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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](https://github.com/huggingface/evaluate/blob/main/src/evaluate/visualization.py#L138)
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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