If you want to contribute, please check Developers Guide.

S
Description
Real-time Web Dashboard for Optuna.
Readme MIT
16 MiB
Languages
TypeScript 59.1%
Python 38.5%
JavaScript 1.2%
HTML 0.6%
Dockerfile 0.3%
Other 0.3%