From 627fdc82cb93b58863609f8a0f6f3e8341f6907c Mon Sep 17 00:00:00 2001
From: Vagus30 <vishwas.tejaswi@gmail.com>
Date: Wed, 24 Oct 2018 13:46:55 +0000
Subject: [PATCH] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 135 -> 145 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 151 -> 161 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 794 -> 1182 bytes
 q01_grid_search/build.py                      |  27 ++++++++++++++----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 157 -> 167 bytes
 .../test_q01_grid_search.cpython-36.pyc       | Bin 3729 -> 3738 bytes
 6 files changed, 21 insertions(+), 6 deletions(-)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index 14812de5bbb2a004d139995a9d5f098ae50a00f5..4ebc63ae3b6ffe066a768866c611f77e50d6ba0b 100644
GIT binary patch
delta 48
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delta 38
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diff --git a/q01_grid_search/__pycache__/__init__.cpython-36.pyc b/q01_grid_search/__pycache__/__init__.cpython-36.pyc
index 9413fbb035692cba6960d05692dfdb9b5cbb7e65..c4472b0659607ec718d04d817525f24f5add4695 100644
GIT binary patch
delta 48
zcmbQvxR8<En3tF9<*C+*>=v?q`WgATsrq4w>7~WS2KwRoMcKs#iOH$@$@wX%6N6j<
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delta 38
tcmZ3;IGvH*n3tDpak2bFb_-z_{fzwFRQ;0F;u3wA)Z*-t{DO%wt^my_3-<s3

diff --git a/q01_grid_search/__pycache__/build.cpython-36.pyc b/q01_grid_search/__pycache__/build.cpython-36.pyc
index dbd3e7a28645ede9c396ea197ab2e742dc768ea0..86c0dd9457730ed131dff59a913609928ebc4dcc 100644
GIT binary patch
delta 734
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delta 326
zcmbQoIg72{n3tDpaj|^#TqXvF#|%h-4ajx?;^Iv}B84G^F^3_FA(bJEF@>p_kr5)o
z6vYgbVa{R6WsPD5i?QUe<+4YygW0S=agHbsMut@8EY1|RX2vM4RIV)U6vh<BRwf`R
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diff --git a/q01_grid_search/build.py b/q01_grid_search/build.py
index 20c99a1..255d523 100644
--- a/q01_grid_search/build.py
+++ b/q01_grid_search/build.py
@@ -1,8 +1,10 @@
+# %load q01_grid_search/build.py
 # Default imports
 
 import warnings
-warnings.filterwarnings("ignore")
+warnings.filterwarnings('ignore')
 import pandas as pd
+import numpy as np
 from sklearn.model_selection import train_test_split
 from sklearn.ensemble import RandomForestClassifier
 from sklearn.model_selection import GridSearchCV
@@ -12,11 +14,24 @@
 y_bal = loan_data.iloc[:, -1]
 
 X_train, X_test, y_train, y_test = train_test_split(X_bal, y_bal, test_size=0.33, random_state=9)
-param_grid = {"max_features": ['sqrt', 4, "log2"],
-              "n_estimators": [10, 50, 120],
-              "max_depth": [40, 20, 10],
-              "max_leaf_nodes": [5, 10, 2]}
-
+param_grid = {'max_features': ['sqrt', 4, 'log2'],
+              'n_estimators': [10, 50, 120],
+              'max_depth': [40, 20, 10],
+              'max_leaf_nodes': [5, 10, 2]}
 
+#acc_score = make_scorer(accuracy_score)
 # Write your solution here :
+clf = RandomForestClassifier(random_state=9,oob_score=True)
+model = GridSearchCV(clf,param_grid,cv=3)
+def grid_search(X_train,y_train,model,param_grid,cv=3):
+    grid = GridSearchCV(estimator=clf,param_grid=param_grid,cv=3)
+    grid.fit(X_train,y_train)
+    #test_score = grid_obj.cv_results_['mean_test_score']
+    #train_score = grid_obj.cv_results_['params']
+    #param_values = sorted([str(x) for x in list(grid_obj.param_grid.items())[0][1]])
+    #param_values.sort()
+    #x = np.arange(1,len(param_values)+1)
+    return grid,grid.cv_results_['params'],grid.cv_results_['mean_test_score']
+    
+grid_search(X_train,y_train,model,param_grid,cv=3)
 
diff --git a/q01_grid_search/tests/__pycache__/__init__.cpython-36.pyc b/q01_grid_search/tests/__pycache__/__init__.cpython-36.pyc
index 5cb0753554300b5c4d0de098c675c24f802d7273..822a7c6848d3fa14cac4dfd198bea47b0203982b 100644
GIT binary patch
delta 48
zcmbQsxSWyQn3tF9&8gOj>=v>i`WgATsrq4w>7~WS2KwRoMcKs#iOH$@$@wX%6N9_~
Ddx#Kc

delta 38
tcmZ3^IG2&#n3tDpak2bFb_-!I{fzwFRQ;0F;u3wA)Z*-t{DO%w-T=>T3=aSR

diff --git a/q01_grid_search/tests/__pycache__/test_q01_grid_search.cpython-36.pyc b/q01_grid_search/tests/__pycache__/test_q01_grid_search.cpython-36.pyc
index 6061f23a0ca786fa4210816073f732a59b5c5681..211fe883e0bcf712ef056e28b88f8c4b1e283653 100644
GIT binary patch
delta 69
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delta 64
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