From 9da32bb31779f518bafab9be2b3c1776f66a23ee Mon Sep 17 00:00:00 2001
From: arushikumar <arushikumar14@gmail.com>
Date: Sun, 12 Nov 2017 17:24:26 +0000
Subject: [PATCH 1/3] Done

---
 __init__.pyc                               | Bin 157 -> 147 bytes
 q01_myXGBoost/__init__.pyc                 | Bin 171 -> 161 bytes
 q01_myXGBoost/build.py                     |  12 ++++++++----
 q01_myXGBoost/build.pyc                    | Bin 1930 -> 1509 bytes
 q01_myXGBoost/tests/__init__.pyc           | Bin 177 -> 167 bytes
 q01_myXGBoost/tests/test_q01_myXGBoost.pyc | Bin 2530 -> 2517 bytes
 6 files changed, 8 insertions(+), 4 deletions(-)

diff --git a/__init__.pyc b/__init__.pyc
index 800b98fc1211bdd53dcefbfbba98671d8a62d668..5d22c4dd65205d4cd76776a4e45a17a3692612a0 100644
GIT binary patch
delta 72
zcmbQsIGK^1`7<xqd69n;+09IC7#JAzGxBp&^%ILqi!(B_OLG&8^uzOuvWp86lT-DR
c^HWmwBhr)d^NUO33ySiyQj<&cC)Owe0BnRAiU0rr

delta 112
zcmbQtIG2%~`7<w9NY|N(>}CmW3=9m;RxzQ)sYS&xiAfom#TlvDF)pda*(Lb}G3iCA
zm5C+!xiJMr`B|ySB{31{N%{H3CGjwRe0*kJW=VX!UO{CE2hb>+-29Z%oK!nTAiEfd
F833pkC1U^p

diff --git a/q01_myXGBoost/__init__.pyc b/q01_myXGBoost/__init__.pyc
index dcfccf77730cd8d473ebdac1587e4e826458fef7..eea1dcd950ac43a820a0fafd2a564a18d6458d92 100644
GIT binary patch
delta 86
zcmZ3@xR8;Z`7<xqd69n;+0C527#JAzGxBp&^%ILqi!(B_OLG&8^uzOuvWp86lT-DR
n^HWmwBhr)d^NUO33ySiyQj<&c3k?k8b1Ng<oj{`c6T1`v1)?6j

delta 96
zcmZ3;xSElj`7<w9NY|N(>}I|p3=9m;RxzQ)sYS&xiAfom#TlvDF)pda*(Lb}G3iCA
rm5C+!xiJMr`B|ySB{31{N%{H3CGjwRp@Ct1Ze@hK6G${>VuK<8XA~oj

diff --git a/q01_myXGBoost/build.py b/q01_myXGBoost/build.py
index f000406..1d093c1 100644
--- a/q01_myXGBoost/build.py
+++ b/q01_myXGBoost/build.py
@@ -19,7 +19,11 @@
 
 
 # Write your solution here :
-
-
-
-
+def myXGBoost(X_train, X_test, y_train, y_test, model, param_grid, Kfold=3, **kwargs):
+    gridsearch=GridSearchCV(estimator=model, param_grid=param_grid, cv=Kfold, return_train_score=True)
+    gridsearch.fit(X_train,y_train)
+    best_params = gridsearch.best_params_
+    score = accuracy_score(y_test, gridsearch.predict(X_test))
+    model.set_params(**best_params)
+    return score, best_params
+    
diff --git a/q01_myXGBoost/build.pyc b/q01_myXGBoost/build.pyc
index 2b98a8abb7197284a857905ac59673fc9bb9b868..adea2ea59d4c12a34fdaf5443aeee27292ff28a1 100644
GIT binary patch
delta 658
zcma)2O;6iE5S{f$5{E`bK%%O^flHNMFdTYET#!KO!HrbJ#oE}L#7WGC-7yuCBOh|B
z)RQIt1IMbrslT9qpfheOda7#ezV(}VGxK&ozx=+n@BZj@mz&N_0>8h2&NJHf`0M_$
z@CAGr9)7zKm!fJ@bc;4Cu2_)~AV4ah^dNPh^dWVjY(eS)3fO?R?m*drIi&zf2R04}
z<}R!QKo3e%6ZN4aH7y6$UG6n+K^edoAT{v-CJwo%d>Z#2dAhQg<r1~QF0qv~GLNSw
zOVJ^k+~W=%Mqy!YV>B|mjcuZh8uA4qme6Q`ktr0q^fSp2U(h+GwsF(U#t|ow3sy#@
zS%TQ@5wYrzqJDDURxJuW#7K3>=5n2?WyDX^(5s1FrpTJbCuyd(G0Qfsk|voU3;&wg
z)ci6^2^cci3xaT_a}`Qc*jctHa%sYk+AQo!zDZP=(9H09I@X%a8$DMEhIc2YasF_9
zan8}OuDn5iz}@(kAdbYg2*fMV6ZN~+W3@}MXpf=Kz{1Ab^Ru2thZJlKJ;T4P{hzaO
RkuB>{dmvudi}r!=e*$3<niK#4

literal 1930
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zdlMeTTO9ose1q57X8D5)S-`<?7i(z#!u5QJg#^EbaQO6-{aiX{j*PaodV_3Mnt9^2
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zYG)nUe66$FZ+?66{q9dAPr<F6tFlO(mtGt4GXX(J&>(0Mv<TV+s|XygkgpP@D?c?I
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zdA&;}3vabfDFr&5PJ71g2+J1O9ax4iWBDzBm}4@6R7j~Mb~Jz`b`ZA><Xm{xhGiRO
zsKgfnqznk!hj7+mLj#tAxOuh$z6nc2q-p?XU0C9;L;O1!Qc0fsE@CCEERqZx<f&}w
zsiz{HYC9>NHYmc76zuD?PuSl@<m;)#N5*p(Ce-%Ym~e>7YGqO%krSo>uwZHox%?FJ
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zhA0Drdx6sa<MHQCTQ`=Isc}<%JpNR>V_#O|%<6^oWihU7In${hA7+!Xq${59zk2X6
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zm8nwUH$*y~fJ!k9U)BAN&;vX-@)*BJcD~1)Oq|Y<6{eg=H2w8BP;K0Wm-g1Au4X?m
z&}yj?`jQd#>9dBz<oWZImnn`r&I9A(-<6~iGrcb-^&wyDvUcy2(3JZ}c;}N`e@t0A
bs%Q_H%zt4&xGe_aUT{Zjiybj&^?H8;6{Mdj

diff --git a/q01_myXGBoost/tests/__init__.pyc b/q01_myXGBoost/tests/__init__.pyc
index 741145589c3be462dbde60e99b7672af30034eec..a7ed859c2f63650f81225d2dcb1d1247b836e099 100644
GIT binary patch
delta 92
zcmdnUxSWxl`7<xqd69n;+08ry7#JAzGxBp&^%ILqi!(B_OLG&8^uzOuvWp86lT-DR
u^HWmwBhr)d^NUO33ySiyQj<&c3k?k8b1Ng<oj{`cC8@<F#rhK`C;|Y^oFO~_

delta 102
zcmZ3^xRH^a`7<w9+k`U{+0BBZ7#J9wtztrpQ;UjY5|c7Ai!)NQV_Z^;vrF;|V$zFJ
xD-%odb7KmM^0QKtOJX9@lk)S6OX6YtLIcD2+{y@dCy;1NNosLPam>UvMF3+vCUXD)

diff --git a/q01_myXGBoost/tests/test_q01_myXGBoost.pyc b/q01_myXGBoost/tests/test_q01_myXGBoost.pyc
index 54780c7a0849f5388ca7211031c025d7b7abae97..21447967030a82d2b6043d47eefc9c68fd41437c 100644
GIT binary patch
delta 550
zcmb_XyG{Z@6g|tnSRR6a8)Ij*pc^Ql(1OH5V?!bq5`!Vgth|B?yF)?T#e&*u3ZtK3
zNBj^gOA9SbD6H&_vjh`AfScUMoOACvnUC~qT9?1$k(bQROjl*e<Z-zyZSb1BbIZc;
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zcBeP$Hym<iJ3V*MXj-IcQ;Sqvm$vP)`oOWfR+EuoE?@7Dt49X`N&+pH@N0cv+T~Ar
i;bL28W<~xh?&^FF!*6;eCDbcvo-;OA`U8{CjQlTuM3pQ6

delta 563
zcmcIfPfG$p9DVElbJf*yO{!B7ftSFNJah>vkS>Bs;9)|vS#%X!+ntNFONYG&F?8!o
zM29{}#~|txM5k`eib7w&f#2`_=Dm6IX5Oq%OP7DlRQdY*SyyGr;-*}e3Y^G0cR>Oy
z392B{KoSULgbD&+XdsZmQlLq&bUa5AijfRyE-GLdP-7+v_gr)oP~l0V8bd~a37Qp<
z16@HiR6$n}YO@3rfpUOAP<bpa&c;cBhWNaNNP$FwR%s1D-4P9r_EJ#_l3AIpuj8g6
zNPekqYTi?0<FUa*^;XL9U$xGg+DA*cae729eB1L$w>NP7fjuH;wm)L-g!Dao+GXyT
zOgwjJUoq0|_gvR!oyGp9yx$p5+qILJCCv7jPx!r2<PZ9;w9Q}j!~T{?D2e*l{AHw`
XC*Mt`iJWOCen&IU_l)%={jc^12&SCt


From 61fd808a14bf5314d2ab510f4715692361680e16 Mon Sep 17 00:00:00 2001
From: arushikumar <arushikumar14@gmail.com>
Date: Sun, 12 Nov 2017 17:30:07 +0000
Subject: [PATCH 2/3] Done

---
 q02_param2/__init__.pyc              | Bin 168 -> 158 bytes
 q02_param2/build.py                  |  16 ++++++++++++++++
 q02_param2/build.pyc                 | Bin 1318 -> 1711 bytes
 q02_param2/tests/__init__.pyc        | Bin 174 -> 164 bytes
 q02_param2/tests/test_q02_param2.pyc | Bin 2462 -> 2431 bytes
 5 files changed, 16 insertions(+)

diff --git a/q02_param2/__init__.pyc b/q02_param2/__init__.pyc
index fae1a21213b073a08d0544b24569cad9776893f0..c593879117fbd98dbafccfa0fbdb359564f03eb2 100644
GIT binary patch
delta 83
zcmZ3%IFFH?`7<xqd69n;+07i>85kJ!GxBp&^%ILqi!(B_OLG&8^uzOuvWp86lT-DR
n^HWmwBhr)d^NUO33ySiyQj<&c3k{6o3lfVGbB**TwkrYvro|m)

delta 93
zcmbQoxPp<L`7<w9NY|N(>}Fnp3=9m;RxzQ)sYS&xiAfom#TlvDF)pda*(Lb}G3iCA
qm5C+!xiJMr`B|ySB{31{N%{H3CGjwRp@C6+L1Iy2u2IayT15c)vLZJC

diff --git a/q02_param2/build.py b/q02_param2/build.py
index 156fe17..72469d9 100644
--- a/q02_param2/build.py
+++ b/q02_param2/build.py
@@ -1,7 +1,10 @@
+# %load q02_param2/build.py
 # Default imports
 from sklearn.model_selection import train_test_split
 from xgboost import XGBClassifier
+from  sklearn.model_selection import GridSearchCV
 import pandas as pd
+from sklearn.metrics import accuracy_score
 from greyatomlib.Xgboost_project.q01_myXGBoost.build import myXGBoost
 
 # load data
@@ -19,3 +22,16 @@
 
 # Write your solution here :
 
+
+def param2(X_train, X_test, y_train, y_test,model,param_grid):
+
+    param_grid1 = {"max_depth": [2, 3, 4, 5, 6, 7, 9, 11],
+                   "min_child_weight": [4, 6, 7, 8],
+                   "subsample": [0.6, .7, .8, .9, 1],
+                   "colsample_bytree": [0.6, .7, .8, .9, 1]
+                   }
+    ac,bst=myXGBoost(X_train, X_test, y_train, y_test,model,param_grid1,KFold=3)
+    m1=model.set_params(**bst)
+    h,j=myXGBoost(X_train, X_test, y_train, y_test,m1,param_grid,KFold=3)
+    #print model
+    return h,j
diff --git a/q02_param2/build.pyc b/q02_param2/build.pyc
index 1db061f35e6b828eb3f3bc02020a1744270c8966..6f40c7bfae6780e590a63ade1732528f77a04c23 100644
GIT binary patch
literal 1711
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diff --git a/q02_param2/tests/__init__.pyc b/q02_param2/tests/__init__.pyc
index 058448ae2818a81e9f21309e6d78402a4c1b04a8..b9024e40e7feeffef9d4863a04a1f5547aab4aa4 100644
GIT binary patch
delta 89
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t^HWmwBhr)d^NUO33ySiyQj<&c3k{6o3lfVGbB**%Qj1H9^(Xc!0sv=@ALRf5

delta 99
zcmZ3&xQ>yX`7<xqn(~hm+06pN85kIxtztrpQ;UjY5|c7Ai!)NQV_Z^;vrF;|V$zFJ
wD-%odb7KmM^0QKtOJX9@lk)S6OX6YtLIb1tg2bZ4T%(wh)Z&ujn2F7b0RB`ZP5=M^

diff --git a/q02_param2/tests/test_q02_param2.pyc b/q02_param2/tests/test_q02_param2.pyc
index 5e496da4cd9918db8cd602c5c9a328f34cffb4b9..b2d814499f4aaa02cd07620524a4be1b12411f1a 100644
GIT binary patch
delta 480
zcmb`CKTE?<6vfZW-zIJPR~&^d((Os1jt&Zfi$fJEQV20G*tCSi<aH<{i}?s|6~BXs
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e16hA0+fay8dkMzXZ{uDi_P>yI=BARS*5Nn&R(#0-

delta 493
zcmew_G*6hF`7<w<UFFA(?2nijIVZnjDsre{VkqHcXl7-IVPdFdW~gOhs9|8p;$o;_
zW+>riNa0{8;Q_Im85zWynHd<Nk}M1*ybLLvK*`DTndLlzY(56FT2_V>eui2$unBw&
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ltpUVHL^0K^`^SEZw}cI7No7390YO5O?{i2{-&eMrP5=@HlQ#eW


From 43bcf6993e57e4ed6c1435a6afba5a6b5a007e2c Mon Sep 17 00:00:00 2001
From: arushikumar <arushikumar14@gmail.com>
Date: Sun, 12 Nov 2017 17:31:56 +0000
Subject: [PATCH 3/3] Done

---
 q03_xgboost/__init__.pyc               | Bin 169 -> 159 bytes
 q03_xgboost/build.py                   |  16 +++++++++++++---
 q03_xgboost/build.pyc                  | Bin 1068 -> 1071 bytes
 q03_xgboost/tests/__init__.pyc         | Bin 175 -> 165 bytes
 q03_xgboost/tests/test_q03_xgboost.pyc | Bin 2035 -> 2007 bytes
 5 files changed, 13 insertions(+), 3 deletions(-)

diff --git a/q03_xgboost/__init__.pyc b/q03_xgboost/__init__.pyc
index 4fb1998dc3d2d50ff37e3ee669c3f2f126125ccc..f10e8bd035e77e0d2daec556875bdd8151cf4bb2 100644
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diff --git a/q03_xgboost/build.py b/q03_xgboost/build.py
index fc75b96..5c56f94 100644
--- a/q03_xgboost/build.py
+++ b/q03_xgboost/build.py
@@ -1,6 +1,8 @@
+# %load q03_xgboost/build.py
 # Default imports
 from sklearn.model_selection import train_test_split
 from xgboost import XGBClassifier
+from sklearn.model_selection import GridSearchCV
 import pandas as pd
 from sklearn.metrics import accuracy_score
 
@@ -10,7 +12,15 @@
 X = dataset.iloc[:, :-1]
 y = dataset.iloc[:, -1]
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=9)
-
-
 # Write your solution here :
-
+def xgboost(X_train, X_test, y_train, y_test,**kwargs):
+    model=XGBClassifier(seed=9)
+    model.set_params(**kwargs)
+    #ac,bst=myXGBoost(X_train, X_test, y_train, y_test,model,param_grid1,KFold=3)
+    #h,j=param2(X_train, X_test, y_train, y_test,model,param_grid2)
+    #return h,j
+    #print model
+    model.fit(X_train,y_train)
+    d=model.predict(X_test)
+    a=accuracy_score(y_test,d)
+    return a
diff --git a/q03_xgboost/build.pyc b/q03_xgboost/build.pyc
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diff --git a/q03_xgboost/tests/__init__.pyc b/q03_xgboost/tests/__init__.pyc
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