/HyperInteractive

Interactive exploration of hyperparameter tuning results with ipywidget and plotly in jupyter notebook.

Primary LanguagePython

HyperInteractive

Interactive ipywidget and plotly framework for exploration hyperparamter tuning results

Hyper Explore Demo

Requirements

plotly == 4.12.0
ipywidgets == 7.5.1

Usage

from HyperInteractive import hyperExplore

data = pd.read_csv('./HyperInteractive/demo/modeltune.csv')

initial_axis = ['best_test_loss','best_test_corr']
initial_surface_axis = ['mu','alpha','best_test_corr']
legend_group = 'model'

tab = hyperExplore(data,initial_axis,initial_surface_axis,legend_group)
tab