:ikGDSrSSKrSSKrSSKJr SSKrSSKr SSK J r SSK J r SSKJr SSKJr SS KJr \ R("\R*5\ R("S 5:a\"S S 9rO\"S S9rSSSSSSSSSSSSSSS\S\R0SSSS 4SjrSrSrg)zBSummary plots of SHAP values (violin plot) across a whole dataset.N)version) gaussian_kde)DimensionError)colors)labelsz3.10 horizontal) orientationF)vertviolinz#333333Tauto FEATURE_VALUE ?cUb"S[5 [[ U55R S5(a,UnUR nUc URnUc URn[U[5(a Sn[U5eUcSnUS;aSUS3n[U5e[UR5S :wdS 5eUcUS :XaS nO[R n[U["R$5(aUc UR&nUR nO@[U[5(aUcUnSnO#Ub [UR5S :XaUcUnSnURS nUbFS nUS - URS :XaUS- n[)U5eUURS :wa [)U5eUcC[*R,"[/U5Vs/sHn[0S[U5-PM sn5nU(a[2R4"S5 UcSnU (aW[*R6"[*R8"[*R:"U5SS95nU[=U[U55*SnO5[*R>"[*R@"[=UU55S5nSnU S:Xa5[2RB"5RES[U5U-S-5 O|[ U 5[[F4;a,[2RB"5REU SU S 5 O7U b4[2RB"5RES[U5U -S-5 [2RH"SSSS9 US:XGa[/[U55Hn[2RJ"USUSSS9 M UGb'[*RL"USS2S[U524RO5S 5n[*RL"USS2S[U524RO5S5n[QU5GHunnUSS2U4n [*R<"U 5[*RR"U 5n"n!U"U!- n#[*RT"[*R<"U 5U#S-- [*RR"U 5U#S--S 5n$[*RV"U 5UU- S - :aD[YU [*RZR][U 55UU- -S - -5"U$5n%O[YU 5"U$5n%U%[*RR"U%5S!--n%USS2U4n&[*R^"[U$5S - 5n'[*R6"U 5n(Sn)Sn*Sn+Sn,[/[U$5S - 5Hn-U*[U 5:aXU$U-U U(U*:aIU+U&U(U*- n+U*S - n*U*U)- S:aU+U&U(U)-n+U)S - n)U*[U 5:aU$U-U U(U*:aMIU*U)- S:a-U+U*U)- - U'U-'[/U,5Hn.U'U-U'U-U.- S - 'M MU,S - n,M [*R`"U&5n/[cU&U/5un0n1n2[2Rd"U U/[*Rf"UU/RS5U-S"S#USS S$9 [2Rd"U [*Rh"U/5[*Rf"U[*Rh"U/5RS5U-UU0U1S#U2USS S%9 U'U0-n'U1U0- S:aU'U1U0- -n'[/[U$5S - 5HvnU%US&:dU%US -S&:dM[2Rj"U$UU$US -/UU%U-UU%US --/UU%U- UU%US -- /[Rl"U'U5S'S(9 Mx GM GO[2Rn"USS2U4[/[U554S)S*0[pDS+S,S,S,S-.D6n3U3S.H6n4U4RsU5 U4RuS/5 U4RwU5 M8 GOUS :XGa S*n5[*RT"SURSU S -5RyS5R{S05n6[*R<"U5[*RR"U5n"n![*RT"U!U"U55n7[QU5GHYunn8USS2U84n9[*R|"U9S1S29un:n;U:RSU ::aH[*R6"U:5n<[*R~"U;U<5n=[*R"U=SS5n=OU6n=U=RSS - n>[*R6"U95n<[*R^"U>U545n?[/U>5HnUU- nAU@UA- nBU?USS24==UB-ss'M [*R~"U?SS9n?S8nCU?RS5S'-UC- nD[/U>S - SS5HenU?USS24WD- nEU[2R;a"[2R"U5"UU>S - - 5OUnF[2Rj"U7UWE- UUE-UFS9S:9 Mg GM\ [2R"U!U"5 U (Ga UGb US;:wGaUS :wdU[2R;aSSKEJFnG UGRUS :waUO[2R"U5S<9nHUHRSS /5 [2R"UH[2R"5SS /S=S>9nIUIR[0S?[0S@/5 UIRUUSSA9 UIRRUSSB9 UIRwS 5 UIRRS,5 [2R"5RRSC5 [2R"5RRS/5 [2R"5RSDRS,5 [2R"5RSERS,5 [2R"5RSFRS,5 [2R"5RXfSG9 [2R"[/[U55UVs/sHnUUPM snSHSI9 [2R"5RSJSSKSLSM9 [2R"5RSNSOSP9 [2R"S[U55 [2R"[0SQSHSI9 U (a[2R"5 ggs snfs snf)RaQ Create a SHAP violin plot, colored by feature values when they are provided. Parameters ---------- shap_values : Explanation or numpy.ndarray For single output explanations, this is a matrix of SHAP values (# samples x # features). features : numpy.ndarray or pandas.DataFrame or list, optional Matrix of feature values (# samples x # features), or a ``feature_names`` list as shorthand. feature_names : list, optional Names of the features (length: # features). max_display : int, optional How many top features to include in the plot (default is 20). plot_type : {"violin", "layered_violin"}, optional What type of summary plot to produce. A "layered_violin" plot shows the distribution of the SHAP values of each variable. A "violin" plot is the same, except with outliers drawn as scatter points. color : str or None, optional Color or colormap to use for the plot. If None, a default is chosen. axis_color : str, optional Color for the plot axes. title : str or None, optional Plot title (currently unused). alpha : float, optional Opacity of the plot elements. show : bool, optional Whether :external+mpl:func:`matplotlib.pyplot.show()` is called before returning. Setting this to ``False`` allows the plot to be customized further after it has been created. sort : bool, optional Whether to sort features by the sum of their effect magnitudes. color_bar : bool, optional Whether to draw the color bar (legend). plot_size : {"auto", float, (float, float), None}, optional What size to make the plot. By default, the size is auto-scaled based on the number of features that are being displayed. Passing a single float will cause each row to be that many inches high. Passing a pair of floats will scale the plot by that number of inches. If ``None`` is passed, then the size of the current figure will be left unchanged. layered_violin_max_num_bins : int, optional Maximum number of bins for layered violin plots. color_bar_label : str, optional Label for the color bar. cmap : str or Colormap, optional Colormap to use for coloring points by feature value. color_bar_label_size : int, optional Font size for the color bar label. Default is 11. color_bar_tick_size : int, optional Font size for the color bar ticks. Default is 11. axhline_lw : float, optional Line width for horizontal lines in the plot. use_log_scale : bool, optional Whether to use a symmetric log scale for the x-axis. Examples -------- See `violin plot examples `_. NzGThe `title` argument is unused and will be removed in a future release.z Explanation'>zSViolin plots don't support multi-output explanations! Use 'shap.plots.bar` instead.r >r layered_violinzAplot_type: Expected one of ('violin','layered_violin'), received z instead.rz@Violin summary plots need a matrix of shap_values, not a vector.rcoolwarmzYThe shape of the shap_values matrix does not match the shape of the provided data matrix.zp Perhaps the extra column in the shap_values matrix is the constant offset? If so, just pass shap_values[:,:-1].FEATUREsymlogrr)axisg?rg?z#999999)xcolorzorderz#cccccc)r)yrlwdashesrcg?dz#777777 )rsalpha linewidthr)cmapvminvmaxr'cr(r)rg?r)rrpointsgffffff?F)widths showmeans showextrema showmediansbodiesnoneintT) return_countszNot enough data in bin #z for feature zD, so it'll be ignored. Try increasing the number of records to plot.gMbP?)locscalesizeg?face) facecolor edgecolorbar)r*P)axticksaspectFEATURE_VALUE_LOWFEATURE_VALUE_HIGH)r:labelpad) labelsizelengthbottomrighttopleft)r labelcolor )fontsizer rmajor)rGwidthwhichrr)rFVALUE)YwarningswarnDeprecationWarningstrtypeendswithvaluesdata feature_names isinstancelist TypeError ValueErrorlenshaperblue_rgbpd DataFramecolumnsrnparrayranger pltxscaleargsortsumabsminfliparangegcfset_size_inchestupleaxvlineaxhline nanpercentileflatten enumeratemaxlinspacestdrrandomrandnzerosisnan _trim_crangescatteronesinvert fill_betweenred_blue_no_bounds violinplotORIENTATION_KWARG set_facecolor set_edgecolor set_alpharoundastypeuniquecumsuminsertnormal colormapsget_cmapxlim matplotlib.cmcmScalarMappable set_arraycolorbargcaset_ticklabels set_labelr@ tick_paramsoutline set_visiblexaxisset_ticks_positionyaxisspinesyticksylimxlabelshow)J shap_valuesfeaturesr[ max_display plot_typer axis_colortitler(rsort color_bar plot_sizelayered_violin_max_num_bins class_names class_indscolor_bar_labelr*color_bar_label_sizecolor_bar_tick_size axhline_lw use_log_scaleshap_expemsg num_features shape_msgi feature_order row_heightpos global_low global_highshapsshap_minshap_maxrngxsdsrY smooth_values sort_inds trailing_pos leading_pos running_sum back_filljknan_maskr+r,cvalspartspc num_x_pointsbinsx_pointsindfeaturercountsorder thesebinsnbinsysr:bin_size_if_evenrelative_bin_sizerPr9r r-rmcbsJ U/srv/projetos/modelo_ml_acdoc/venv/lib/python3.13/site-packages/shap/plots/_violin.pyr r s5 b  _ast 4 &&77oo  }}H  $22M+t$$do 44RS\R]]fg {  !Q &j(jj & } ( (EOOE(BLL))  $,,M?? 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