From d80cff3451e9a4783aa41b36e764af8063761746 Mon Sep 17 00:00:00 2001
From: samir0719 <sameer_0719@yahoo.com>
Date: Mon, 13 Nov 2017 15:48:58 +0000
Subject: [PATCH 1/3] Done

---
 __init__.pyc                               | Bin 157 -> 145 bytes
 q01_myXGBoost/__init__.pyc                 | Bin 171 -> 159 bytes
 q01_myXGBoost/build.py                     |  12 +++++++-----
 q01_myXGBoost/build.pyc                    | Bin 1930 -> 1391 bytes
 q01_myXGBoost/tests/__init__.pyc           | Bin 177 -> 165 bytes
 q01_myXGBoost/tests/test_q01_myXGBoost.pyc | Bin 2530 -> 2511 bytes
 6 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/__init__.pyc b/__init__.pyc
index 800b98fc1211bdd53dcefbfbba98671d8a62d668..0474085905764d6b06534d63a1f4df67e1780c48 100644
GIT binary patch
delta 71
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aDXIDq=}Gzd#U=3tMfq8&$tC&|YZL+Y#TPpO

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..7b9218601efd4d67325814a00d8b13240fbd1875 100644
GIT binary patch
delta 85
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delta 97
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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..2fe75bf 100644
--- a/q01_myXGBoost/build.py
+++ b/q01_myXGBoost/build.py
@@ -1,3 +1,4 @@
+# %load q01_myXGBoost/build.py
 import pandas as pd
 from xgboost import XGBClassifier
 from sklearn.model_selection import train_test_split
@@ -17,9 +18,10 @@
                "colsample_bytree": [0.6, .7, .8, .9, 1]
                }
 
-
+model=XGBClassifier(seed=9)
+def myXGBoost(X_train,X_test,y_train,y_test,model,param_grid1,kFold=3):
+    gs=GridSearchCV(model,param_grid1,cv=kFold)
+    gs.fit(X_train,y_train)
+    y_pred=gs.predict(X_test)
+    return accuracy_score(y_test,y_pred),gs.best_params_
 # Write your solution here :
-
-
-
-
diff --git a/q01_myXGBoost/build.pyc b/q01_myXGBoost/build.pyc
index 2b98a8abb7197284a857905ac59673fc9bb9b868..e4dd502db4e434ed83302e7ffc6888addf8a1849 100644
GIT binary patch
delta 558
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diff --git a/q01_myXGBoost/tests/__init__.pyc b/q01_myXGBoost/tests/__init__.pyc
index 741145589c3be462dbde60e99b7672af30034eec..57cbd652749e7687e60c38a743efaf7c98f04817 100644
GIT binary patch
delta 91
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sDXIDq=}Gzd#U=3tMfq8&$tC)Q28Qvul@abvAW{92)Z&t2{fQG40V+ry?EnA(

delta 103
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yQY#Zn@^fPfit@8klS^VE(v$M@i%a5R{6Yi6_}t0}cPEf&Oi5~SNpZ}?7DWJt!6wN7

diff --git a/q01_myXGBoost/tests/test_q01_myXGBoost.pyc b/q01_myXGBoost/tests/test_q01_myXGBoost.pyc
index 54780c7a0849f5388ca7211031c025d7b7abae97..f91cc558d484b85121e5860bdadb018231fca632 100644
GIT binary patch
delta 545
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delta 610
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nM!MENE4w4#%!+SoZxf~pecy_D%%Ug-zUU{mw?tF?A${@(+xw@V


From c8fc259f78f2d51f4881e4b59821a8893ed04f62 Mon Sep 17 00:00:00 2001
From: samir0719 <sameer_0719@yahoo.com>
Date: Mon, 13 Nov 2017 18:07:11 +0000
Subject: [PATCH 2/3] Done

---
 q02_param2/__init__.pyc                | Bin 168 -> 156 bytes
 q02_param2/build.py                    |  81 ++++++++++++++++++-------
 q02_param2/build.pyc                   | Bin 1318 -> 2029 bytes
 q02_param2/tests/__init__.pyc          | Bin 174 -> 162 bytes
 q02_param2/tests/test_q02_param2.pyc   | Bin 2462 -> 2425 bytes
 q03_xgboost/__init__.pyc               | Bin 169 -> 157 bytes
 q03_xgboost/build.py                   |  36 ++++++-----
 q03_xgboost/build.pyc                  | Bin 1068 -> 1228 bytes
 q03_xgboost/tests/__init__.pyc         | Bin 175 -> 163 bytes
 q03_xgboost/tests/test_q03_xgboost.pyc | Bin 2035 -> 2001 bytes
 10 files changed, 80 insertions(+), 37 deletions(-)

diff --git a/q02_param2/__init__.pyc b/q02_param2/__init__.pyc
index fae1a21213b073a08d0544b24569cad9776893f0..7bd9c5beee1eb2de47c66e39294a97366f52c772 100644
GIT binary patch
delta 82
zcmZ3%IERsg`7<w<#cs~1i5#YOt_%ze`WgATsrto<xtT=<=7yH~;rT_`#RZAUsrt$J
lDXIDq=}Gzd#U=3tMfq8&$tC)Q21fA(iA9OIM*0)m6#*A+8x{Zn

delta 94
zcmbQkxPp;``7<w9NY|Oji5#Y0feZ``&Q>v@#i>QbF^NeTnZ+5Y*)cAu#n~nK1u^MG
rsg;Q(`MEI#Mfq8&$t5un=}Gzd#U=4DexZR;d_iJSVy;ol#A-zV8Ra64

diff --git a/q02_param2/build.py b/q02_param2/build.py
index 156fe17..5246c99 100644
--- a/q02_param2/build.py
+++ b/q02_param2/build.py
@@ -1,21 +1,60 @@
-# 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
-
-# load data
-dataset = pd.read_csv('data/loan_clean_data.csv')
-# split data into X and y
-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)
-
-param_grid2 = {"gamma": [0, 0.05, 0.1, 0.3, 0.7, 0.9, 1],
-               "reg_alpha": [0, 0.001, 0.005, 0.01, 0.05, 0.1],
-               "reg_lambda": [0.05, 0.1, 0.5, 1.0]
-               }
-
-
-# Write your solution here :
-
+
+# %load q02_param2/build.py
+# 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
+
+# load data
+dataset = pd.read_csv('data/loan_clean_data.csv')
+# split data into X and y
+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)
+
+param_grid2 = {"gamma": [0, 0.05, 0.1, 0.3, 0.7, 0.9, 1],
+               "reg_alpha": [0, 0.001, 0.005, 0.01, 0.05, 0.1],
+               "reg_lambda": [0.05, 0.1, 0.5, 1.0]
+               }
+
+model = XGBClassifier(seed=9)
+
+# 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]
+               }
+    cc_score,bestParam = myXGBoost(X_train, X_test, y_train, y_test,model,param_grid1,3)
+    #print(bestParam)
+    #dic ={}
+
+    #updatePara = {'subsample': 0.8, 'colsample_bytree': 0.7, 'max_depth': 2, 'min_child_weight': 4}
+
+    param_g={}
+    for k, v in bestParam.items():
+        #print(k,v)
+        param_g[k]=[v]
+
+    #print(param_g)
+
+    #updateParam = {'subsample': [0.8], 'colsample_bytree': [0.7], 'max_depth': [2], 'min_child_weight': [4]}
+
+    updateParam=param_g.copy()
+    updateParam.update(param_grid)
+    #print(updateParam)
+    cc_score2,bestParam2= myXGBoost(X_train, X_test, y_train, y_test,model,updateParam,3)
+
+    #print(cc_score2,bestParam2)
+    update_best_param={k: v for k, v in bestParam2.items() if k not in param_g}
+    return (cc_score2.item(),update_best_param)
+
+
+# accuracy1, best_params1 =param2(X_train, X_test, y_train, y_test,model,param_grid2)
+# print(type(accuracy1))
+# print( type(best_params1))
+# print(accuracy1)
+# print(best_params1)
diff --git a/q02_param2/build.pyc b/q02_param2/build.pyc
index 1db061f35e6b828eb3f3bc02020a1744270c8966..ee6b17e7b8eb594f995676e528cefe028c203e1f 100644
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diff --git a/q02_param2/tests/__init__.pyc b/q02_param2/tests/__init__.pyc
index 058448ae2818a81e9f21309e6d78402a4c1b04a8..fa2775189fbcf663500616155c0149787a24b860 100644
GIT binary patch
delta 88
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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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delta 475
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diff --git a/q03_xgboost/__init__.pyc b/q03_xgboost/__init__.pyc
index 4fb1998dc3d2d50ff37e3ee669c3f2f126125ccc..4226a0154c4c4566732e4ad73a3afd09d5cc54f3 100644
GIT binary patch
delta 83
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delta 95
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diff --git a/q03_xgboost/build.py b/q03_xgboost/build.py
index fc75b96..07285de 100644
--- a/q03_xgboost/build.py
+++ b/q03_xgboost/build.py
@@ -1,16 +1,20 @@
-# Default imports
-from sklearn.model_selection import train_test_split
-from xgboost import XGBClassifier
-import pandas as pd
-from sklearn.metrics import accuracy_score
-
-# load data
-dataset = pd.read_csv('data/loan_clean_data.csv')
-# split data into X and y
-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 :
-
+# %load q03_xgboost/build.py
+# Default imports
+from sklearn.model_selection import train_test_split
+from xgboost import XGBClassifier
+import pandas as pd
+from sklearn.metrics import accuracy_score
+
+# load data
+dataset = pd.read_csv('data/loan_clean_data.csv')
+# split data into X and y
+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)
+def xgboost(X_train, X_test, y_train, y_test):
+    model=XGBClassifier(seed=9,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)
+    y_pred=model.predict(X_test)
+    return accuracy_score(y_test,y_pred)
+# Write your solution here :
diff --git a/q03_xgboost/build.pyc b/q03_xgboost/build.pyc
index fab0e81b5cf21cee7460897e50911351debb52bc..e6af28cf941ead496efc6296bd328231e7a09e29 100644
GIT binary patch
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delta 529
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diff --git a/q03_xgboost/tests/__init__.pyc b/q03_xgboost/tests/__init__.pyc
index c17cec459d51c331a15e5ab5803f59769a09f558..3d393b2afda307431879a1a3ff083c5c829d7f77 100644
GIT binary patch
delta 89
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delta 131
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diff --git a/q03_xgboost/tests/test_q03_xgboost.pyc b/q03_xgboost/tests/test_q03_xgboost.pyc
index 921bfbfcc335bbf67f8c0926d15af52c24e63024..6d42619bb83c75d86c33c50797400c9aa71fe86d 100644
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delta 644
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xV$z*OvwDJ|X^&q8v&!Z5vS)?wyZo8JcHQe)^63@fWp@3no~i!-Dcpy?xj)!Oy8r+H


From ba2c7fbc86bbd793f1e6b5947305e9437a80e740 Mon Sep 17 00:00:00 2001
From: samir0719 <sameer_0719@yahoo.com>
Date: Mon, 13 Nov 2017 18:10:09 +0000
Subject: [PATCH 3/3] Done

---
 q03_xgboost/build.py  |  25 +++++++++++++++++++------
 q03_xgboost/build.pyc | Bin 1228 -> 1023 bytes
 2 files changed, 19 insertions(+), 6 deletions(-)

diff --git a/q03_xgboost/build.py b/q03_xgboost/build.py
index 07285de..f720e00 100644
--- a/q03_xgboost/build.py
+++ b/q03_xgboost/build.py
@@ -1,3 +1,4 @@
+
 # %load q03_xgboost/build.py
 # Default imports
 from sklearn.model_selection import train_test_split
@@ -11,10 +12,22 @@
 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)
-def xgboost(X_train, X_test, y_train, y_test):
-    model=XGBClassifier(seed=9,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)
-    y_pred=model.predict(X_test)
-    return accuracy_score(y_test,y_pred)
+
+
 # Write your solution here :
+def xgboost(X_train, X_test, y_train, y_test,**kwargs):
+            model = XGBClassifier(seed=9,**kwargs)
+            #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)
+            y_pred=model.predict(X_test)
+            acc_score=accuracy_score(y_test,y_pred)
+            return acc_score.item()
+
+            
+
+# accuracy=xgboost(X_train, X_test, y_train, y_test,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)
+# print(accuracy)
+# print(type(accuracy))
diff --git a/q03_xgboost/build.pyc b/q03_xgboost/build.pyc
index e6af28cf941ead496efc6296bd328231e7a09e29..638f85250b2baa8ba2b1e7f46ecae49defd3ac0d 100644
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