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Visualization methods

Methods for visualizing evaluations results:

Radar Plot[[evaluate.visualization.radar_plot]]

evaluate.visualization.radar_plot[[evaluate.visualization.radar_plot]]

Source

Create a complex radar chart with different scales for each variable Source: https://towardsdatascience.com/how-to-create-and-visualize-complex-radar-charts-f7764d0f3652

Parameters:

data (List[dict]) : the results (list of metric + value pairs). E.g. data = [{"accuracy": 0.9, "precision":0.8},{"accuracy": 0.7, "precision":0.6}]

names (List[dict]) : model names. E.g. names = ["model1", "model 2", ...]

invert_range (List[dict], optional) : the metrics to invert (in cases when smaller is better, e.g. speed) E.g. invert_range=["latency_in_seconds"]

config (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.

fig (matplotlib.figure.Figure, optional) : figure used to plot the radar plot.

Returns:

matplotlib.figure.Figure

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