deepcave.plugins.objective.parallel_coordinates¶

# ParallelCoordinates

This module provides utilities for visualizing the parallel coordinates.

## Classes

ParallelCoordinates : Can be used for visualizing the parallel coordinates.

Classes

ParallelCoordinates()

Can be used for visualizing the parallel coordinates.

class deepcave.plugins.objective.parallel_coordinates.ParallelCoordinates[source]¶

Bases: StaticPlugin

Can be used for visualizing the parallel coordinates.

static get_filter_layout(register)[source]¶

Get the layout for the filter block.

Parameters:: register (Callable) – Method to register (user) variables. The register_input function is located in the Plugin superclass.
Returns:: The layouts for the filter block.
Return type:: List[Any]

static get_input_layout(register)[source]¶

Get the layout for the input block.

Parameters:: register (Callable) – Method to regsiter (user) variables. The register_input function is located in the Plugin superclass.
Returns:: The layouts for the input block.
Return type:: List[Any]

static get_output_layout(register)[source]¶

Get the layout for the output block.

Parameters:: register (Callable) – Method to register outputs. The register_output function is located in the Plugin superclass.
Returns:: The layouts for the output block.
Return type:: dcc.Graph

load_dependency_inputs(run, _, inputs)[source]¶

Work like ‘load_inputs’ but called after inputs have changed.

Note

Only the changes have to be returned. The returned dictionary will be merged with the inputs.

Parameters:

run – The selected run.
inputs – Current content of the inputs.

Returns:

The dictionary with the changes.

Return type:

Dict[str, Any]

load_inputs()[source]¶

Load the content for the defined inputs in ‘get_input_layout’ and ‘get_filter_layout’.

This method is necessary to pre-load contents for the inputs. So, if the plugin is called for the first time or there are no results in the cache, the plugin gets its content from this method.

Returns:: Content to be filled.
Return type:: Dict[str, Dict[str, Any]]

static load_outputs(run, inputs, outputs)[source]¶

Read in the raw data and prepare them for the layout.

Note

The passed inputs are cleaned and therefore differs compared to ‘load_inputs’ or ‘load_dependency_inputs’. Please see ‘_clean_inputs’ for more information.

Parameters:

run – The selected run.
inputs – The inputs and filter values fromt the user.
outputs – Raw output from the run.

Returns:

The output figure.

Return type:

go.Figure

static process(run, inputs)[source]¶

Return raw data based on a run and input data.

Warning

The returned data must be JSON serializable.

Note

The passed inputs are cleaned and therefore differs compared to ‘load_inputs’ or ‘load_dependency_inputs’. Please see ‘_clean_inputs’ for more information.

Parameters:

run (AbstractRun) – The run to process.
inputs (Dict[str, Any]) – The input data.

Returns:

The serialized dictionary.

Return type:

Dict[str, Any]

deepcave.plugins.objective.configuration_cube

deepcave.plugins.static

DeepCAVE Documentation

deepcave.plugins.objective.parallel_coordinates¶