:i{SSKJr SSKrSSKJr SSKJr SSKJ r SSK J r SSK J r \R"5\RR!S5SS \ R"S S S4S \4S jjrg)N) Explanation)OpChain)colors)labels)convert_ordering T shap_valuesc D URn [[U5[5(aUR [ U 55n[[U5[ 5(a URnUc[ R"U*5nOb[[U5[5(aUR [ U 55nO)[US5(d[S[U5S35eSn [X5n[ R"UR5Un URUSS2U4n X#nU RSU:a[ R"U RSU45n U SS2SUS- 24U SS2SS24'U SS2US- S24R!S5U SS2S4'[ R"U5n USUS- U SS&X$S- SR!5U S'/U SUS- QS U RSU- S-S 3Pn U n U nS nUcL["R$"5R'XyRSU-S -5 ["R("5n[ R*"U R-5SS /5unnUR/U R0SU RS-U RS- S[3UU*5[5U*U5US9 UR6R9S5 UR:R9S5 UR<SS/R?S5 UR<SS/RAU RSU- U*5 UR<SS/R?S5 URCSSS9 UREU RSU- S5 [ RF"U RS5nU nUR:RIS/UQS/UQSS9 UR:RK5SR?S5 URMSU RSS - 5 UROU 5 URQSS S!S S"9 U R0R!S5nURSU*[ RT"U5R55- S#- S$SS%9 URWUU[ RT"U5R55- U RS-S&- SS'S$U RSS(-S - S)9nUHnURYS5 M SSK-J.n UR_US*9nURa[3UU*5[5U*U5/5 ["Rb"U[3UU*5[5U*U5/US+S,S-S.9nURe[fS/S0S1S29 URhRCS3SS49 URkS5 URlR?S5 U(a["Rn"5 U$)5aJCreate a heatmap plot of a set of SHAP values. This plot is designed to show the population substructure of a dataset using supervised clustering and a heatmap. Supervised clustering involves clustering data points not by their original feature values but by their explanations. By default, we cluster using :func:`shap.utils.hclust_ordering`, but any clustering can be used to order the samples. Parameters ---------- shap_values : shap.Explanation A multi-row :class:`.Explanation` object that we want to visualize in a cluster ordering. instance_order : OpChain or numpy.ndarray A function that returns a sort ordering given a matrix of SHAP values and an axis, or a direct sample ordering given as an ``numpy.ndarray``. feature_values : OpChain or numpy.ndarray A function that returns a global summary value for each input feature, or an array of such values. feature_order : None, OpChain, or numpy.ndarray A function that returns a sort ordering given a matrix of SHAP values and an axis, or a direct input feature ordering given as an ``numpy.ndarray``. If ``None``, then we use ``feature_values.argsort``. max_display : int The maximum number of features to display (default is 10). show : bool Whether :external+mpl:func:`matplotlib.pyplot.show()` is called before returning. Setting this to ``False`` allows the plot to be customized further after it has been created. plot_width : int, default 8 The width of the heatmap plot. ax : matplotlib Axes Axes object to draw the plot onto, otherwise uses the current Axes. Returns ------- ax: matplotlib Axes Returns the :external+mpl:class:`~matplotlib.axes.Axes` object with the plot drawn onto it. Examples -------- See `heatmap plot examples `_. N__len__zUnsupported feature_order: ! InstancesrrzSum of z other featuresg?g@cgffffff?nearest)aspect interpolationvminvmaxcmapbottomleftrightTtopFbothout)axis directiongz$f(x)$ )fontsizegz#aaaaaaz--)color linestyle linewidthg?z#000000)r$r&centerg?)heightalignr$r)rPg{Gz?g?)ticksaxrfractionpadVALUE i)sizelabelpad ) labelsizelength)8values issubclasstyperapplyrnpargsorthasattr Exceptionstrr array feature_namesshapezerossumpltgcfset_size_inchesgca nanpercentileflattenimshowTminmaxxaxisset_ticks_positionyaxisspines set_visible set_bounds tick_paramsset_ylimarange set_ticks get_ticklinesset_xlim set_xlabelaxhlineplotabsbarh set_clip_on matplotlib.cmcmScalarMappable set_arraycolorbar set_labelrr- set_alphaoutlineshow)r instance_orderfeature_values feature_order max_displayrri plot_widthr-r7xlabelrA new_valuesnew_feature_values row_heightrrheatmap_yticks_posheatmap_yticks_labelsfx bar_containerbrbmcbs V/srv/projetos/modelo_ml_acdoc/venv/lib/python3.13/site-packages/shap/plots/_heatmap.pyheatmapr{ s~  F$~&00'--k&.AB$~& 44'.. N?3 D' 1 1%++K,?@ ]I . .5c-6H5IKLL F%nBNHH[667 FM    /=0@ AF#2N||A$XXv||A <= #A'8q'8$89 1crc6"1kAo&7#78<rsa$ %%'??''*     ||r|