Metadata-Version: 2.1
Name: ml-dash
Version: 0.0.7
Summary: A Beautiful Visualization Dashboard For Machine Learning
Home-page: https://github.com/episodeyang/ml_dash
Author: Ge Yang
Author-email: yangge1987@gmail.com
License: UNKNOWN
Keywords: ml_logger,ml-logger,ml dash,ml-dash,ml_dashdashboard,machine learning,vis_server,logging,debug,debugging
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Requires-Dist: typing
Requires-Dist: numpy
Requires-Dist: termcolor
Requires-Dist: params-proto
Requires-Dist: cloudpickle
Requires-Dist: uvloop (==0.8.1)
Requires-Dist: requests
Requires-Dist: requests-futures
Requires-Dist: hachiko
Requires-Dist: sanic
Requires-Dist: sanic-cors
Requires-Dist: sanic-graphql
Requires-Dist: graphene
Requires-Dist: graphql-core
Requires-Dist: graphql-relay
Requires-Dist: dill
Requires-Dist: ruamel.yaml

ML-Dash, A Beautiful Visualization Dashboard for Machine Learning
=================================================================

`Downloads <http://pepy.tech/project/ml-dash>`__

ML-dash replaces visdom and tensorboard. It is the single real-time job
visualization dashboard for machine learning.

**Parallel Coordinates** **Aggregating Over Multiple Runs** **Create
Movies out of images**

Usage
-----

To **install** ``ml_dash``, do:

.. code-block:: bash

   pip install ml-dash

**Note: the server accepts requests from ``localhost`` only, by
default.** In order to

.. code-block:: bash

   python -m ml_dash.main --log-dir=<your-log-dir> --host=0.0.0.0 --port=<your-port-number> --workers=4

It is the easiest if you setup a long-lived instrument server with a
public ip for yourself or the entire lab.

Implementation Notes
~~~~~~~~~~~~~~~~~~~~

See `https://github.com/episodeyang/ml_dash/blob/master/notes/README.md <https://github.com/episodeyang/ml_dash/blob/master/notes/README.md>`__


