optuna-dashboard

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

Usage

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

Usage (Docker)

You can also use a Docker image to run optuna-dashboard. The image only supports SQLite3, MySQL(PyMySQL), and PostgreSQL(Psycopg2).

# SQLite3
$ docker run -it --rm -p 8080:8080 -v `PWD`:/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

https://github.com/optuna/optuna-dashboard/pkgs/container/optuna-dashboard

Features

Manage studies

You can create and delete studies from Dashboard.

Visualize with interactive graphs

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

Rich trials data grid

You can walk-through trials by filtering and sorting.

Submitting patches

If you want to contribute, please check Developers Guide.