import{s as j,n as G,o as O}from"../chunks/scheduler.7da89386.js";import{S as U,i as W,g as f,s as l,r as y,A as B,h,f as a,c as r,j as H,u as C,x as I,k as S,y as F,a as o,v as D,d as E,t as P,w as L}from"../chunks/index.20910acc.js";import{D as J}from"../chunks/Docstring.c9f3fc15.js";import{H as N,E as K}from"../chunks/getInferenceSnippets.7cf363b6.js";function Q(R){let n,_,g,x,s,b,d,V="Methods for visualizing evaluations results:",$,c,z,i,p,M,m,A=`Create a complex radar chart with different scales for each variable
Source: <a href="https://towardsdatascience.com/how-to-create-and-visualize-complex-radar-charts-f7764d0f3652" rel="nofollow">https://towardsdatascience.com/how-to-create-and-visualize-complex-radar-charts-f7764d0f3652</a>`,w,u,T,v,k;return s=new N({props:{title:"Visualization methods",local:"visualization-methods",headingTag:"h1"}}),c=new N({props:{title:"Radar Plot",local:"evaluate.visualization.radar_plot",headingTag:"h2"}}),p=new J({props:{name:"evaluate.visualization.radar_plot",anchor:"evaluate.visualization.radar_plot",parameters:[{name:"data",val:""},{name:"model_names",val:""},{name:"invert_range",val:" = []"},{name:"config",val:" = None"},{name:"fig",val:" = None"}],parametersDescription:[{anchor:"evaluate.visualization.radar_plot.data",description:`<strong>data</strong> (<code>List[dict]</code>) &#x2014; the results (list of metric + value pairs).
E.g. data = [{&#x201C;accuracy&#x201D;: 0.9, &#x201C;precision&#x201D;:0.8},{&#x201C;accuracy&#x201D;: 0.7, &#x201C;precision&#x201D;:0.6}]`,name:"data"},{anchor:"evaluate.visualization.radar_plot.names",description:`<strong>names</strong> (<code>List[dict]</code>) &#x2014; model names.
E.g. names = [&#x201C;model1&#x201D;, &#x201C;model 2&#x201D;, &#x2026;]`,name:"names"},{anchor:"evaluate.visualization.radar_plot.invert_range",description:`<strong>invert_range</strong> (<code>List[dict]</code>, optional) &#x2014; the metrics to invert (in cases when smaller is better, e.g. speed)
E.g. invert_range=[&#x201C;latency_in_seconds&#x201D;]`,name:"invert_range"},{anchor:"evaluate.visualization.radar_plot.config",description:`<strong>config</strong> (<code>dict</code>, optional)  &#x2014; a specification of the formatting configurations, namely:</p>
<ul>
<li>
<p>rad_ln_args (<code>dict</code>, default <code>{&quot;visible&quot;: True}</code>): The visibility of the radial (circle) lines.</p>
</li>
<li>
<p>outer_ring (<code>dict</code>, default <code>{&quot;visible&quot;: True}</code>): The visibility of the outer ring.</p>
</li>
<li>
<p>angle_ln_args (<code>dict</code>, default <code>{&quot;visible&quot;: True}</code>): The visibility of the angle lines.</p>
</li>
<li>
<p>rgrid_tick_lbls_args (<code>dict</code>, default <code>{&quot;fontsize&quot;: 12}</code>): The font size of the tick labels on the scales.</p>
</li>
<li>
<p>theta_tick_lbls (<code>dict</code>, default <code>{&quot;fontsize&quot;: 12}</code>): The font size of the variable labels on the plot.</p>
</li>
<li>
<p>theta_tick_lbls_pad (<code>int</code>, default <code>3</code>): The padding of the variable labels on the plot.</p>
</li>
<li>
<p>theta_tick_lbls_brk_lng_wrds (<code>bool</code>, default <code>True</code> ): Whether long words in the label are broken up or not.</p>
</li>
<li>
<p>theta_tick_lbls_txt_wrap (<code>int</code>, default <code>15</code>): Text wrap for tick labels</p>
</li>
<li>
<p>incl_endpoint (<code>bool</code>, default <code>False</code>): Include value endpoints on calse</p>
</li>
<li>
<p>marker (<code>str</code>, default <code>&quot;o&quot;</code>): the shape of the marker used in the radar plot.</p>
</li>
<li>
<p>markersize (<code>int</code>, default <code>3</code>): the shape of the marker used in the radar plot.</p>
</li>
<li>
<p>legend_loc (<code>str</code>, default <code>&quot;upper right&quot;</code>): the location of the legend in the radar plot. Must be one of: &#x2018;upper left&#x2019;, &#x2018;upper right&#x2019;, &#x2018;lower left&#x2019;, &#x2018;lower right&#x2019;.</p>
</li>
<li>
<p>bbox_to_anchor (<code>tuple</code>, default <code>(2, 1)</code>: anchor for the legend.</p>
</li>
</ul>`,name:"config"},{anchor:"evaluate.visualization.radar_plot.fig",description:"<strong>fig</strong> (<code>matplotlib.figure.Figure</code>, optional) &#x2014; figure used to plot the radar plot.",name:"fig"}],source:"https://github.com/huggingface/evaluate/blob/v0.4.6/src/evaluate/visualization.py#L138",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>matplotlib.figure.Figure</code></p>
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