mickaellegal

mickaellegal

# We first import all the libraries needed
from flask import Flask, request, render_template, jsonify
from yhat import Yhat
import os

#We create the application object of class Flask
app = Flask(__name__)

# We set our credential to access our model on yhat from the Flask app
yh = Yhat(os.environ.get("YHAT_USERNAME"), os.environ.get("YHAT_APIKEY"))

mickaellegal

{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

mickaellegal

{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

mickaellegal

Heroku create
git push heroku master

# Wait for the application to upload on heroku

heroku config:set YHAT_USERNAME=your_yhat_username
heroku config:set YHAT_APIKEY=your_yhat_api_key

mickaellegal

yh = Yhat("YHAT_USERNAME", "YHAT_APIKEY")
yh.deploy("NYTimesClassifier", myModel)

# Once everything is uploaded you should see the following message
uploading... done!
{u'modelname': u'NYTimesClassifier', u'status': u'success', u'version': 1}

mickaellegal

# Importing the libraries
from scipy.stats.stats import pearsonr
import pandas as pd
import numpy as np
import json

data = pd.read_csv("../../Downloads/data_books.csv", sep = ",", header=None,
                         names=['Reviewer', 'Book', 'Rating'])

# Picking 2 books 

mickaellegal

mickaellegal

dayone://post?entry=My Daily Review

|Daily Review||
|:---|:---|
|Summary|[prompt: Today's one word summary]|
|Did I work?|[list: Did I work today?|Yes|No]|
|Did I relax?|[list: Did I relax today?|Yes|No]|
|Physical Exercise|[list: Did I workout today?|Yes|No]|
|Satisfaction|[list: Am I happy with what I did today?|Yes|No]|
|Goals|[list:Any progress toward my goals?|Yes|No]|

mickaellegal

import pandas as pd
import numpy as np
import csv

file = "YOUR_FILE_PATH"

# Read the csv with python
lines=list(csv.reader(open(file)))

# Get the name of the columns