"AMI+Static", "All", "AMI+Monthly"]
import sys
CLUSTER=True
if CLUSTER:
sys.path.insert(0, '/if6/nb2cz/anaconda/lib/python2.7/site-packages')
sys.path.insert(0, '../code')
import numpy as np
import pandas as pd
from create_df import read_df
df, dfc, all_homes, appliance_min, national_average = read_df()
from all_functions import *
from features import *
SLURM_OUT = "../slurm_out"
from subprocess import Popen
for feature in features:
for appliance in appliances:
for home in all_homes[appliance]:
from flask import Flask, render_template, json, request
import numpy as np
import sys
CLUSTER = True
if CLUSTER:
sys.path.insert(0, '/if6/nb2cz/anaconda/lib/python2.7/site-packages')
import sys
sys.path.append("../code/")
import pandas as pd
import numpy as np
from create_df import read_df
df, dfc, all_homes, appliance_min, national_average = read_df()
from all_functions import *
from features import *
import json
from sklearn.neighbors import KNeighborsRegressor, NearestNeighbors
def predict_appliance(home, appliance, feature):
if home in all_homes[appliance]:
home_to_pick = home
else:
home_to_pick = all_homes[appliance][0]
print home_to_pick