From 50085858a068366b5d12c9daeadf697b0b2071c6 Mon Sep 17 00:00:00 2001
From: bhushan45 <bhushanshewale45@gmail.com>
Date: Tue, 12 Jun 2018 06:41:30 +0000
Subject: [PATCH] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 144 -> 141 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 158 -> 155 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 1177 -> 1527 bytes
 q01_myXGBoost/build.py                        |  41 ++++++++++++++++--
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 164 -> 161 bytes
 .../test_q01_myXGBoost.cpython-36.pyc         | Bin 2735 -> 2732 bytes
 6 files changed, 37 insertions(+), 4 deletions(-)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index 51086b4da1a1e386d393f955d9262c7aa7d047a0..308a4f6dbddad6e8565a00cc9346d3711b3304b7 100644
GIT binary patch
delta 50
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delta 53
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diff --git a/q01_myXGBoost/__pycache__/__init__.cpython-36.pyc b/q01_myXGBoost/__pycache__/__init__.cpython-36.pyc
index 05966aeff638282478e662988295264bb7158172..93b092648c8e33136f3d3150d9a991372abc8c9f 100644
GIT binary patch
delta 50
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delta 53
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diff --git a/q01_myXGBoost/__pycache__/build.cpython-36.pyc b/q01_myXGBoost/__pycache__/build.cpython-36.pyc
index 73181f184abb3f5692edf7e5c0ad410987ccc57f..c0c4cf7c0c8dd512a6bcd862b569f3afa1f524fc 100644
GIT binary patch
delta 479
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delta 312
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diff --git a/q01_myXGBoost/build.py b/q01_myXGBoost/build.py
index db3654a..c8d0c08 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
@@ -11,13 +12,45 @@
 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],
-               "colsample_bytree": [0.6, .7, .8, .9, 1]
+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]
                }
 
 
 # Write your solution here :
 
+def myXGBoost(X_train, X_test, y_train,y_test, model, param_grid, KFold=3, **kwargs):
+    if kwargs:
+        model.set_params(**kwargs)
+    gs_cv = GridSearchCV(model, param_grid=param_grid, cv=KFold, verbose=0)
+    gs_cv.fit(X_train, y_train)
+    best_params = gs_cv.best_params_
+    y_pred = gs_cv.predict(X_test)
+    accuracy = accuracy_score(y_pred, y_test)
+
+    return accuracy, best_params
+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]
+               }
+
+
+def myXGBoost(X_train, X_test, y_train,y_test, model, param_grid, KFold=3, **kwargs):
+    if kwargs:
+        model.set_params(**kwargs)
+    gs_cv = GridSearchCV(model, param_grid=param_grid, cv=KFold, verbose=0)
+    gs_cv.fit(X_train, y_train)
+    best_params = gs_cv.best_params_
+    y_pred = gs_cv.predict(X_test)
+    accuracy = accuracy_score(y_pred, y_test)
+
+    return accuracy, best_params
+#accuracy, best_params = myXGBoost(X_train, X_test, y_train, y_test, XGBClassifier(seed=9), param_grid1, 3)
+
+#print (accuracy)
+#print (best_params)
+
 
diff --git a/q01_myXGBoost/tests/__pycache__/__init__.cpython-36.pyc b/q01_myXGBoost/tests/__pycache__/__init__.cpython-36.pyc
index 8dfa19746ecb1c2e54b3d4e38d3120d3c14b1bbf..bb512d165f65aa411ecdf7623100ef3da559be66 100644
GIT binary patch
delta 50
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delta 53
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diff --git a/q01_myXGBoost/tests/__pycache__/test_q01_myXGBoost.cpython-36.pyc b/q01_myXGBoost/tests/__pycache__/test_q01_myXGBoost.cpython-36.pyc
index c955d7698a30194533d9b9a8226e098f1b275830..96292f5b890d03701e7a92bc693bfdd9424ee95f 100644
GIT binary patch
delta 425
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delta 421
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