ethen8181

# python3.5
import os
import heapq
import joblib
import numpy as np
import pandas as pd
from shapely.geometry import LineString, Point
from sklearn.neighbors import NearestNeighbors
from collections import defaultdict, namedtuple

ethen8181

library(MASS)
library(ROCR)
library(caret)
library(glmnet)
library(magrittr)
library(data.table)
library(doParallel)
setwd('/Users/ethen/Desktop/predictive-project')

ethen8181

"""
The set of stop words when you do this:
from nltk.corpus import stopwords
from sklearn.feature_extraction.stop_words import ENGLISH_STOP_WORDS
ENGLISH_STOP_WORDS = set( stopwords.words('english') ).union( set(ENGLISH_STOP_WORDS) )
"""
ENGLISH_STOP_WORDS = set([
    'a',
    'about',
    'above',

ethen8181

library(dplyr)
library(data.table)

ids <- grid@model_ids

BestGridSearch <- function( ids )
{
	# ------------------------------------------------------------------
	# Description : 
	#     Pass in a list of h2o model id obtained by h2o.grid