From 9b5134297db7e260c697073bacce04b7a468c2d3 Mon Sep 17 00:00:00 2001 From: Natalia Date: Mon, 25 May 2020 12:18:51 +0200 Subject: [PATCH] commit_natalia5 --- Restaurant/Natalia/__init__.py | 10 ++++++---- Restaurant/Natalia/final_model.sav | Bin 5101 -> 5322 bytes Restaurant/Natalia/polecanie_1.png | Bin 282004 -> 282215 bytes Restaurant/main.py | 4 +--- polecanie_dań_Natalia_Plitta.md | 8 ++++---- 5 files changed, 11 insertions(+), 11 deletions(-) diff --git a/Restaurant/Natalia/__init__.py b/Restaurant/Natalia/__init__.py index 9de6932..55389eb 100644 --- a/Restaurant/Natalia/__init__.py +++ b/Restaurant/Natalia/__init__.py @@ -29,7 +29,7 @@ def main(): #podział danych na zestaw treningowy i testowy; 70% trening 30% test X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, - random_state=1) # 70% training and 30% test + random_state=1) ############################### # stworzenie -obiektu- drzewa Decision Tree classifer @@ -55,6 +55,10 @@ def main(): graph.write_png('polecanie_1.png') Image(graph.create_png()) + # zapisanie modelu danych do pliku + file_name = 'final_model.sav' + joblib.dump(clf, file_name) + # ************************************************************ # stworzenie -obiektu- drzewa Decision Tree classifer z kryterium entropii clf = DecisionTreeClassifier(criterion="entropy") @@ -78,9 +82,7 @@ def main(): graph.write_png('polecanie_2_entropia.png') Image(graph.create_png()) - #zapisanie modelu danych do pliku - file_name = 'final_model.sav' - joblib.dump(clf, file_name) + return diff --git a/Restaurant/Natalia/final_model.sav b/Restaurant/Natalia/final_model.sav index 9402e9b1978035b4a9a359cae8f9fbae5636c372..5bd3602cc9239805e23f77199cc3f12a1e0ddc1b 100644 GIT binary patch delta 581 zcmaE>eoAwKHwOy?14DXdUgpNI8fJOr2v#6BFFz%a)LbI{ZvbNAlBSShvCPUU+ zdGkl+07j1G51xwbne)nivL~wn`>i*R4is2EpWMJ|$X;N}b$xNc)yX?pGueU00KtvP z8f**M=NZI!o6deT`2w3EyUg)IAi6f0gFTboid7$I)|1H@IThG5 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