From 7f68e65c6e13cd7f5f01513e1848053d86949464 Mon Sep 17 00:00:00 2001
From: santoshmayekar <santosh.mayekar@outlook.com>
Date: Tue, 12 Jun 2018 06:54:20 +0000
Subject: [PATCH] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 150 -> 152 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 166 -> 168 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 809 -> 1122 bytes
 q01_grid_search/build.py                      |  29 +++++++-----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 172 -> 174 bytes
 .../test_q01_grid_search.cpython-36.pyc       | Bin 4199 -> 4201 bytes
 q02_fit/__pycache__/__init__.cpython-36.pyc   | Bin 158 -> 160 bytes
 q02_fit/__pycache__/build.cpython-36.pyc      | Bin 1316 -> 1566 bytes
 q02_fit/build.py                              |  44 ++++++++++++------
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 164 -> 166 bytes
 .../__pycache__/test_q02_fit.cpython-36.pyc   | Bin 2960 -> 2658 bytes
 11 files changed, 46 insertions(+), 27 deletions(-)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index 494c0e423d78629e57676c58ba01e9e4fe944241..f32997380ab4ab3fb0962176f2c234b394d64fdc 100644
GIT binary patch
delta 56
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delta 54
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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 eed5319ad7e677d36d4aa0a041666797cfc18e79..c48ee1979feea3ad6cea9b23f2fa7213ef99fb3e 100644
GIT binary patch
delta 56
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delta 54
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index cac4a0ba09e01d39b61ee5fb68a6a9cfed1ec303..7126cf3183dea8344712fa63013ca3935df7473d 100644
GIT binary patch
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diff --git a/q01_grid_search/build.py b/q01_grid_search/build.py
index 20c99a1..fa05dd1 100644
--- a/q01_grid_search/build.py
+++ b/q01_grid_search/build.py
@@ -1,22 +1,27 @@
-# Default imports
-
-import warnings
-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
 
 loan_data = pd.read_csv('data/loan_prediction.csv')
-X_bal = loan_data.iloc[:, :-1]
-y_bal = loan_data.iloc[:, -1]
+X = loan_data.iloc[:, :-1]
+y = loan_data.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_features': ['sqrt', 4, 'log2'],
+              'n_estimators': [10, 50, 120],
+              'max_depth': [40, 20, 10],
+              'max_leaf_nodes': [5, 10, 2]}
 
-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]}
+rfc = RandomForestClassifier(oob_score=True ,random_state=9)
 
+def grid_search(X_train1, y_train1,modelR,params,cv=3): 
+    GSCV_rfc = GridSearchCV(estimator=modelR, param_grid=params, cv=cv)
+    GSCV_rfc.fit(X_train1,y_train1)
+    param_list = GSCV_rfc.cv_results_['params']
+    score1 = GSCV_rfc.cv_results_['mean_test_score']
+    return GSCV_rfc,param_list,score1
 
-# Write your solution here :
 
diff --git a/q01_grid_search/tests/__pycache__/__init__.cpython-36.pyc b/q01_grid_search/tests/__pycache__/__init__.cpython-36.pyc
index 31ac32889b610935d2c1830c3823c926b02a7da2..43b7ea297cbd185d65e91469c6c098e90ed26f7e 100644
GIT binary patch
delta 56
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delta 54
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diff --git a/q02_fit/build.py b/q02_fit/build.py
index fbafb1a..8ae4522 100644
--- a/q02_fit/build.py
+++ b/q02_fit/build.py
@@ -1,27 +1,41 @@
-# Default imports
-
 import pandas as pd
-from greyatomlib.random_forest_project.q01_grid_search.build import grid_search
-from sklearn.metrics import confusion_matrix, accuracy_score, classification_report
+import numpy as np
 from sklearn.model_selection import train_test_split
 from sklearn.ensemble import RandomForestClassifier
-
+from sklearn.model_selection import GridSearchCV
+from sklearn.metrics import confusion_matrix
+from sklearn.metrics import classification_report
+from sklearn.metrics import accuracy_score
 
 loan_data = pd.read_csv('data/loan_prediction.csv')
-X_bal = loan_data.iloc[:, :-1]
-y_bal = loan_data.iloc[:, -1]
+X = loan_data.iloc[:, :-1]
+y = loan_data.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_features': ['sqrt', 4, 'log2'],
+              'n_estimators': [10, 50, 120],
+              'max_depth': [40, 20, 10],
+              'max_leaf_nodes': [5, 10, 2]}
 
-X_train, X_test, y_train, y_test = train_test_split(X_bal, y_bal, test_size=0.33, random_state=9)
-rfc = RandomForestClassifier(oob_score=True, 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]}
+rfc = RandomForestClassifier(oob_score = True,random_state=9)
 
-grid, grid_param, grid_score = grid_search(X_train, y_train, rfc, param_grid, cv=3)
+def grid_search(X_train1, y_train1,modelR,params,cv): 
+    GSCV_rfc = GridSearchCV(estimator=modelR, param_grid=params, cv=3)
+    GSCV_rfc.fit(X_train1,y_train1)
+    param_list = GSCV_rfc.cv_results_['params']
+    scoreA = GSCV_rfc.cv_results_['mean_test_score']
+    return GSCV_rfc,param_list,scoreA
 
+GSCV_rfc1,param_list1,score1 = grid_search(X_train, y_train,rfc,param_grid1,3)
 
-# Write your solution here :
+model = GSCV_rfc1.best_estimator_
+y_pred = model.fit(X_train, y_train).predict(X_test)
 
+def fit(X_test,y_test):
+    acc_score = accuracy_score(y_test, y_pred)
+    conf_matrix = confusion_matrix(y_test, y_pred)
+    c_report = classification_report(y_test, y_pred)
+    return conf_matrix,c_report,acc_score
 
 
diff --git a/q02_fit/tests/__pycache__/__init__.cpython-36.pyc b/q02_fit/tests/__pycache__/__init__.cpython-36.pyc
index 4a01850f21d216d8ccbec7c32d5325e707bae019..ff396da300cec3cf57b08ad992a2742777170aa5 100644
GIT binary patch
delta 56
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diff --git a/q02_fit/tests/__pycache__/test_q02_fit.cpython-36.pyc b/q02_fit/tests/__pycache__/test_q02_fit.cpython-36.pyc
index 413b2fcb0350f27eb149eb2d1be1830ba8545d0c..72e2af49da4a3cb0914573608c3f31a2ce4ddd1b 100644
GIT binary patch
delta 561
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delta 722
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