Real-time dashboard for Optuna.
Project description
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 with filtering and sorting.
Alternatives
- optdash: a third-party dashboard for optuna.
Project details
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