def annotations():
callback = request.GET.get('callback')
documentId = request.GET.get('document_id')
#classifier_name = request.GET.get('classifier_name')
classifier_dump = request.GET.get('classifier')
questionId = request.GET.get('question_id')
collection_id = request.GET.get('collection_id')
range = request.GET.get('range')
meh = StringIO(classifier_dump)
buff = meh.getvalue()
clf = pickle.loads(buff)
features_train, labels_train = wtf.getArrays(collection_id)
print("params :")
#print("classifier_name" + classifier_name)
print("classifier_dump" + classifier_dump)
print("question_id" + question_id)
print("collection_id" + collection_id)
print("range" + range)
print("document_id" + document_id)
preditions = clf.predict(features_train)
data = preds_to_send(questionId, documentId, preditions[0], range)
put.send("http://localhost:8080/dataprocessing/rest-api/annotations", data)
return '{0}({1})'.format(callback, {'a': 1, 'b': 2})
def annotations():
callback = request.GET.get('callback')
documentId = request.GET.get('document_id')
#classifier_name = request.GET.get('classifier_name')
classifier_dump = request.GET.get('classifier')
questionId = request.GET.get('question_id')
collection_id = request.GET.get('collection_id')
range = request.GET.get('range')
meh = StringIO(classifier_dump)
buff = meh.getvalue()
clf = pickle.loads(buff)
features_train, labels_train = wtf.getArrays(collection_id)
print("params :")
#print("classifier_name" + classifier_name)
print("classifier_dump" + classifier_dump)
print("question_id" + question_id)
print("collection_id" + collection_id)
print("range" + range)
print("document_id" + document_id)
preditions = clf.predict(features_train)
data = preds_to_send(questionId,documentId,preditions[0],range)
put.send("http://localhost:8080/dataprocessing/rest-api/annotations", data)
return '{0}({1})'.format(callback, {'a':1, 'b':2})
def test():
callback = request.GET.get('callback')
classifier_name = request.GET.get('classifier_name')
classifier_dump = request.GET.get('classifier')
collection_id = request.GET.get('collection_id')
print("Params :")
print(classifier_name)
features_train, labels_train = wtf.getArrays(collection_id)
clf = pickle.loads(classifier_dump)
preditions, accuracy, recall, precision = classifier.test(clf = clf, features = features_train, labels = labels_train)
print("Test :")
print("accuracy" + accuracy)
print("precision" + precision)
print("recall" + recall)
data1 = test_data_to_send(classifier_id, 0, " ", precision, accuracy, recall)
post.send("http://localhost:8080/dataprocessing/rest-api","/result_test_classifier","",data1)
return '{0}({1})'.format(callback, {'a':1, 'b':2})
def test():
callback = request.GET.get('callback')
classifier_name = request.GET.get('classifier_name')
classifier_dump = request.GET.get('classifier')
collection_id = request.GET.get('collection_id')
print("Params :")
print(classifier_name)
features_train, labels_train = wtf.getArrays(collection_id)
clf = pickle.loads(classifier_dump)
preditions, accuracy, recall, precision = classifier.test(
clf=clf, features=features_train, labels=labels_train)
print("Test :")
print("accuracy" + accuracy)
print("precision" + precision)
print("recall" + recall)
data1 = test_data_to_send(classifier_id, 0, " ", precision, accuracy,
recall)
post.send("http://localhost:8080/dataprocessing/rest-api",
"/result_test_classifier", "", data1)
return '{0}({1})'.format(callback, {'a': 1, 'b': 2})
