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predict pipeline

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Files changed (8) hide show
  1. app.py +11 -0
  2. {artifacts → artifact}/model.pkl +0 -0
  3. catboost_info/catboost_training.json +100 -100
  4. catboost_info/learn/events.out.tfevents +0 -0
  5. catboost_info/time_left.tsv +100 -100
  6. src/Components/model_tranier.py +1 -1
  7. src/Pipeline/predict_pipe.py +79 -0
  8. src/utils.py +7 -0
app.py ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
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+ from src.Pipeline.predict_pipe import Predict_Pipeline
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+
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+ if __name__ == "__main__":
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+ obj = Predict_Pipeline()
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+ print(obj.predict(gender = "female",
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+ race_ethnicity="group C",
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+ parental_level_of_education="bachelor's degree",
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+ lunch= "free/reduced",
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+ test_preparation_course="none",
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+ reading_score= 75,
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+ writing_score= 60))
{artifacts → artifact}/model.pkl RENAMED
File without changes
catboost_info/catboost_training.json CHANGED
@@ -1,104 +1,104 @@
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104
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catboost_info/learn/events.out.tfevents CHANGED
Binary files a/catboost_info/learn/events.out.tfevents and b/catboost_info/learn/events.out.tfevents differ
 
catboost_info/time_left.tsv CHANGED
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src/Components/model_tranier.py CHANGED
@@ -26,7 +26,7 @@ from src.exception import CustomException
26
  @dataclass
27
 
28
  class Model_training_config:
29
- trained_model_path = os.path.join("artifacts","model.pkl")
30
  class Model_trainer:
31
  def __init__(self) -> None:
32
  self.model_trainer_config = Model_training_config()
 
26
  @dataclass
27
 
28
  class Model_training_config:
29
+ trained_model_path = os.path.join("artifact","model.pkl")
30
  class Model_trainer:
31
  def __init__(self) -> None:
32
  self.model_trainer_config = Model_training_config()
src/Pipeline/predict_pipe.py ADDED
@@ -0,0 +1,79 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from src.utils import load_Obj
2
+ from src.utils import CustomException
3
+
4
+ import sys
5
+ import pandas as pd
6
+
7
+
8
+
9
+ class Predict_Pipeline():
10
+ model_path = "artifact/model.pkl"
11
+ preprocessor_path = "artifact/Preprocessor.pkl"
12
+ def __init__(self):
13
+ print("model is loading")
14
+ self.model = load_Obj(self.model_path)
15
+ self.preprocessor = load_Obj(self.preprocessor_path)
16
+ print("model is loaded")
17
+ def predict(self,
18
+ gender: str,
19
+ race_ethnicity: str,
20
+ parental_level_of_education:str,
21
+ lunch: str,
22
+ test_preparation_course: str,
23
+ reading_score: int,
24
+ writing_score: int):
25
+ print("data is loading ")
26
+ data = CustomData(
27
+ gender,
28
+ race_ethnicity,
29
+ parental_level_of_education,
30
+ lunch,
31
+ test_preparation_course,
32
+ reading_score,
33
+ writing_score).get_data_as_data_frame()
34
+ print("data is loaded")
35
+ data_scaled = self.preprocessor.transform(data)
36
+ pred = self.model.predict(data_scaled)
37
+ print("prediction done")
38
+ return pred
39
+ class CustomData:
40
+ def __init__( self,
41
+ gender: str,
42
+ race_ethnicity: str,
43
+ parental_level_of_education,
44
+ lunch: str,
45
+ test_preparation_course: str,
46
+ reading_score: int,
47
+ writing_score: int):
48
+
49
+ self.gender = gender
50
+
51
+ self.race_ethnicity = race_ethnicity
52
+
53
+ self.parental_level_of_education = parental_level_of_education
54
+
55
+ self.lunch = lunch
56
+
57
+ self.test_preparation_course = test_preparation_course
58
+
59
+ self.reading_score = reading_score
60
+
61
+ self.writing_score = writing_score
62
+
63
+ def get_data_as_data_frame(self):
64
+ try:
65
+ custom_data_input_dict = {
66
+ "gender": [self.gender],
67
+ "race_ethnicity": [self.race_ethnicity],
68
+ "parental_level_of_education": [self.parental_level_of_education],
69
+ "lunch": [self.lunch],
70
+ "test_preparation_course": [self.test_preparation_course],
71
+ "reading_score": [self.reading_score],
72
+ "writing_score": [self.writing_score],
73
+ }
74
+
75
+ return pd.DataFrame(custom_data_input_dict)
76
+
77
+ except Exception as e:
78
+ raise CustomException(e, sys)
79
+
src/utils.py CHANGED
@@ -25,6 +25,13 @@ def save_object(file_path , obj):
25
  pickle.dump(obj,file_obj)
26
  except Exception as e:
27
  raise CustomException(e,sys)
 
 
 
 
 
 
 
28
 
29
  def evaluate_model(X,Y,X_test,Y_test,Models,Param):
30
  try:
 
25
  pickle.dump(obj,file_obj)
26
  except Exception as e:
27
  raise CustomException(e,sys)
28
+ def load_Obj(file_path):
29
+ try:
30
+ with open(file_path,"rb") as file_obj:
31
+ return dill.load(file_obj)
32
+ except Exception as e:
33
+ raise CustomException(e,sys)
34
+
35
 
36
  def evaluate_model(X,Y,X_test,Y_test,Models,Param):
37
  try: