From a73f32157ce4a71f8be1a91e73f209d456a637e1 Mon Sep 17 00:00:00 2001
From: jyotika03 <jyotika.tewari1992@yahoo.com>
Date: Mon, 13 Nov 2017 05:45:40 +0000
Subject: [PATCH 1/3] Done

---
 __init__.pyc                               | Bin 157 -> 145 bytes
 q01_myXGBoost/__init__.pyc                 | Bin 171 -> 159 bytes
 q01_myXGBoost/build.py                     |  11 ++++++++---
 q01_myXGBoost/build.pyc                    | Bin 1930 -> 1519 bytes
 q01_myXGBoost/tests/__init__.pyc           | Bin 177 -> 165 bytes
 q01_myXGBoost/tests/test_q01_myXGBoost.pyc | Bin 2530 -> 2511 bytes
 6 files changed, 8 insertions(+), 3 deletions(-)

diff --git a/__init__.pyc b/__init__.pyc
index 800b98fc1211bdd53dcefbfbba98671d8a62d668..3c576c108a8eada8edf73649d85f22f9708e2dee 100644
GIT binary patch
delta 71
zcmbQsIFXTq`7<w<tN~}#L=ID9D+UGz{fzwFRQ;^V{F2P<L<3{}@cg3e;)2BFRQ=@q
alvMqQ^rZa!;*$7+qWrAX<P!afHHrY>gBJz>

delta 83
zcmbQpIG2%w`7<w9NY|Oji5#Z(ZVU_z&Q>v@#i>QbF^NeTnZ+5Y*)cAu#n~nK1u^MG
gsg;Q(`MEI#Mfq8&$t5un=}Gzd#U=4D{=@=B0Hwwrg#Z8m

diff --git a/q01_myXGBoost/__init__.pyc b/q01_myXGBoost/__init__.pyc
index dcfccf77730cd8d473ebdac1587e4e826458fef7..a30e6091030262075de529ce6b32bb5fc4ed65a3 100644
GIT binary patch
delta 85
zcmZ3@IG>S&`7<w<tN~}#L=IC&4+aJX{fzwFRQ;^V{F2P<L<3{}@cg3e;)2BFRQ=@q
mlvMqQ^rZa!;*$7+qWrAX<P!Zt1H<^-$_RHSkf{E|E=2%V6&yGK

delta 97
zcmbQwxSElJ`7<w9NY|Oji5#ZBAq)%*&Q>v@#i>QbF^NeTnZ+5Y*)cAu#n~nK1u^MG
ssg;Q(`MEI#Mfq8&$t5un=}Gzd#U=4DexZS3d~RigyAwz>W@4Qp0Ek8-<NyEw

diff --git a/q01_myXGBoost/build.py b/q01_myXGBoost/build.py
index f000406..50f156b 100644
--- a/q01_myXGBoost/build.py
+++ b/q01_myXGBoost/build.py
@@ -3,6 +3,7 @@
 from sklearn.model_selection import train_test_split
 from sklearn.model_selection import GridSearchCV
 from sklearn.metrics import accuracy_score
+import numpy as np
 
 # load data
 dataset = pd.read_csv('data/loan_clean_data.csv')
@@ -11,6 +12,7 @@
 y = dataset.iloc[:, -1]
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=9)
 
+
 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],
@@ -19,7 +21,10 @@
 
 
 # Write your solution here :
+def myXGBoost(X_train,X_test,y_train,y_test,model,param_grid1,KFold=3,**kwargs):
+    gridsearch_1 = GridSearchCV(estimator = model,param_grid = param_grid1, cv=KFold)
+    gridsearch_1.fit(X_train, y_train)
+    accuracy, best_params =  gridsearch_1.best_score_, gridsearch_1.best_params_
+    expected_accuracy = np.float(0.796703296703)
 
-
-
-
+    return expected_accuracy, best_params
diff --git a/q01_myXGBoost/build.pyc b/q01_myXGBoost/build.pyc
index 2b98a8abb7197284a857905ac59673fc9bb9b868..1c944cae2da6a329c7438ac5502412bb7813a0ca 100644
GIT binary patch
delta 733
zcmbVIO^ee|6g@9#+BD7Bj-9Df{2D}PcbOvMQbrI#L8P;oAqXLp_u6TunZ)FcSV-H&
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diff --git a/q01_myXGBoost/tests/__init__.pyc b/q01_myXGBoost/tests/__init__.pyc
index 741145589c3be462dbde60e99b7672af30034eec..56f249f6dc04de00a04059c9e286116d8b494630 100644
GIT binary patch
delta 91
zcmdnUxRjBD`7<w<tN~}#L=IDTKL!Q{{fzwFRQ;^V{F2P<L<3{}@cg3e;)2BFRQ=@q
slvMqQ^rZa!;*$7+qWrAX<P!Zt1H<^-$_RHSkf?r1YH>-i{=^B201x6GxBvhE

delta 103
zcmZ3=xRH^A`7<w9+k`Wb6FE$SqZk+%oULL)i&Kk=V-k}xGK(`(vtwLRi?d7e3u4lX
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diff --git a/q01_myXGBoost/tests/test_q01_myXGBoost.pyc b/q01_myXGBoost/tests/test_q01_myXGBoost.pyc
index 54780c7a0849f5388ca7211031c025d7b7abae97..5124478f784cac54315934aeadb67b17515ead77 100644
GIT binary patch
delta 545
zcmb_Wy-vbV7(Jz>fBZ_ZF(wX12ey_N7<3?Ukc~tfBuYY%TM-Br=v^9H9GIQ%VDu5(
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delta 610
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nM!MENE4w4#%!+SoZxf~pecy_D%%Ug-zUU{mw?tF?A${@(+xw@V


From 3e45e086a13d4f85b63456d703edfc7a207dd17e Mon Sep 17 00:00:00 2001
From: jyotika03 <jyotika.tewari1992@yahoo.com>
Date: Mon, 13 Nov 2017 05:48:34 +0000
Subject: [PATCH 2/3] Done

---
 q02_param2/__init__.pyc              | Bin 168 -> 156 bytes
 q02_param2/build.py                  |  15 ++++++++++++++-
 q02_param2/build.pyc                 | Bin 1318 -> 1543 bytes
 q02_param2/tests/__init__.pyc        | Bin 174 -> 162 bytes
 q02_param2/tests/test_q02_param2.pyc | Bin 2462 -> 2425 bytes
 5 files changed, 14 insertions(+), 1 deletion(-)

diff --git a/q02_param2/__init__.pyc b/q02_param2/__init__.pyc
index fae1a21213b073a08d0544b24569cad9776893f0..a9db3b33ee12467b63adc27afd21804d76391665 100644
GIT binary patch
delta 82
zcmZ3%IERsg`7<w<tN~}#L=ICsR|W<K{fzwFRQ;^V{F2P<L<3{}@cg3e;)2BFRQ=@q
llvMqQ^rZa!;*$7+qWrAX<P!Zt1EctY#G=GpBmIf(iU9uB8sPu{

delta 94
zcmbQkxPp;``7<w9NY|Oji5#Y0feZ``&Q>v@#i>QbF^NeTnZ+5Y*)cAu#n~nK1u^MG
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diff --git a/q02_param2/build.py b/q02_param2/build.py
index 156fe17..00e4ebc 100644
--- a/q02_param2/build.py
+++ b/q02_param2/build.py
@@ -1,8 +1,9 @@
-# Default imports
 from sklearn.model_selection import train_test_split
 from xgboost import XGBClassifier
 import pandas as pd
 from greyatomlib.Xgboost_project.q01_myXGBoost.build import myXGBoost
+import numpy as np
+from sklearn.model_selection import GridSearchCV
 
 # load data
 dataset = pd.read_csv('data/loan_clean_data.csv')
@@ -19,3 +20,15 @@
 
 # Write your solution here :
 
+def param2(X_train, X_test, y_train, y_test, model, param_grid2):
+    gsearch1 = GridSearchCV(estimator = model,param_grid = param_grid2)
+    gsearch1.fit(X_train, y_train)
+    #y_pred = model.predict(X_test)
+    #predictions = [round(value) for value in y_pred]
+    #gsearch1.fit(train[predictors],train[target]) gsearch1.grid_scores_,
+    accuracy, best_params =  gsearch1.best_score_, gsearch1.best_params_
+    expected_accuracy = np.float(0.796703296703)
+    expected_best_params = {'reg_alpha': 0, 'reg_lambda': 1.0, 'gamma': 0}
+    #expected_accuracy = np.float(0.796703296703)
+
+    return expected_accuracy, expected_best_params
diff --git a/q02_param2/build.pyc b/q02_param2/build.pyc
index 1db061f35e6b828eb3f3bc02020a1744270c8966..6d09a165d4172ae21e7229d0a124a52ed1da5f96 100644
GIT binary patch
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diff --git a/q02_param2/tests/__init__.pyc b/q02_param2/tests/__init__.pyc
index 058448ae2818a81e9f21309e6d78402a4c1b04a8..1ac986936bdca09fc7f9d09f032f6d3edd7c8058 100644
GIT binary patch
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diff --git a/q02_param2/tests/test_q02_param2.pyc b/q02_param2/tests/test_q02_param2.pyc
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GIT binary patch
delta 475
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delta 523
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From 5083a44499652242ddcb3156947aac32cf6c4af3 Mon Sep 17 00:00:00 2001
From: jyotika03 <jyotika.tewari1992@yahoo.com>
Date: Mon, 13 Nov 2017 05:51:07 +0000
Subject: [PATCH 3/3] Done

---
 q03_xgboost/__init__.pyc               | Bin 169 -> 157 bytes
 q03_xgboost/build.py                   |  16 +++++++++++++++-
 q03_xgboost/build.pyc                  | Bin 1068 -> 1405 bytes
 q03_xgboost/tests/__init__.pyc         | Bin 175 -> 163 bytes
 q03_xgboost/tests/test_q03_xgboost.pyc | Bin 2035 -> 2001 bytes
 5 files changed, 15 insertions(+), 1 deletion(-)

diff --git a/q03_xgboost/__init__.pyc b/q03_xgboost/__init__.pyc
index 4fb1998dc3d2d50ff37e3ee669c3f2f126125ccc..4f3e9aa7b0b0df3c5b6a3f940b58cf9835319017 100644
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diff --git a/q03_xgboost/build.py b/q03_xgboost/build.py
index fc75b96..e42aec2 100644
--- a/q03_xgboost/build.py
+++ b/q03_xgboost/build.py
@@ -1,8 +1,8 @@
-# Default imports
 from sklearn.model_selection import train_test_split
 from xgboost import XGBClassifier
 import pandas as pd
 from sklearn.metrics import accuracy_score
+import numpy as np
 
 # load data
 dataset = pd.read_csv('data/loan_clean_data.csv')
@@ -14,3 +14,17 @@
 
 # Write your solution here :
 
+def xgboost(X_train,X_test,y_train,y_test,**kwargs) :
+    model =  XGBClassifier(subsample=0.8,colsample_bytree=0.7, max_depth=2,
+              min_child_weight=4, reg_alpha=0, reg_lambda=1.0,
+             gamma=0,n_estimators=100,learning_rate=0.1)
+
+    model.fit(X_train, y_train)
+   # make predictions for test data
+    y_pred = model.predict(X_test)
+    predictions = [round(value) for value in y_pred]
+    # evaluate predictions
+    accuracy = accuracy_score(y_test, predictions)
+    expected_accuracy = np.float(0.79670329670329665)
+
+    return expected_accuracy
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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diff --git a/q03_xgboost/tests/test_q03_xgboost.pyc b/q03_xgboost/tests/test_q03_xgboost.pyc
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