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)r4rErIrb)rUzsk-itemz sk-estimator)rSrTrBrUrVrWrX)rprrgrsr9r4rJrt_repr_html_innerr`zipr:r0r1ru_write_estimator_htmlr.r2r3)rPrlestimator_labelestimator_label_detailsrVrW first_callrX est_blockrUdashed_wrappeddash_clsrQr9 est_infosrnrRr1 new_prefix serial_blocks rrzrz sV%i0  t 4))4I5y/****,~~//#=y'='=+9'r 'z45 y,//G-55#33E8DUUW '!$7-) ~~ OD6,- ,,iooy?U?UV '0 #C|g 6 6 ,~djjoa.@-AD w'':> 3 2326B ) x% (;!+  :;+Hse%P %  (;!+  (#C(1F .! 8 # 90 1 1///BSSUFF   OO  " "  " "  $ $!& 3)% $O5 4s J J+c &SSKJn SSKJn [ US5(dSnSnO U"U5 SnSnS US US 3n[ [ 55n[R5n[[5nURUS 9n [U5n S n SU SUS[R"U 5SU S3 n URU 5 [!UUUR"R$U SUUS9 ['[[)[*5R,S- 5S5n U R/5nSSS5 SWSUS3nURU5 UR15nUsSSS5 $!Ua SnSnGN=f=f!,(df  NT=f!,(df  g=f)aBuild a HTML representation of an estimator. Read more in the :ref:`User Guide `. Parameters ---------- estimator : estimator object The estimator to visualize. Returns ------- html: str HTML representation of estimator. Examples -------- >>> from sklearn.utils._repr_html.estimator import estimator_html_repr >>> from sklearn.linear_model import LogisticRegression >>> estimator_html_repr(LogisticRegression()) '
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