From 7c9ecea370e14bae53f968cf67d697d2df3d82e9 Mon Sep 17 00:00:00 2001
From: asdoc <asdocode@gmail.com>
Date: Sun, 1 Jul 2018 04:35:58 +0000
Subject: [PATCH 1/2] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 0 -> 143 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 169 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1139 bytes
 q01_my_decision_regressor/build.py            |  20 +++++++++++++-----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 175 bytes
 ...t_q01_my_decision_regressor.cpython-36.pyc | Bin 0 -> 2986 bytes
 6 files changed, 15 insertions(+), 5 deletions(-)
 create mode 100644 __pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_my_decision_regressor/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_my_decision_regressor/__pycache__/build.cpython-36.pyc
 create mode 100644 q01_my_decision_regressor/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_my_decision_regressor/tests/__pycache__/test_q01_my_decision_regressor.cpython-36.pyc

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diff --git a/q01_my_decision_regressor/build.py b/q01_my_decision_regressor/build.py
index 5eb1927..c34a667 100644
--- a/q01_my_decision_regressor/build.py
+++ b/q01_my_decision_regressor/build.py
@@ -1,3 +1,4 @@
+# %load q01_my_decision_regressor/build.py
 # default imports
 from sklearn.model_selection import GridSearchCV
 from sklearn.tree import DecisionTreeRegressor
@@ -5,13 +6,22 @@
 from sklearn.model_selection import train_test_split
 import pandas as pd
 
-data = pd.read_csv("./data/house_pricing.csv")
+data = pd.read_csv('./data/house_pricing.csv')
 X = data.iloc[:, :-1]
 y = data.iloc[:, -1]
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=9)
 
-param_grid = {"max_depth": [2, 3, 5, 6, 8, 10, 15, 20, 30, 50],
-              "max_leaf_nodes": [2, 3, 4, 5, 10, 15, 20],
-              "max_features": [4, 8, 20, 25]}
+param_grid = {'max_depth': [2, 3, 5, 6, 8, 10, 15, 20, 30, 50],
+              'max_leaf_nodes': [2, 3, 4, 5, 10, 15, 20],
+              'max_features': [4, 8, 20, 25]}
+
+def my_decision_regressor(X_train, X_test, y_train, y_test, param_grid):
+    model = DecisionTreeRegressor(random_state=9)
+    grid_search_cv = GridSearchCV(model, param_grid, cv=5)
+    grid_search_cv.fit(X_train, y_train)
+    best_model = grid_search_cv.best_estimator_
+    best_model.fit(X_train, y_train)
+    y_pred = best_model.predict(X_test)
+    return r2_score(y_test, y_pred), grid_search_cv.best_params_
+
 
-# Write your solution here :
diff --git a/q01_my_decision_regressor/tests/__pycache__/__init__.cpython-36.pyc b/q01_my_decision_regressor/tests/__pycache__/__init__.cpython-36.pyc
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From c581e4b23cd62231c61408f07fc81c1531fb69f4 Mon Sep 17 00:00:00 2001
From: asdoc <asdocode@gmail.com>
Date: Sat, 7 Jul 2018 06:58:32 +0000
Subject: [PATCH 2/2] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 171 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1240 bytes
 q02_decision_regressor_plot/build.py          |  21 ++++++++++++++++--
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 177 bytes
 ...q02_decision_regressor_plot.cpython-36.pyc | Bin 0 -> 1130 bytes
 5 files changed, 19 insertions(+), 2 deletions(-)
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 create mode 100644 q02_decision_regressor_plot/__pycache__/build.cpython-36.pyc
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 create mode 100644 q02_decision_regressor_plot/tests/__pycache__/test_q02_decision_regressor_plot.cpython-36.pyc

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diff --git a/q02_decision_regressor_plot/build.py b/q02_decision_regressor_plot/build.py
index 02a9233..6863e8b 100644
--- a/q02_decision_regressor_plot/build.py
+++ b/q02_decision_regressor_plot/build.py
@@ -1,3 +1,4 @@
+# %load q02_decision_regressor_plot/build.py
 # default imports
 from sklearn.model_selection import train_test_split
 from sklearn.tree import DecisionTreeRegressor
@@ -6,11 +7,27 @@
 import matplotlib.pyplot as plt
 import numpy as np
 
-data = pd.read_csv("./data/house_pricing.csv")
+data = pd.read_csv('./data/house_pricing.csv')
 X = data.iloc[:, :-1]
 y = data.iloc[:, -1]
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=9)
 
 depth_list = [2, 8, 10, 15, 20, 25, 30, 35, 45, 50, 80]
 
-# Write your solution here :
+def decision_regressor_plot(X_train, X_test, y_train, y_test, depths):
+    train_scores = []
+    test_scores = []
+    for depth in depths:
+        model = DecisionTreeRegressor(criterion='mse', max_depth=depth, random_state=9)
+        model = model.fit(X_train, y_train)
+        y_pred_train = model.predict(X_train)
+        mse_train = mean_squared_error(y_pred_train, y_train)
+        train_scores.append(mse_train)
+        y_pred_test = model.predict(X_test)
+        mse_test = mean_squared_error(y_pred_test, y_test)
+        test_scores.append(mse_test)
+    plt.plot(depth_list, train_scores)
+    plt.plot(depth_list, test_scores)
+    plt.show()
+        
+
diff --git a/q02_decision_regressor_plot/tests/__pycache__/__init__.cpython-36.pyc b/q02_decision_regressor_plot/tests/__pycache__/__init__.cpython-36.pyc
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