Methods for visualizing evaluations results:
( data model_names invert_range = [] config = None fig = None )
Parameters
List[dict]
) — the results (list of metric + value pairs).
E.g. data = [{“accuracy”: 0.9, “precision”:0.8},{“accuracy”: 0.7, “precision”:0.6}]
List[dict]
) — model names.
E.g. names = [“model1”, “model 2”, …]
List[dict]
, optional) — the metrics to invert (in cases when smaller is better, e.g. speed)
E.g. invert_range=[“latency_in_seconds”]
dict
, optional) — a specification of the formatting configurations, namely:
rad_ln_args (dict
, default {"visible": True}
): The visibility of the radial (circle) lines.
outer_ring (dict
, default {"visible": True}
): The visibility of the outer ring.
angle_ln_args (dict
, default {"visible": True}
): The visibility of the angle lines.
rgrid_tick_lbls_args (dict
, default {"fontsize": 12}
): The font size of the tick labels on the scales.
theta_tick_lbls (dict
, default {"fontsize": 12}
): The font size of the variable labels on the plot.
theta_tick_lbls_pad (int
, default 3
): The padding of the variable labels on the plot.
theta_tick_lbls_brk_lng_wrds (bool
, default True
): Whether long words in the label are broken up or not.
theta_tick_lbls_txt_wrap (int
, default 15
): Text wrap for tick labels
incl_endpoint (bool
, default False
): Include value endpoints on calse
marker (str
, default "o"
): the shape of the marker used in the radar plot.
markersize (int
, default 3
): the shape of the marker used in the radar plot.
legend_loc (str
, default "upper right"
): the location of the legend in the radar plot. Must be one of: ‘upper left’, ‘upper right’, ‘lower left’, ‘lower right’.
bbox_to_anchor (tuple
, default (2, 1)
: anchor for the legend.
matplotlib.figure.Figure
, optional) — figure used to plot the radar plot.
Create a complex radar chart with different scales for each variable Source: https://towardsdatascience.com/how-to-create-and-visualize-complex-radar-charts-f7764d0f3652