Styjun

I am trying to store a persistent sklearn joblib model through my app's model. Suddenly, my save() call in my views raised an error. something like this:
'function' object has no attribute '_committed'

This is writen for django2.1

Here is my view:

def predictionModelCreateView(request, **kwargs):
 proj_pk = kwargs.get('pk')

 if request.method == 'POST':
 form = PredictionCreateModelForm(proj_pk, request.POST)
 print('POST')
 if form.is_valid():
 predModel = form.save(commit=False)
 # proj = Project.objects.filter('id'=kwargs('pk').first()
 predModel.model_file = train_model #sample joblib file to be stored into database
 predModel.save()
 # form.save()
 messages.success(request, f'Model has been created!')
 return redirect('project-home')

 else:
 form = PredictionCreateModelForm(project_id=proj_pk)

 context = 
 'form': form
 

 return render(request, 'predictions/create_prediction_model.html', context)

Additionally, here is my Forms.py:

ALGORITHM_TYPE = (
 ('bin-log regression', 'Binary Logistic Regression'),
 ('another regression', 'Another Model')
)

class PredictionCreateModelForm(forms.ModelForm):
 # proj = ''
 name = forms.CharField(max_length=100)
 algorithm_type = forms.ChoiceField(
 choices=ALGORITHM_TYPE, 
 widget=forms.RadioSelect, 
 label="Select Algorithm:"
 )

 predictors = forms.MultipleChoiceField(
 widget = forms.CheckboxSelectMultiple, 
 label="Select Feature Predictor:"
 )

 target_column = forms.CharField(
 widget = forms.RadioSelect, 
 label="Select Target Feature:"
 )

 def __init__(self, project_id=1, *args, **kwargs):
 super(PredictionCreateModelForm, self).__init__(*args, **kwargs)

 project = Project.objects.get(id=project_id)

 df = pd.read_csv(project.base_file)
 cols = df.columns
 a_cols = np.column_stack(([cols, cols]))
 self.fields['predictors'].choices = a_cols
 self.fields['target_column'].choices = a_cols

 class Meta:
 model = PredictionModel
 fields = ['name', 'algorithm_type', 'target_column', 'model_file']
 exclude = ['model_file']

And here is my Models.py:

class PredictionModel(models.Model):

 name = models.CharField(max_length=30, default='New Model')
 algorithm_type = models.CharField(max_length=25, default='bin log regression')
 predictors = models.TextField(default="column1, column2, column-n")
 target_column = models.CharField(max_length=50, default='column1')
 model_file = models.FileField(upload_to='model_files', null=True)
 project = models.ForeignKey(Project, on_delete=models.CASCADE)

Here is my sample joblib implementation where the file for the model_file should come from:

ad_data = pd.read_csv('advertising.csv')
 X = ad_data[['Daily Time Spent on Site', 'Age', 'Area Income','Daily Internet Usage', 'Male']]
 y = ad_data['Clicked on Ad']

 # ** Split the data into training set and testing set using train_test_split**
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)

 # ** Train and fit a logistic regression model on the training set.**
 logmodel = LogisticRegression()
 logmodel.fit(X_train,y_train)

 # # ** Now predict values for the testing data.**
 # predictions = logmodel.predict(X_test)

 filename='sample.sav'
 joblib.dump(logmodel, filename)
 print('Hello')
 return filename

I expect that all the form fields will be saved into the database INCLUDING the joblib file.