reno.explorer.Explorer

class reno.explorer.Explorer(model, **params)

Bases: PyComponent

The overall wrapper for the interactive model explorer.

Parameters:

model (reno.model.Model) – The SD model to generate a UI for.

Methods

__init__(model, **params)
clone(**params)	Makes a copy of the object sharing the same parameters.
embed([max_states, max_opts, json, ...])	Renders a static version of a panel in a notebook by evaluating the set of states defined by the widgets in the model.
from_dict(data)	Deserilalize data from previously saved session via to_dict().
get_root([doc, comm, preprocess])	Returns the root model and applies pre-processing hooks
run_posterior()	Run pymc on the model to get posteriors.
run_prior()	Run pymc on the model for priors only.
save(filename[, title, resources, template, ...])	Saves Panel objects to file.
select([selector])	Iterates over the Viewable and any potential children in the applying the Selector.
servable([title, location, area, target])	Serves the object or adds it to the configured pn.state.template if in a panel serve context, writes to the DOM if in a pyodide context and returns the Panel object to allow it to display itself in a notebook context.
server_doc([doc, title, location])	Returns a serveable bokeh Document with the panel attached
set_running(running)	Set the status of the spinney things in various subcomponents when things are happening.
show([title, port, address, ...])	Starts a Bokeh server and displays the Viewable in a new tab.
to_dict()	Serialize all info for current session so can be saved to file.

Attributes

align
aspect_ratio
css_classes
design
height
height_policy
loading
margin
max_height
max_width
min_height
min_width
name
param
sizing_mode
styles
stylesheets
tags
visible
width
width_policy

__annotations__ = {}

__module__ = 'reno.explorer'

__panel__()

static from_dict(data)

Deserilalize data from previously saved session via to_dict().

Parameters:

data (dict)

Return type:

Explorer

name = 'Explorer'

run_posterior()

Run pymc on the model to get posteriors.

run_prior()

Run pymc on the model for priors only.

set_running(running)

Set the status of the spinney things in various subcomponents when things are happening.

Parameters:

running (bool)

to_dict()

Serialize all info for current session so can be saved to file.

Return type:

dict