def __init__(self):
'''
Ope file to data analysis
'''
open_ = OpenFile()
self.data_ = open_.openfile()
self.X_train, self.X_test, self.y_train, self.y_test = None, None, None, None
#########################################################################################################
'''LIST'''
#########################################################################################################
self.classifiers = [
DecisionTreeClassifier(),
RandomForestClassifier(),
GradientBoostingClassifier()
]
self.proba_list = []
self.recall_classifier = []
self.precision_classifier = []
self.c_matrix_classifier = []
self.y_predicted_all = []
self.fpr_all = []
self.tpr_all = []
self.accuracy_score_all = []
self.auc_all = []
self.y_predicted_all = []
from flask import Flask
from flask import render_template
from flask import request
import json
import cPickle
import sys
sys.path.append(
"/home/patanjalichanakya/Documents/Galvanize/find_defaulter/code/")
from data_cleaning import OpenFile
from model_building import ModelBuilding
app = Flask(__name__)
open_ = OpenFile()
df = open_.openfile()
country_code = list(df.country_code)
activity = list(df.activity)
status = list(df.status)
sector = list(df.sector)
lat = list(df.lat)
long_ = list(df.long)
with open(
"/home/patanjalichanakya/Documents/Galvanize/find_defaulter/data/country_code_list_1638.pickle"
) as f:
file_read = f.read()
country_name = cPickle.loads(file_read)