Interactive ipywidget and plotly framework for exploration hyperparamter tuning results
plotly == 4.12.0
ipywidgets == 7.5.1
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