kangjin2014

from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split
from sklearn import linear_model
from sklearn.metrics import accuracy_score

corpus = pd.Series(group_topic).apply(lambda x : ' '.join(element for element in x))

df_train = pd.read_csv('/Users/kangjin/desktop/meetup_topic/training.csv')
df_train.columns=['index','lable','column']
Y_train = df_train['lable']

kangjin2014

# import flask(rest api) and jwt(auth)
from flask import Flask
from flask_restful import Resource, Api
from flask_jwt import JWT, jwt_required

app = Flask(__name__)
app.config['SECRET_KEY'] = 'super-secret'

api = Api(app, prefix="/api/v1")