commit-live-students · prodigy803 · Oct 10, 2018 · Oct 10, 2018 · Nov 13, 2018 · Nov 17, 2018
diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
diff --git a/q01_load_data/__pycache__/__init__.cpython-36.pyc b/q01_load_data/__pycache__/__init__.cpython-36.pyc
diff --git a/q01_load_data/__pycache__/build.cpython-36.pyc b/q01_load_data/__pycache__/build.cpython-36.pyc
diff --git a/q01_load_data/build.py b/q01_load_data/build.py
@@ -1,4 +1,10 @@
+# %load q01_load_data/build.py
 import pandas as pd
 
 # Write your code below
-
+def load_data(path):
+    return pd.read_csv(path,sep=';')
+
+
+
+
diff --git a/q01_load_data/tests/__pycache__/__init__.cpython-36.pyc b/q01_load_data/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q01_load_data/tests/__pycache__/test.cpython-36.pyc b/q01_load_data/tests/__pycache__/test.cpython-36.pyc
diff --git a/q02_data_split/__pycache__/__init__.cpython-36.pyc b/q02_data_split/__pycache__/__init__.cpython-36.pyc
diff --git a/q02_data_split/__pycache__/build.cpython-36.pyc b/q02_data_split/__pycache__/build.cpython-36.pyc
diff --git a/q02_data_split/build.py b/q02_data_split/build.py
@@ -1,8 +1,19 @@
+# %load q02_data_split/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from sklearn.model_selection import train_test_split
 import pandas as pd
 df = load_data('data/student-mat.csv')
 
 # Write your code below
-
-
+def split_dataset(df):
+    x_train,x_test,y_train,y_test = train_test_split(df.loc[:, 'school':'G2'],df.loc[:,'G3'],test_size=0.2)
+    return x_train,x_test,y_train,y_test
+
+
+
+
+
+
+
+
+
diff --git a/q02_data_split/tests/__pycache__/__init__.cpython-36.pyc b/q02_data_split/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q02_data_split/tests/__pycache__/test.cpython-36.pyc b/q02_data_split/tests/__pycache__/test.cpython-36.pyc
diff --git a/q03_data_encoding/__pycache__/__init__.cpython-36.pyc b/q03_data_encoding/__pycache__/__init__.cpython-36.pyc
diff --git a/q03_data_encoding/__pycache__/build.cpython-36.pyc b/q03_data_encoding/__pycache__/build.cpython-36.pyc
diff --git a/q03_data_encoding/build.py b/q03_data_encoding/build.py
@@ -1,3 +1,4 @@
+# %load q03_data_encoding/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
 from sklearn.preprocessing import LabelEncoder
@@ -8,7 +9,18 @@
 x_train, x_test, y_train, y_test =  split_dataset(df)
 
 # Write your code below
-
-
+def label_encode(x,x_test):
+    label_enc = LabelEncoder()
+    list_of_cats = list(x.select_dtypes(['object']).columns)
+    for i in range(len(list_of_cats)):
+        x[list_of_cats[i]] = label_enc.fit_transform(x.loc[:,list_of_cats[i]])
+    for i in range(len(list_of_cats)):
+        x_test[list_of_cats[i]] = label_enc.fit_transform(x_test.loc[:,list_of_cats[i]])
+
+    return x,x_test
+
+
+
+
 
 
diff --git a/q03_data_encoding/tests/__pycache__/__init__.cpython-36.pyc b/q03_data_encoding/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q03_data_encoding/tests/__pycache__/test.cpython-36.pyc b/q03_data_encoding/tests/__pycache__/test.cpython-36.pyc
diff --git a/q03_ohe_encoder/__pycache__/__init__.cpython-36.pyc b/q03_ohe_encoder/__pycache__/__init__.cpython-36.pyc
diff --git a/q03_ohe_encoder/__pycache__/build.cpython-36.pyc b/q03_ohe_encoder/__pycache__/build.cpython-36.pyc
diff --git a/q03_ohe_encoder/build.py b/q03_ohe_encoder/build.py
@@ -1,6 +1,7 @@
+# %load q03_ohe_encoder/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
-from sklearn.preprocessing import OneHotEncoder
+from sklearn.preprocessing import OneHotEncoder,LabelEncoder
 import pandas as pd
 import numpy as np
 
@@ -12,8 +13,14 @@
 
 
 # Write your code below
+def ohe_encode(X,X_test,category_index=([0, 1, 3, 4, 5, 8, 9, 10, 11, 15, 16, 17, 18, 19, 20, 21, 22])):
+    ohe_enc = OneHotEncoder()
+    label_enc = LabelEncoder()
+    for i in range(len(category_index)):
+        X.iloc[:,category_index[i]] = label_enc.fit_transform(X.iloc[:,category_index[i]])
+        X_test.iloc[:,category_index[i]] = label_enc.fit_transform(X_test.iloc[:,category_index[i]])
+
+    return ohe_enc.fit_transform(X),ohe_enc.fit_transform(X_test)
+
 
-
 
-
-
diff --git a/q03_ohe_encoder/tests/__pycache__/__init__.cpython-36.pyc b/q03_ohe_encoder/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q03_ohe_encoder/tests/__pycache__/test.cpython-36.pyc b/q03_ohe_encoder/tests/__pycache__/test.cpython-36.pyc
diff --git a/q04_data_visualisation/__pycache__/__init__.cpython-36.pyc b/q04_data_visualisation/__pycache__/__init__.cpython-36.pyc
diff --git a/q04_data_visualisation/__pycache__/build.cpython-36.pyc b/q04_data_visualisation/__pycache__/build.cpython-36.pyc
diff --git a/q04_data_visualisation/build.py b/q04_data_visualisation/build.py
@@ -1,4 +1,4 @@
-# -*- coding: utf-8 -*-
+# %load q04_data_visualisation/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
 from greyatomlib.multivariate_regression_project.q03_data_encoding.build import label_encode
@@ -10,7 +10,9 @@
 x_train,x_test = label_encode(x_train,x_test)
 
 # Write your code below
-
-
-
+def visualise_data(data,figname):
+    return scatter_matrix(data)
+
+
+
 
diff --git a/q04_data_visualisation/tests/__pycache__/__init__.cpython-36.pyc b/q04_data_visualisation/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q04_data_visualisation/tests/__pycache__/test.cpython-36.pyc b/q04_data_visualisation/tests/__pycache__/test.cpython-36.pyc
diff --git a/q05_linear_regression_model/__pycache__/__init__.cpython-36.pyc b/q05_linear_regression_model/__pycache__/__init__.cpython-36.pyc
diff --git a/q05_linear_regression_model/__pycache__/build.cpython-36.pyc b/q05_linear_regression_model/__pycache__/build.cpython-36.pyc
diff --git a/q05_linear_regression_model/build.py b/q05_linear_regression_model/build.py
@@ -1,3 +1,4 @@
+# %load q05_linear_regression_model/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
 
@@ -12,4 +13,9 @@
 
 
 # Write your code below
-
+def linear_regression(X,y):
+    lm = LinearRegression()
+    return lm.fit(X,y)
+
+
+
diff --git a/q05_linear_regression_model/tests/__pycache__/__init__.cpython-36.pyc b/q05_linear_regression_model/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q05_linear_regression_model/tests/__pycache__/test.cpython-36.pyc b/q05_linear_regression_model/tests/__pycache__/test.cpython-36.pyc
diff --git a/q06_cross_validation/__pycache__/__init__.cpython-36.pyc b/q06_cross_validation/__pycache__/__init__.cpython-36.pyc
diff --git a/q06_cross_validation/__pycache__/build.cpython-36.pyc b/q06_cross_validation/__pycache__/build.cpython-36.pyc
diff --git a/q06_cross_validation/build.py b/q06_cross_validation/build.py
@@ -1,3 +1,4 @@
+# %load q06_cross_validation/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
 
@@ -18,4 +19,10 @@
 model =linear_regression(x_train,y_train)
 
 # Write your code below
+def cross_validation_regressor(Model,X,y):
+    return np.mean(cross_val_score(Model,X,y=y,scoring='r2'))
 
+
+
+
+
diff --git a/q06_cross_validation/tests/__pycache__/__init__.cpython-36.pyc b/q06_cross_validation/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q06_cross_validation/tests/__pycache__/test.cpython-36.pyc b/q06_cross_validation/tests/__pycache__/test.cpython-36.pyc
diff --git a/q07_regression_pred/__pycache__/__init__.cpython-36.pyc b/q07_regression_pred/__pycache__/__init__.cpython-36.pyc
diff --git a/q07_regression_pred/__pycache__/build.cpython-36.pyc b/q07_regression_pred/__pycache__/build.cpython-36.pyc
diff --git a/q07_regression_pred/build.py b/q07_regression_pred/build.py
@@ -1,3 +1,4 @@
+# %load q07_regression_pred/build.py
 
 from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score
 
@@ -20,3 +21,17 @@
 
 
 # Write your code below    
+def regression_predictor(model,X,y):
+    model.fit(x_train,y_train)
+    predictions = model.predict(x_test)
+
+    mse = mean_squared_error(y_test,predictions)
+    mae = mean_absolute_error(y_test,predictions)
+    r2 = r2_score(y_test,predictions)
+
+    return predictions,mse,mae,r2
+
+
+
+
+
diff --git a/q07_regression_pred/tests/__pycache__/__init__.cpython-36.pyc b/q07_regression_pred/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q07_regression_pred/tests/__pycache__/test.cpython-36.pyc b/q07_regression_pred/tests/__pycache__/test.cpython-36.pyc
diff --git a/q08_linear_model/__pycache__/__init__.cpython-36.pyc b/q08_linear_model/__pycache__/__init__.cpython-36.pyc
diff --git a/q08_linear_model/__pycache__/build.cpython-36.pyc b/q08_linear_model/__pycache__/build.cpython-36.pyc
diff --git a/q08_linear_model/build.py b/q08_linear_model/build.py
@@ -1,3 +1,4 @@
+# %load q08_linear_model/build.py
 import pandas as pd
 import numpy as np
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
@@ -16,5 +17,18 @@
 y_pred, mse, mae, r2 = regression_predictor(model, x_test, y_test)
 
 # Write your code below
-
-
+def linear_model(x_train,x_test,y_train,y_test):
+    model = linear_regression(x_train,y_train)
+    val = cross_validation_regressor(model,x_train,y_train)
+    y_pred, mse, mae, r2 = regression_predictor(model,x_test,y_test)
+    stats = pd.DataFrame(columns=['cross_validation', 'rmse','mae','r2'])
+    stats.loc[0,'cross_validation'] = val
+    stats.loc[0,'rmse'] = mae
+    stats.loc[0,'mae'] = mse 
+    stats.loc[0,'r2'] = r2
+    return model, y_pred, stats
+
+
+
+
+
diff --git a/q08_linear_model/tests/__pycache__/__init__.cpython-36.pyc b/q08_linear_model/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q08_linear_model/tests/__pycache__/test.cpython-36.pyc b/q08_linear_model/tests/__pycache__/test.cpython-36.pyc
diff --git a/q09_advanced_model_q01_lasso/__pycache__/__init__.cpython-36.pyc b/q09_advanced_model_q01_lasso/__pycache__/__init__.cpython-36.pyc
diff --git a/q09_advanced_model_q01_lasso/__pycache__/build.cpython-36.pyc b/q09_advanced_model_q01_lasso/__pycache__/build.cpython-36.pyc
diff --git a/q09_advanced_model_q01_lasso/build.py b/q09_advanced_model_q01_lasso/build.py
@@ -1,3 +1,4 @@
+# %load q09_advanced_model_q01_lasso/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
@@ -19,5 +20,20 @@
 x_train,x_test = label_encode(x_train,x_test)
 
 # Write your solution here
+def lasso(x_train,x_test,y_train,y_test,alpha=0.1):
+    model = Lasso(alpha=0.1)
+    model.fit(x_train,y_train)
+    val = cross_validation_regressor(model,x_train,y_train)
+    y_pred, mse, mae, r2 = regression_predictor(model,x_test,y_test)
+    stats = pd.DataFrame(columns=['cross_validation', 'mae','r2','rmse'])
+    stats.loc[0,'cross_validation'] = val
+    stats.loc[0,'rmse'] = mse **(0.5)
+    stats.loc[0,'mae'] =  mae
+    stats.loc[0,'r2'] = r2
+    return model, y_pred, stats
+
+
+
+
+
 
-
diff --git a/q09_advanced_model_q01_lasso/tests/__pycache__/__init__.cpython-36.pyc b/q09_advanced_model_q01_lasso/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q09_advanced_model_q01_lasso/tests/__pycache__/test.cpython-36.pyc b/q09_advanced_model_q01_lasso/tests/__pycache__/test.cpython-36.pyc
diff --git a/q09_advanced_model_q02_ridge/__pycache__/__init__.cpython-36.pyc b/q09_advanced_model_q02_ridge/__pycache__/__init__.cpython-36.pyc
diff --git a/q09_advanced_model_q02_ridge/__pycache__/build.cpython-36.pyc b/q09_advanced_model_q02_ridge/__pycache__/build.cpython-36.pyc
diff --git a/q09_advanced_model_q02_ridge/build.py b/q09_advanced_model_q02_ridge/build.py
@@ -1,3 +1,4 @@
+# %load q09_advanced_model_q02_ridge/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
@@ -19,7 +20,21 @@
 x_train,x_test = label_encode(x_train,x_test)
 
 # Write your code below
-
+def ridge(x_train, x_test, y_train, y_test,alpha=0.1):
+    model = Ridge(alpha=alpha,normalize=True)
+    model.fit(x_train,y_train)
+    val = cross_validation_regressor(model,x_train,y_train)
+    y_pred, mse, mae, r2 = regression_predictor(model,x_test,y_test)
+    stats = pd.DataFrame(columns=['cross_validation', 'mae','r2','rmse'])
+    stats.loc[0,'cross_validation'] = val
+    stats.loc[0,'rmse'] = mse **(0.5)
+    stats.loc[0,'mae'] =  mae
+    stats.loc[0,'r2'] = r2
+    return model, y_pred, stats
 
 
 
+
+
+
+
diff --git a/q09_advanced_model_q02_ridge/tests/__pycache__/__init__.cpython-36.pyc b/q09_advanced_model_q02_ridge/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q09_advanced_model_q02_ridge/tests/__pycache__/test.cpython-36.pyc b/q09_advanced_model_q02_ridge/tests/__pycache__/test.cpython-36.pyc
diff --git a/q10_data_missing_values/__pycache__/__init__.cpython-36.pyc b/q10_data_missing_values/__pycache__/__init__.cpython-36.pyc
diff --git a/q10_data_missing_values/__pycache__/build.cpython-36.pyc b/q10_data_missing_values/__pycache__/build.cpython-36.pyc
diff --git a/q10_data_missing_values/build.py b/q10_data_missing_values/build.py
@@ -1,3 +1,4 @@
+# %load q10_data_missing_values/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
 from greyatomlib.multivariate_regression_project.q03_data_encoding.build import label_encode
@@ -10,4 +11,11 @@
 x_train,x_test = label_encode(x_train,x_test)
 
 # Write your code below
-
+def describe_df(data):
+    return data.describe(),x_train.apply(pd.value_counts),
+
+
+
+
+
+
diff --git a/q10_data_missing_values/tests/__pycache__/__init__.cpython-36.pyc b/q10_data_missing_values/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q10_data_missing_values/tests/__pycache__/test.cpython-36.pyc b/q10_data_missing_values/tests/__pycache__/test.cpython-36.pyc
diff --git a/q11_feature_selection_q01_plot_corr/__pycache__/__init__.cpython-36.pyc b/q11_feature_selection_q01_plot_corr/__pycache__/__init__.cpython-36.pyc
diff --git a/q11_feature_selection_q01_plot_corr/__pycache__/build.cpython-36.pyc b/q11_feature_selection_q01_plot_corr/__pycache__/build.cpython-36.pyc
diff --git a/q11_feature_selection_q01_plot_corr/build.py b/q11_feature_selection_q01_plot_corr/build.py
@@ -1,5 +1,7 @@
+# %load q11_feature_selection_q01_plot_corr/build.py
 
 import matplotlib.pyplot as plt
+import seaborn as sns
 from matplotlib.pyplot import yticks, xticks, subplots, set_cmap
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 
@@ -21,6 +23,14 @@
 
 #Remember to concatenate training features and labels if you want to check that scatterplots which I would prefer.You are free to explore labels to labels, features to features ,etc scatterplots as you want by passing arguments
 #============================================================================
-#visualise_data(pd.concat([x_train,y_train],axis=1),"../images/data_image.png")
+#visualise_data(pd.concat([x_train,y_train],axis=1),'../images/data_image.png')
 
 # Write your solution here:
+def plot_corr(df,size=(11)):
+    plt.figure(figsize=size)
+    sns.heatmap(df.corr())
+    plt.savefig('data_image.png')
+    plt.show()
+
+
+
diff --git a/q11_feature_selection_q01_plot_corr/tests/__pycache__/__init__.cpython-36.pyc b/q11_feature_selection_q01_plot_corr/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q11_feature_selection_q01_plot_corr/tests/__pycache__/test.cpython-36.pyc b/q11_feature_selection_q01_plot_corr/tests/__pycache__/test.cpython-36.pyc
diff --git a/q11_feature_selection_q02_best_k_features/__pycache__/__init__.cpython-36.pyc b/q11_feature_selection_q02_best_k_features/__pycache__/__init__.cpython-36.pyc
diff --git a/q11_feature_selection_q02_best_k_features/__pycache__/build.cpython-36.pyc b/q11_feature_selection_q02_best_k_features/__pycache__/build.cpython-36.pyc
diff --git a/q11_feature_selection_q02_best_k_features/build.py b/q11_feature_selection_q02_best_k_features/build.py
@@ -1,3 +1,4 @@
+# %load q11_feature_selection_q02_best_k_features/build.py
 # Default imports
 from sklearn.feature_selection import SelectPercentile
 from sklearn.feature_selection import f_regression
@@ -20,7 +21,16 @@
 
 np.random.seed(9)
 # Write your code below
-
+def percentile_k_features(features,labels,k=50):
+    s_per = SelectPercentile(score_func=f_regression,percentile=k).fit(x_train,y_train)
+
+    x_train_col_arr= np.array(x_train.columns)
+    return [x_train_col_arr[i] for i in np.argsort(s_per.scores_)[::-1]][0:16]
+
+
+
+
+
 
 
 

diff --git a/q11_feature_selection_q02_best_k_features/tests/__pycache__/__init__.cpython-36.pyc b/q11_feature_selection_q02_best_k_features/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q11_feature_selection_q02_best_k_features/tests/__pycache__/test.cpython-36.pyc b/q11_feature_selection_q02_best_k_features/tests/__pycache__/test.cpython-36.pyc
diff --git a/q12_feature_selection/__pycache__/__init__.cpython-36.pyc b/q12_feature_selection/__pycache__/__init__.cpython-36.pyc
diff --git a/q12_feature_selection/__pycache__/build.cpython-36.pyc b/q12_feature_selection/__pycache__/build.cpython-36.pyc
diff --git a/q12_feature_selection/build.py b/q12_feature_selection/build.py
@@ -1,3 +1,4 @@
+# %load q12_feature_selection/build.py
 # import matplotlib.pyplot as plt
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
@@ -16,3 +17,9 @@
 x_train,x_test = label_encode(x_train,x_test)
 
 # Write your code below
+def feature_selection(X,y,k=50):
+    return percentile_k_features(X,y,k)
+
+
+
+
diff --git a/q12_feature_selection/tests/__pycache__/__init__.cpython-36.pyc b/q12_feature_selection/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q12_feature_selection/tests/__pycache__/test.cpython-36.pyc b/q12_feature_selection/tests/__pycache__/test.cpython-36.pyc
diff --git a/q13_plot_residuals/__pycache__/__init__.cpython-36.pyc b/q13_plot_residuals/__pycache__/__init__.cpython-36.pyc
diff --git a/q13_plot_residuals/__pycache__/build.cpython-36.pyc b/q13_plot_residuals/__pycache__/build.cpython-36.pyc
diff --git a/q13_plot_residuals/build.py b/q13_plot_residuals/build.py
@@ -1,5 +1,11 @@
+# %load q13_plot_residuals/build.py
 
 
 import matplotlib.pyplot as plt
-
 # Write your code below
+def plot_residuals(y_test,y_pred,name):
+    plt.scatter(y_test,y_pred)
+    plt.title('name')
+    plt.show()
+
+
diff --git a/q13_plot_residuals/tests/__pycache__/__init__.cpython-36.pyc b/q13_plot_residuals/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q13_plot_residuals/tests/__pycache__/test.cpython-36.pyc b/q13_plot_residuals/tests/__pycache__/test.cpython-36.pyc
diff --git a/q14_benchmarking/__pycache__/__init__.cpython-36.pyc b/q14_benchmarking/__pycache__/__init__.cpython-36.pyc
diff --git a/q14_benchmarking/__pycache__/build.cpython-36.pyc b/q14_benchmarking/__pycache__/build.cpython-36.pyc
diff --git a/q14_benchmarking/build.py b/q14_benchmarking/build.py
@@ -1,3 +1,4 @@
+# %load q14_benchmarking/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
 
@@ -26,5 +27,18 @@
 
 
 # Write your code below
+def create_stats(x_train, x_test, y_train, y_test):
+    ft = feature_selection(x_train,y_train,50)
+
+    model_Lasso,preds_lasso,stats_lasso = lasso(x_train, x_test, y_train, y_test)
+    model_Lasso_ft,pred_lasso_ft,stats_lasso_ft = lasso(x_train.loc[:,ft],x_test.loc[:,ft],y_train,y_test)
+    model_Ridge,preds_ridge,stats_ridge = ridge(x_train, x_test, y_train, y_test)
+    model_Ridge_ft,preds_ridge_ft,stats_ridge_ft = ridge(x_train.loc[:,ft],x_test.loc[:,ft],y_train,y_test)
+
+    complete_stats = pd.concat([stats_lasso,stats_lasso_ft,stats_ridge,stats_ridge_ft]) 
+    return complete_stats
+
+
+
 
 
diff --git a/q14_benchmarking/tests/__pycache__/__init__.cpython-36.pyc b/q14_benchmarking/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q14_benchmarking/tests/__pycache__/test.cpython-36.pyc b/q14_benchmarking/tests/__pycache__/test.cpython-36.pyc