ModelFitting

class jdaviz.configs.default.plugins.model_fitting.model_fitting.ModelFitting(*args, **kwargs)[source] [edit on github]

Public constructor

Attributes Summary

`available_comps`	An instance of a Python list.
`comp_label`	A trait for unicode strings.
`comp_label_auto`	A boolean (True, False) trait.
`comp_label_default`	A trait for unicode strings.
`comp_label_invalid_msg`	A trait for unicode strings.
`comp_selected`	A trait for unicode strings.
`component_models`	An instance of a Python list.
`cube_fit`	A boolean (True, False) trait.
`dialog`	A boolean (True, False) trait.
`display_order`	A boolean (True, False) trait.
`eq_error`	A boolean (True, False) trait.
`form_valid_model_component`	A boolean (True, False) trait.
`model_equation`	A trait for unicode strings.
`model_equation_auto`	A boolean (True, False) trait.
`model_equation_default`	A trait for unicode strings.
`model_equation_invalid_msg`	A trait for unicode strings.
`poly_order`	Mixin to handle empty integer field.
`spatial_subset_items`	An instance of a Python list.
`spatial_subset_selected`	A trait for unicode strings.
`template_file`

Methods Summary

`vue_add_model`([event])	Add the selected model and input string ID to the list of models
`vue_apply`(event)
`vue_fit_model_to_cube`(args, *kwargs)
`vue_model_fitting`(args, *kwargs)	Run fitting on the initialized models, fixing any parameters marked as such by the user, then update the displayed parameters with fit values
`vue_register_spectrum`(event)	Add a spectrum to the data collection based on the currently displayed parameters (these could be user input or fit values).
`vue_remove_model`(event)

Attributes Documentation

template_file = ('/home/docs/checkouts/readthedocs.org/user_builds/jdaviz/envs/v2.10.0/lib/python3.9/site-packages/jdaviz/configs/default/plugins/model_fitting/model_fitting.py', 'model_fitting.vue')

Methods Documentation

vue_add_model(event={})[source] [edit on github]: Add the selected model and input string ID to the list of models

vue_model_fitting(*args, **kwargs)[source] [edit on github]: Run fitting on the initialized models, fixing any parameters marked as such by the user, then update the displayed parameters with fit values

vue_register_spectrum(event)[source] [edit on github]: Add a spectrum to the data collection based on the currently displayed parameters (these could be user input or fit values).