Nick Walsh nmwalsh

## falcon_gateway.py
# falcon_gateway.py

import falcon
import json
from data_handler import invoke_predict

# Falcon follows the REST architectural style, meaning (among
# other things) that you think in terms of resources and state
# transitions, which map to HTTP verbs.

## predict.py
# predict.py
# Script that should consist of a single method (predict) - passing data in a presumed parsimonious syntax to your model for prediction
#
# In this exaple, predict would require data of the following datatype:
# Pandas DataFrame with features
# X_test= [[ 6.9, 3.2, 5.7, 2.3]]
import os
import pickle
import pandas as pd
import random

## template.html
<!doctype html>
<html lang="en" prefix="op: http://media.facebook.com/op#">
  <head>
    <meta charset="utf-8">
    <!-- URL of the web version of this article -->
    <!-- TODO: Change the domain to match the domain of your website -->
    <link rel="canonical" href="http://example.com/article.html">
    <meta property="op:markup_version" content="v1.0">
  </head>
  <body>
	# falcon_gateway.py

	import falcon
	import json
	from data_handler import invoke_predict

	# Falcon follows the REST architectural style, meaning (among
	# other things) that you think in terms of resources and state
	# transitions, which map to HTTP verbs.
	# predict.py
	# Script that should consist of a single method (predict) - passing data in a presumed parsimonious syntax to your model for prediction
	#
	# In this exaple, predict would require data of the following datatype:
	# Pandas DataFrame with features
	# X_test= [[ 6.9, 3.2, 5.7, 2.3]]
	import os
	import pickle
	import pandas as pd
	import random
	<!doctype html>
	<html lang="en" prefix="op: http://media.facebook.com/op#">
	<head>
	<meta charset="utf-8">
	<!-- URL of the web version of this article -->
	<!-- TODO: Change the domain to match the domain of your website -->
	<link rel="canonical" href="http://example.com/article.html">
	<meta property="op:markup_version" content="v1.0">
	</head>
	<body>