From 9d36e9a2c2e02c57badeb7afd2aa220d540b36b3 Mon Sep 17 00:00:00 2001 From: mhjensen Date: Fri, 9 Nov 2018 12:12:28 +0100 Subject: [PATCH] typos --- .../html/._DecisionTrees-bs008.html | 2 +- .../html/DecisionTrees-reveal.html | 2 +- .../html/DecisionTrees-solarized.html | 2 +- doc/pub/DecisionTrees/html/DecisionTrees.html | 2 +- .../ipynb/ipynb-DecisionTrees-src.tar.gz | Bin 213 -> 213 bytes .../pdf/DecisionTrees-minted.pdf | Bin 349640 -> 349643 bytes doc/src/DecisionTrees/DecisionTrees.do.txt | 2 +- 7 files changed, 5 insertions(+), 5 deletions(-) diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs008.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs008.html index 1bb5385b0..83adb5cf9 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs008.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs008.html @@ -187,7 +187,7 @@ of features \( p \) is not too large.

Next, we repeat the process, looking for the best predictor and best cutpoint in order to split the data -further so as to minimize the RSS within each of the resulting +further so as to minimize the MSE within each of the resulting regions. However, this time, instead of splitting the entire predictor space, we split one of the two previously identified regions. We now have three regions. Again, we look to split one of these three regions diff --git a/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html b/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html index cac499a88..923147354 100644 --- a/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html +++ b/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html @@ -522,7 +522,7 @@ of features \( p \) is not too large.

Next, we repeat the process, looking for the best predictor and best cutpoint in order to split the data -further so as to minimize the RSS within each of the resulting +further so as to minimize the MSE within each of the resulting regions. However, this time, instead of splitting the entire predictor space, we split one of the two previously identified regions. We now have three regions. Again, we look to split one of these three regions diff --git a/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html b/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html index 1ed6d33a6..bd38d76e7 100644 --- a/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html +++ b/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html @@ -490,7 +490,7 @@ of features \( p \) is not too large.

Next, we repeat the process, looking for the best predictor and best cutpoint in order to split the data -further so as to minimize the RSS within each of the resulting +further so as to minimize the MSE within each of the resulting regions. However, this time, instead of splitting the entire predictor space, we split one of the two previously identified regions. We now have three regions. Again, we look to split one of these three regions diff --git a/doc/pub/DecisionTrees/html/DecisionTrees.html b/doc/pub/DecisionTrees/html/DecisionTrees.html index 564feebc5..1b62ed366 100644 --- a/doc/pub/DecisionTrees/html/DecisionTrees.html +++ b/doc/pub/DecisionTrees/html/DecisionTrees.html @@ -495,7 +495,7 @@ of features \( p \) is not too large.

Next, we repeat the process, looking for the best predictor and best cutpoint in order to split the data -further so as to minimize the RSS within each of the resulting +further so as to minimize the MSE within each of the resulting regions. However, this time, instead of splitting the entire predictor space, we split one of the two previously identified regions. We now have three regions. Again, we look to split one of these three regions diff --git a/doc/pub/DecisionTrees/ipynb/ipynb-DecisionTrees-src.tar.gz b/doc/pub/DecisionTrees/ipynb/ipynb-DecisionTrees-src.tar.gz index ef06327d30391976db6d3c95dfc0a0e3a0a6654c..887113c3e688e09df1c4ada77840bcd12eac16e2 100644 GIT binary patch literal 213 zcmb2|=3tnR{WO|^`R)0GUd)C9$3D*cE%KSgyKMVzTkf|9n-wmJd)!?qz1Gt=sNnv+ zEv&XL*LM8)A8W^E*EX~L>)BU%u}{C-?3POQ*&lI2b9!yL-{qKRn|JY)-qw4)?ESA} z9h%P9&mD<*zeNA|lw6(VJ?CFd{*_<7bldH}8=imas(B{AQ8ISY?cbXH2fO(rw=3>B z;UynibTEHW)~Y*+pQ0t3mIXU6+9w+uvawFcnn!Q?qPyq$4Q*V1&sy~}|33=@GWdUx Ny(5ELnL&er0RXM6W;Xx; literal 213 zcmb2|=3pq7ej3fd{Pz68EG9#NV}QnW+J3WTWVs)O(iM<_j>CC#%uCZ-ZcJE(B-ZjZp zU&ga`X2;IEp7DN~wQ3Po>zB>Tik%njn;R3du}C-ZCroPTJ1TvtRo&5ToTO*Lr%*Jb1<%#Cdm(!=eK3C$!!y;b%`7V~{pWfen@r}_7 ztyP{RX7PTz(AFxSW{WiO%GhM_ezW)?`f9ndK8gC~xY{&JtD~oyDaG;FHpPE>X-%|y z!=$!cpW1G@(oyw@^peTLL zip^B!;OhZc`DeXt+Wu4*eYt;LW=RCg8lOj156{#_RfkU(t((K~)E9l#)Wsfp60xec zOC6O(SKaSRCiP9|Uw74}gwKC16UxV>$)d7-=6R3s$fKqkh61T*`wADpZ7j5kV}HrH zNmZ6>=DgX$?m>3_4n+cz*_K6rYD=be$6_tbs$Lq8jFEIqHj<8(1&p)GWM;a+cQfJ~ zb7c~%V(2^>bPs#Uq6YW+vFy}x<(!S)?}QbQ;-RU9!@dQfKRh$@C})4#O~dbf@iWPb z--_^&00ZV5Nv!bN!PP+!V!H)?n;I6?(xu+Wm|a;*cL4Qi zy)FT}jA^_M;R9a9ZWzIhV_R4!HtZw6+K0~-K#R6P;C+h>fMkbrz_;!Q6YWvL z_{N}tXT7P`048MBrqN?nFukXPS`r|MP?t~KxNnOZ=FOvBDRX~pPc1Oq^2_;%aXv<@ z4>!%z=^(U|IQq69PUdn$saIOd!4Ri9jUHg+=9$}aEP@=QAVBa*d(LUk@YeO^ky~`- z;mM3(qecBwuI^9OepAu$0u{hZQ{xe#7B%`jLKf|0B~qQ-3@jcBJgoAj5=xRp>2Ss9 zAn>TU1?LZAQICJEPy3>kiw-2%!W({rOD|%kVKuk*%yIKGZvrUAt}Hgvtfg_R2n(T; zX1x#(yBKj2M^Ba9noA{-pt6hQVD_?#l}q7xP8$T(_sp!7D~YYD=4aO&N*=R4;T}c# zIyx~W>ULrc;{_-SWl@)+9sItKt)S@>n~1B->fOr=<8ptmT$b}TzNNcqqo&;uzfSf8 z&+2g8mj}4Ku$^8$@y)biT=5$FNJwB<=?I_s^=w<|^=Z_z>*1hf5KbOOl>2gh9)WA! zxFIe}RAL?P0F}g`A#Ru{?GuHh$-s{?AYY^^_cp@;&@Fe1l~xWOBk>04G4jshN%mfcAV8-GwSTi%t57+4p4j zGePx?Dr809y|4wBrpmY}H~*0S=}6dKCFxYydS;(!2~-TWd8K3JQq4V4#4{Y^%6h~* z^|`fXGFj7bFRRD%Xs`0=g4>zp9Jv6p+P`P!0n2{`u4_C&(qslhc$Nz)!RXWa~kpQRe;z*{;Ij1t~p(|;#&lG0* znlSyZ66R!`D`EZ!ZqgjsVwLEDp*c}Ib>`*d*!7n) z^B4t6@Zub8%mA@0*F=L%&>KuA>sT|I#wwkpi%};t3kjR%7YbvtRtlbsnXDC{XGbCe zyMzWCVuDx)&?NE9kz1AdVQ|pS<&vo^cn>LXd~*Xl(aIz?+5j(Gnqo&%tAfOvj0D*+tjEe{!O4BruyBWZhjA_Pi?95 z6QsX=Jv4AA!wdo(3DKT*7&LiGWU%cZ2YzT5oE>5cdW-lxRCRTz{v-YFvBxvEbIfZ& zcz~&`mRx+KVS0i(4$kOHZl%o=x^#aNEln^nLYu_@-}x-+B6n9+4}+Hbfi$+#hRaU~@1Vofe`-INg91JX;$ zE(}2|Whv@SbD+c)CLlmg4?{n?Fc|P3upvvflD}-)>&YlkJ|{MYOob#x4;3a{j+_9g zhBzJ58|;c-WiYHY>Kq@I;w68c(>`TLX;gIHb`-Zm`^VV2T6z>RwmJ6Iq1dzc2m($? z!0J}o)EZF5nWRv@S!Ra!ooP}h*`Q@-gLs6FxtQa_D~b(}lcpDAZp4lOZ0KrF2Xrql zVxVv0r$f-Q&fQsjSq!it0m>VnB5eFvR4tPzO9#(gvEQza`=TbGLYIH1UD=k`CeOuS z8_^{*U}8Y=e1^$8PbGVJ$>ixzGI?gsySu5sOhP4ri3};RI2P5REb1XAbah4J44C4P zZQ04Ss5{AOY(u7Fl#GQqNp6=PGT`Ys1J1dS7Yq^xL_VFY{AoFdIbV0YCu<;<)su;D zI9UTPfPutLrSJhn5X^r}_u7g!S019SizW4q#M3a$S(SiSJs$Q(a$kJQF1<8Nmw_hN z?3{d-mnKum(x307&HBE#w+`yar_-%hmsvJKtfbAxkepM_U|+y(OUBl19Ks`9LEQ($ zx>>~98;G?T<=TEtV(h|8z3^~8#rJ;=huSKmheXK@)Un?yebj$Y4YC&o#$*sN8L=-| z-eGBl(uYmYMyit{&6W@71HVe{7CDu1A&n}&E!8;2rwn68#mmPb6$75hFDE)0ep?sP zkP1Pl7}Yo6;0+xKZRM9!)r%E|CKofX>}(@R;RJM*>x#?FWV{CxKcI-L?CG#HSztqO z#$vFc7(C~Q8w-E3O^0xG&Lzzh%n>?N0?E3O>=MMF+{4l)Jh8cUVp zujR-7&2_4)Eye%I!3pf8{<|wLy&5iNaTbiS@SzT5uCAG#)VXLDT;rT6w*eqmJtfJX zO_KbC(d6=EVT)-ZZWyQP5-PxO(I4M9`<|Q&R4#CsM4Nx2FGBTbC_N^U6$DSb8&Baz zAsJBv5Wau+HB+9de#cC>NzF77NF+lgW~P>8Yzo0vK3Lt;J``|5MVLzYK8^m;pew}w z5SNYGH=)o|g~D%jD2a%FNOV0{*qk^<4*yNqV>x&zE9rBoxa4TGYDcBxbKQ83bK{hE zZd5mhm0f>63UpH!#P3qLAGOf919Hr6l!OPOu?ST&~(Zz7T)rV<9x2Shg; zsf4W{q|Escs?o<->vhdd_Tw0$-cUh9MC1Zuc#c4v z2N353V#Or>Qv@1(?LA$4reNlQM9;df6!J-^dwwnW(c!NZpi~%PIJyPR+p-deS5A=6 z#)wo3^jWwIa+S)>TMpYKUd;*GMNN3a*C9lJ_MwoBiIt2AhIITJ&PlqQgt+I|y5ZU7 zkSBiw3;KbC=51OTey*G&5XD%{nIG-JH!ybkdq{9KKBY$exAs&IMQT2=+hyvDBCo@T zRwm9yKiJ^!2(y+J=x1fW;bJ<_NUNC9j{}DP9jYF7Bpx^rGA0H73$dZoNTT}_s#{~Y zzOTs(fVXDblPNXwqY*p<4`6#*lx5IL<{W>1&y=pU&Xq|-tf#sz5vN64@vktNjUqSY z4;uRUiT_>+zp9|(138jvO;V8#5bui)d;@BN!YQQH$%uxZ4{cB^w8+)6;e>{t^Uif$ z@JK*IF0x$N;FzS7uHftc7s-jJcnW21WOHZ(?c+JUoMc zFo%CI0f&Du0*8Mv1BZVw1h;=M1^y5zF)}eSF*GYMF()uECn*XqO>bmGVRU66C`39k zFflkWF)%qXGBGkSG`FTf1y&JKMKLrsLpMP%MmRw*ML0$|LNY@)Fhev!MKwb~HZU_n zJ|H|rF*G(qH$gB)I6*K)I7T@_GD9~oLo`7}HA6u*Ff&3vT?#KuWo~D5XdpE;HXxJn zBPf3*(#vnmQ5eSY_nrBjcF@lBHtkHOtuj^DQaYt*X-n(Ux|Pzp)F2THTNXtuNo*u% zVIyHh*s!p%vf!VP*oj1}#AQvtPdA@D=Q8Ja<~^^O*}s%oI1d-#BADC#uSRmHb+ep? zDM&97dtn_6!FJdM8(}^B5(rSk+y~MTP|xN~q%7nZZiX$; z$6O0Ey5-*JlqP6~Hpsi>6D_ntCluUDRm~Nl9ZHKkI%XmilqpcKpt?|qK$(L6oBq)r5}yoxZo_xQ5bQX8Pw`N*bfsh<~H|O3*&GA4#H8GbgRDC z>LEA`N4U67J_%E9Hk3n1@-n#qU};3+G^t<9kS#NUHq; zTxO^`SK$gn9w1zWYYcgmXdcEZ92$S=;z;jC^)8JWY0Rj`tc48FgpnqUG-0fBd+<&N z)Vuw7qLg)??N!RTFMLsIa9>=WYjl73LaE99X^m2|r@D(uEuOkwR?2(o`6H!PPyKwY z)aL2=tWv?#A8sfWJ^lBaQoASNqf*I}+<;PtCxy34ou1sir_|-i@2Es~MmjDcjsVXc zdG1Ib#4+HdBQG6!=|~^MN#Kzqj~w;Lv_PElF#2byrZdm%Ka7-dN0*;f1t1ACF$yIm HMNdWwCwh=< delta 3940 zcmV-q51a7Is};zr6|nFl0XLKJBPo9x*^cAJ@qNBRj}$U$vk!KY-n=+~o!Eel#JfQP zc>TbUI3unlQYNXHoqT<&x~h4Jn%Q`5AWv)-`>3nyWW0J<#jC&G#QglryPGe*QF0}v z$dW{@-rcXH*239zWfLcqPFC-BtDmB;)*J1TsH;z#UA@*ada4MLpH5AkZ`XfXMf+O< zHO2PawCjzG%14A31imY)ym_W^dpeX|S5^<}pWl7=#W&KeGLczj@%&h1Dc}~bk3R!3!vPZMqH3N? zROD@WcPI$d)nR_smb(HzHw1qu9@i?3isqU2J;5W3>b74BpuFiyJOIg9NfF0xj=8cT z%_L!7-vjl)yKavx0nXePd3SCKg0`o8%fqr-D~E`A?x=Lc9mxkMqlHS<^nmXc*g3{Z zC0fKVd9vsZXi1|QY5iEVV!bg&NALEG3UKjQSBzoT0Mj3y33=qRr>1|V_b&g%^NZf{ z@X;#_z@L~&a|THxGR>k5$^_H*fu$-eFsX172#ysf2;=V2G&Y^C^bkZ3pA!r`1POLg zvCYpduSV4|)-fxJhq7u3kaxUEI0ts4FDT3Dm!>G_)B8AyLE}6DsLX0ca*`og3G2jN zTQraB1kVCRLY|s9AaZ}G;f8nsF*);Wh1V9Y4k{sz8^E`&;84j^svWP{7Zpzjr9N-B z1?Vp6G+u}B0k2})ub{!HDR%Iw+;(*n=*TYUaG3zr@??1BeS-)9XL~u|TYG|y4#;7A zBc*|7wJW!vOo*zs(PNntyz_!udxi9Xs(7NoU6WU^Zx-zf-s6A%+yKH2y$mA8{YYb7 zxM|Ky2URBZJf_k{53q9gOk)-cYYswCLGbBm&OFWV)^^2-M*hmf zlMul{gZ8J`+?~tAuJqysC@8Pr8byRwRLNllAKLOs-gMG1pm@wtSjAN%lq89e;fi@d zpr~mC@`tr($F_gxL*DR32M~~OOK))LnazG#MWX{@T>nBu03_cR`HqJb4^E}mg)m8y zU5I-sMwrCWQ^~hxZX^;kb}FAY!YgYl1>M5=A>RMFZP-4!eEl-G0hi zyZtS^aLUX-@K8rFjmq`Wbpz9na~dP-Ossp zW->Wb(JU>;`$#9U>4EnP#~B|2@M-^E*atilgsy+_M3W{vD6h{v;eS%d$u=+_s2WZB zGX@uF(3>f3V1-i~&U{$h&6=KxZ{$4Q8@iwDWa_&v4~~X!yFoV@t}(fA z`1pVQ+pllu8UYMuT>8j#i^>w2+BijV7r@mC!bu8H~wU79trnIV-519g4>c#b+la2EVO^Da;l@TKknx1cQ?P@^v=W?a3;yh#9C-+ zR@>vvPd~@29ehN`s=IY0L=P4)zDfXXv{Ax@tUcIa zH)E@uuvIRw)d-zB;F-|_SLK3AAy>iSK-fGr>XXgjwxxQt8O{3Bg0f3cVsIfDSpI+H zMO9DZ?DtW1`Qi58+(gsg zyq+2u~FJzGK@Bw^3&Z#;?5R4Y_c`U2)SpJ9S-QkR99A{Y9g7g4O zTa6F#5r*XnKd}!+UkWRAmiS9I!Sa9O0*fx)yjoJ)viAJ!WI@FfKLzoJbz&@;XmSlk8HSpSvQxP`9ygrZ1j~1E{YyYEV!Jg08;jO zI+iym6u+ooXsyJM9~K-X4rPCzB9t^rFK<1{+hP1Z)~4baIj^lxU3tt86g>iit!J>f zRyNfNOmWI3lyBClBDz!Q%}Lr@*~KItRY%SC`0$Eh1I@8^w&qIi7?ce|?dgK{#A%Nw?08eVdF@{?SiT8i$j+Ao#(mcWFEzOXoE)v?H{z9w{WMdK8ZqLoe2 z^0la1u4>$eO2?=e3waXXF4tGU?N9-yTF46y2@@h`CntYe&0#6l9n+*0zIuq_#Tw{Z%O>I&vQXslV( zSbarfb?R$vzojrXi&AG1&Zorwuj!%GLdm{Raz*PX?&Ue6?*@PAnS)U&WK4?v3$}NN zTcP!#?ck(ZZqnS7fIiSG*KQG0UKh%!9NYRH$5_g+X4JfV>`O5anf!Y8qM^5K&I9fc zgpN^lMID^-BJrgBdM-Qm!Z4&}2DY7b#3h`dUB$MfHnVr$y^HU)$a~rIajnvT2J0EI zL5F7WQXsB0@Ya9!>FQEQnhMw>Oek3;tD37zzQ^q%?w1_$=AjT5HU1z-3&u6(F2xVU z$L{vB)YTLm|6~vZcHIBn7xSownpso@^HuoJ2T~W;Oi%h;eiuArsFdrVAQv;a$e&J% z{63gW=8^>xZNgy~mFiUAfI$+tmECuz)X=NnMo|xiZ2TGwK_|$tD{m zy4C~<7z=;*qhc7f+)Ze?8|;uUVKo7;mDv=JWqoe(CL#!ODn<}vKn$}H>UAqHDK##n zYW`!zC0qZp&v7-k+pbY0A!rDFy>3rG0>mlH0h4by#kwr|>Hz|u+gVy4yP=m#uRf=T z^??a-%1pq)J{P`cni3bnTtL_5{JogJ(V2zJkGLh92lOr$>vwR)A3<4a3z9Sl)(=IJ{DUd@)D# ztw5KCyTDhe*u9~&jq}yat9D*_eZ$v2MS$@!=ZcBuiV3E4^c&8Zr<@shpx3IV-C4+! zg}HzKfyD1yH@tl4oTDPLvs!XL(m`yX^z`?T5Ndo%kNWS;x$2wLB(dvl>RFT5;6n-( zr=uTi@OOkoPYdwD*zc&B4lr+3)ab_nMgIr#WHD@ztiVu_7JPV7i5B&fu7AD{b9EFoGB2M9Oe7DFB-num!24vlniq<5owm&S}VW>jO= ze?SIk!blTFnlNVF9(~XOwQj$jE7iHrmX&hu3*VIL-IrG98r&bhR%&#Aq1KB{p6V(n zHG68YTPg3US5K5$Jhl8*so?4PtWwd_pB9x`J^lBGQky5?vr@^ET)$GgC&hP49iBY6 zuhi+upJz&RXQU(IDDd2o=Z^G290y)HO7hZ?myYy7oB|#>^2kw-Obf(m4`aVqYFc?| y{{cC!aRmxxZe(+Ga%Ev{3T19&Z(?c+b97;Hba--QW(qSjI5;vn3MC~)PeuwO)Qolj diff --git a/doc/src/DecisionTrees/DecisionTrees.do.txt b/doc/src/DecisionTrees/DecisionTrees.do.txt index 08781619f..fbbb8e8bc 100644 --- a/doc/src/DecisionTrees/DecisionTrees.do.txt +++ b/doc/src/DecisionTrees/DecisionTrees.do.txt @@ -334,7 +334,7 @@ of features $p$ is not too large. Next, we repeat the process, looking for the best predictor and best cutpoint in order to split the data -further so as to minimize the RSS within each of the resulting +further so as to minimize the MSE within each of the resulting regions. However, this time, instead of splitting the entire predictor space, we split one of the two previously identified regions. We now have three regions. Again, we look to split one of these three regions