optuna-dashboard

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

Usage

You can install optuna-dashboard via pip.

$ pip install optuna-dashboard

After you installed, optuna-dashboard command is available. Please execute it 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

Features

Create and delete study

You can create and delete a study from Dashboard.

Interactive live-updating graphs

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

Rich trials data grid

You can walk-through trials by filtering and sorting.

Submitting patches

If you want to contribute, please check Developer Guide.

Alternatives

• 'optuna dashboard' subcommand: Official Optuna dashboard based on Bokeh CLI.
• ytsmiling/optdash: a third-party dashboard for optuna.