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Programmatic Experience
visualizations
Visualization in Polyaxon - Experimentation
Polyaxon comes with a powerful and customizable visualization system for driving visualization in the dashboard or programmatically.
concepts
polyaxon
experimentation
experiments
architecture
experimentation

Overview

Polyaxon has a programmatic experience for generating visualizations for single runs or multi-run:

Single run

You can use the module Polyplot which requires Plotly express to drive visualizations inside a notebook or jupyter lab.

the module comes with functions to load events, and visualize them:

from polyaxon.client import RunPlot

client = RunPlot(run_uuid="...")
client.get_metrics(names="loss,accuracy")
client.line()
client.bar()
...

run-dashboards-df-tidy

run-dashboards-metric

HiPlot

You can use the module MultiRunPlot which requires hiplot to create interactive parallel coordinates inside a notebook or jupyter lab.

from polyaxon.client import RunClient

client = RunClient()
exp = client.get_runs_as_hiplot(query="metrics.loss:<0.1")
exp.display()

run-dashboards-hiplot1

run-dashboards-hiplot2