feyn.plots.interactive

This module contains interactive counterparts of some plotting functions for interactive IPython environments (such as Jupyter).

function interactive_activation_flow

def interactive_activation_flow(
    model: feyn._model.Model,
    data: pandas.core.frame.DataFrame
)

EXPERIMENTAL: For IPython kernels only.
Interactively plot a model displaying the flow of activations.

Requires installing ipywidgets, and enabling the extension in jupyter notebook or jupyter lab.
Jupyter notebook: jupyter nbextension enable --py widgetsnbextension
Jupyter lab: jupyter labextension install @jupyter-widgets/jupyterlab-manager

Arguments:
    model {feyn.Model} -- A feyn.Model we want to describe given some data.
    data {DataFrame} -- A Pandas DataFrame to compute on.

Returns:
    SVG -- SVG of the model summary.

function interactive_model_response_1d

def interactive_model_response_1d(
    model: feyn._model.Model,
    data: pandas.core.frame.DataFrame,
    input_constraints: Dict[str, Union[Iterable, float, str]] = None
)

Plot an interactive version of the feyn.plots.plot_model_response_1d (model.plot_response_1d),
    that allows you to change the response variable `by`.

Arguments:
    model {feyn.Model} -- The model to calculate the response for
    data {DataFrame} -- The data to be analyzed

Keyword Arguments:
    input_constraints {dict} -- The constraints on the remaining model inputs (default: {None})