From f93c0b827e31d6e57c71fb8dd274c6f4948161ec Mon Sep 17 00:00:00 2001
From: swapnilrt <swapnil13488@gmail.com>
Date: Mon, 13 Nov 2017 19:02:35 +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
 q02_param2/build.py                        |  14 ++++++++++++++
 q03_xgboost/build.py                       |  15 +++++++++++++++
 8 files changed, 37 insertions(+), 3 deletions(-)

diff --git a/__init__.pyc b/__init__.pyc
index 800b98fc1211bdd53dcefbfbba98671d8a62d668..3d2016f75dd66178bf395fce1b3fa47849e9c9fe 100644
GIT binary patch
delta 71
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delta 83
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diff --git a/q01_myXGBoost/__init__.pyc b/q01_myXGBoost/__init__.pyc
index dcfccf77730cd8d473ebdac1587e4e826458fef7..f87edd5aaf5b62dd8688b928c0509bec0cfad20b 100644
GIT binary patch
delta 85
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mQ&ROK(v$M@i%a4Qit@8klS}jq4GiORD<j;UK%)8+yA%Q1>K-Qm

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..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..10b4c8ff7598b444f5ee791c9f0290b141533dda 100644
GIT binary patch
delta 733
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diff --git a/q01_myXGBoost/tests/__init__.pyc b/q01_myXGBoost/tests/__init__.pyc
index 741145589c3be462dbde60e99b7672af30034eec..3e0a59acdd640b2ec72c34fd15aa4f0d0eb1145f 100644
GIT binary patch
delta 91
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delta 103
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diff --git a/q01_myXGBoost/tests/test_q01_myXGBoost.pyc b/q01_myXGBoost/tests/test_q01_myXGBoost.pyc
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GIT binary patch
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diff --git a/q02_param2/build.py b/q02_param2/build.py
index 156fe17..bdfc40b 100644
--- a/q02_param2/build.py
+++ b/q02_param2/build.py
@@ -3,6 +3,8 @@
 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 +21,15 @@
 
 # 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/q03_xgboost/build.py b/q03_xgboost/build.py
index fc75b96..29976cc 100644
--- a/q03_xgboost/build.py
+++ b/q03_xgboost/build.py
@@ -3,6 +3,7 @@
 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 +15,17 @@
 
 # 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

From 7d2da851a971b38a774bcd743640a131f383f4ba Mon Sep 17 00:00:00 2001
From: swapnilrt <swapnil13488@gmail.com>
Date: Mon, 13 Nov 2017 19:03:47 +0000
Subject: [PATCH 2/3] Done

---
 q02_param2/__init__.pyc              | Bin 168 -> 156 bytes
 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
 4 files changed, 0 insertions(+), 0 deletions(-)

diff --git a/q02_param2/__init__.pyc b/q02_param2/__init__.pyc
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diff --git a/q02_param2/tests/__init__.pyc b/q02_param2/tests/__init__.pyc
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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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From 8b82faf6e0707583ca909a79ce44a6f31ea4b3e2 Mon Sep 17 00:00:00 2001
From: swapnilrt <swapnil13488@gmail.com>
Date: Mon, 13 Nov 2017 19:05:01 +0000
Subject: [PATCH 3/3] Done

---
 q03_xgboost/__init__.pyc               | Bin 169 -> 157 bytes
 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
 4 files changed, 0 insertions(+), 0 deletions(-)

diff --git a/q03_xgboost/__init__.pyc b/q03_xgboost/__init__.pyc
index 4fb1998dc3d2d50ff37e3ee669c3f2f126125ccc..31c4ef9eae5668b2acfff8eaee85fb622231f288 100644
GIT binary patch
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delta 95
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diff --git a/q03_xgboost/build.pyc b/q03_xgboost/build.pyc
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GIT binary patch
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diff --git a/q03_xgboost/tests/__init__.pyc b/q03_xgboost/tests/__init__.pyc
index c17cec459d51c331a15e5ab5803f59769a09f558..ce75c1886c0d470fad0e219b72f1082df3c08f3d 100644
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