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Make a prediction on the selected rows in the HTML table using the Django techniques
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From an HTML Data table as the one below, I would like for each row selected via a checkbox make a prediction using SVM classifier.
Before, I used the same classifier to predict all the dataset containing in CSV file. Now, I want to make the same prediction on only selected rows in the HTML table.
Below is my SVM code to make the prediction.
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.svm import SVC
from sklearn.metrics import roc_curve, auc
from sklearn.cross_validation import cross_val_score
from sklearn.cross_validation import train_test_split
from sklearn.metrics import accuracy_score
from sklearn.metrics import confusion_matrix
from sklearn import metrics
#Loading dataset
train=pd.read_csv('Data.csv')
features_col=['Changed_file','Num_commits_before_Closed','Num_lines_added','Num_lines_deleted']
X=train[features_col].dropna()
y=train.classes
test_size=0.4 #could also specify train_size=0.7 instead
random_state=0
#train_test_split convenience function
X_train,X_test,y_train,y_test=train_test_split(X,y,random_state=random_state,test_size=test_size)
clf = SVC(probability=True, random_state=5)
clf=clf.fit(X_train,y_train)
y_pred=clf.predict(X_test)
#Confusion matrix
print(confusion_matrix(y_test,y_pred))
#Print the classification report
from sklearn.metrics import classification_report
print (classification_report(y_test,y_pred))
python html django scikit-learn
edited Jan 1 at 6:27
Rohan Nadagouda
264314
asked Nov 29 '18 at 9:14
Abdillah MohamedAbdillah Mohamed
917
add a comment |
0
From an HTML Data table as the one below, I would like for each row selected via a checkbox make a prediction using SVM classifier.
Before, I used the same classifier to predict all the dataset containing in CSV file. Now, I want to make the same prediction on only selected rows in the HTML table.
Below is my SVM code to make the prediction.
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.svm import SVC
from sklearn.metrics import roc_curve, auc
from sklearn.cross_validation import cross_val_score
from sklearn.cross_validation import train_test_split
from sklearn.metrics import accuracy_score
from sklearn.metrics import confusion_matrix
from sklearn import metrics
#Loading dataset
train=pd.read_csv('Data.csv')
features_col=['Changed_file','Num_commits_before_Closed','Num_lines_added','Num_lines_deleted']
X=train[features_col].dropna()
y=train.classes
test_size=0.4 #could also specify train_size=0.7 instead
random_state=0
#train_test_split convenience function
X_train,X_test,y_train,y_test=train_test_split(X,y,random_state=random_state,test_size=test_size)
clf = SVC(probability=True, random_state=5)
clf=clf.fit(X_train,y_train)
y_pred=clf.predict(X_test)
#Confusion matrix
print(confusion_matrix(y_test,y_pred))
#Print the classification report
from sklearn.metrics import classification_report
print (classification_report(y_test,y_pred))
python html django scikit-learn
edited Jan 1 at 6:27
Rohan Nadagouda
264314
asked Nov 29 '18 at 9:14
Abdillah MohamedAbdillah Mohamed
917
add a comment |
0
0
0
From an HTML Data table as the one below, I would like for each row selected via a checkbox make a prediction using SVM classifier.
Before, I used the same classifier to predict all the dataset containing in CSV file. Now, I want to make the same prediction on only selected rows in the HTML table.
Below is my SVM code to make the prediction.
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.svm import SVC
from sklearn.metrics import roc_curve, auc
from sklearn.cross_validation import cross_val_score
from sklearn.cross_validation import train_test_split
from sklearn.metrics import accuracy_score
from sklearn.metrics import confusion_matrix
from sklearn import metrics
#Loading dataset
train=pd.read_csv('Data.csv')
features_col=['Changed_file','Num_commits_before_Closed','Num_lines_added','Num_lines_deleted']
X=train[features_col].dropna()
y=train.classes
test_size=0.4 #could also specify train_size=0.7 instead
random_state=0
#train_test_split convenience function
X_train,X_test,y_train,y_test=train_test_split(X,y,random_state=random_state,test_size=test_size)
clf = SVC(probability=True, random_state=5)
clf=clf.fit(X_train,y_train)
y_pred=clf.predict(X_test)
#Confusion matrix
print(confusion_matrix(y_test,y_pred))
#Print the classification report
from sklearn.metrics import classification_report
print (classification_report(y_test,y_pred))
python html django scikit-learn
edited Jan 1 at 6:27
Rohan Nadagouda
264314
asked Nov 29 '18 at 9:14
Abdillah MohamedAbdillah Mohamed
917
From an HTML Data table as the one below, I would like for each row selected via a checkbox make a prediction using SVM classifier.
Before, I used the same classifier to predict all the dataset containing in CSV file. Now, I want to make the same prediction on only selected rows in the HTML table.
Below is my SVM code to make the prediction.
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.svm import SVC
from sklearn.metrics import roc_curve, auc
from sklearn.cross_validation import cross_val_score
from sklearn.cross_validation import train_test_split
from sklearn.metrics import accuracy_score
from sklearn.metrics import confusion_matrix
from sklearn import metrics
#Loading dataset
train=pd.read_csv('Data.csv')
features_col=['Changed_file','Num_commits_before_Closed','Num_lines_added','Num_lines_deleted']
X=train[features_col].dropna()
y=train.classes
test_size=0.4 #could also specify train_size=0.7 instead
random_state=0
#train_test_split convenience function
X_train,X_test,y_train,y_test=train_test_split(X,y,random_state=random_state,test_size=test_size)
clf = SVC(probability=True, random_state=5)
clf=clf.fit(X_train,y_train)
y_pred=clf.predict(X_test)
#Confusion matrix
print(confusion_matrix(y_test,y_pred))
#Print the classification report
from sklearn.metrics import classification_report
print (classification_report(y_test,y_pred))
python html django scikit-learn
python html django scikit-learn
edited Jan 1 at 6:27
Rohan Nadagouda
264314
asked Nov 29 '18 at 9:14
Abdillah MohamedAbdillah Mohamed
917
edited Jan 1 at 6:27
Rohan Nadagouda
264314
asked Nov 29 '18 at 9:14
Abdillah MohamedAbdillah Mohamed
917
edited Jan 1 at 6:27
Rohan Nadagouda
264314
edited Jan 1 at 6:27
Rohan Nadagouda
264314
edited Jan 1 at 6:27
Rohan Nadagouda
264314
264314
asked Nov 29 '18 at 9:14
Abdillah MohamedAbdillah Mohamed
917
asked Nov 29 '18 at 9:14
Abdillah MohamedAbdillah Mohamed
917
asked Nov 29 '18 at 9:14
Abdillah MohamedAbdillah Mohamed
917
917
add a comment |
add a comment |
0
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