Predict New Restaurant Rating In Yelp
Details
The restaurant industry is tougher than ever, with reviews on the Internet from the first day a restaurant opens. But as a food lover, you and your friend decide to enter the industry and open your own restaurant. Because a restaurant's success is highly correlated to its reputation, you want to make sure that your restaurant gets the best reviews on the most popular restaurant review site: Yelp!
-
Verified
Use Cases
If you 're launching a new fancy restaurant and want to predict the review you'll get in Yelp, this endpoint is for you!
0 Comments
Endpoints (2)
Title:
Endpoint #1 Model Details
Description:
Base URL:
Requests:
Token:
every API have unique token. You'll get one once you activate the endpoint
Example responses
Press button to test this endpoint response
Code Examples:
Expected Response
Endpoint #1 Model Details
Description:
Endpoint to see the coefficients, intercepts of the trained model
Base URL:
https://www.dataendpoint.co/machine-learning-apis/predict-new-restaurant-rating-in-yelp/get-api
# GET
/current-details/<token>
every API have unique token. You'll get one once you activate the endpoint
Press button to test this endpoint response
Code Examples:
const
axios = require('axios');
axios({
"method":
"GET",
"url":
https://www.dataendpoint.co/machine-learning-apis/predict-new-restaurant-rating-in-yelp/get-api/current-details/<token>
"headers": {
"content-type":
"application/json"
}
}).then((response) => {
// handle sucess
console.log(response)
}).catch((error) => {
// handle error
console.log(error)
})
import
requests
url =
https://www.dataendpoint.co/machine-learning-apis/predict-new-restaurant-rating-in-yelp/get-api/current-details/<token>
headers = {
"content-type":
"application/json"
}
response =
requests.request("GET", url, headers=headers)
print
(response.text)
require
'httparty'
url =
https://www.dataendpoint.co/machine-learning-apis/predict-new-restaurant-rating-in-yelp/get-api/current-details/<token>
response =
HTTParty.get(url,
headers: { "Content-Type" => "application/json" })
puts
response.parsed_response
<?php
$curl =
curl_init();
$url =
https://www.dataendpoint.co/machine-learning-apis/predict-new-restaurant-rating-in-yelp/get-api/current-details/<token>
curl_setopt_array($curl, array(
CURLOPT_URL => $url,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => array(
"Content-Type: application/json"
),
));
$response =
curl_exec($curl);
curl_close($curl);
echo
$response;
Expected Response
Title:
Endpoint #2 Predict Rating
Description:
Base URL:
Requests:
Token:
every API have unique token. You'll get one once you activate the endpoint
Body params:
Code Examples:
Example responses
Enter next parameters to test endpoint response
Expected Response
Endpoint #2 Predict Rating
Description:
Endpoint receiving prediction parameters from the model
Base URL:
https://www.dataendpoint.co/machine-learning-apis/predict-new-restaurant-rating-in-yelp/post-api
# POST
/predict/<token>
every API have unique token. You'll get one once you activate the endpoint
Body params:
| Body param name | Body param type | Example | Requirement | Params Has Constraint | Params Constraint Value | Description |
|---|---|---|---|---|---|---|
| alcohol | BOOLEAN | false | [Required] | [no constraint] | ||
| has_bike_parking | BOOLEAN | true | [Required] | [no constraint] | ||
| takes_credit_cards | BOOLEAN | true | [Required] | [no constraint] | ||
| good_for_kids | BOOLEAN | true | [Required] | [no constraint] | ||
| take_reservations | BOOLEAN | true | [Required] | [no constraint] | ||
| has_wifi | BOOLEAN | true | [Required] | [no constraint] | ||
| review_count | NUMBER | 10 | [Required] | [no constraint] | ||
| price_range | NUMBER | 2 | [Required] | [no constraint] | ||
| average_caption_length | NUMBER | 3 | [Required] | [no constraint] | ||
| number_pics | NUMBER | 4 | [Required] | [no constraint] | ||
| average_review_age | NUMBER | 0.5 | [Required] | [no constraint] | ||
| average_review_length | NUMBER | 3 | [Required] | [no constraint] | ||
| average_review_sentiment | NUMBER | 0.55 | [Required] | [no constraint] | ||
| number_funny_votes | NUMBER | 2 | [Required] | [no constraint] | ||
| number_cool_votes | NUMBER | 2 | [Required] | [no constraint] | ||
| number_useful_votes | NUMBER | 2 | [Required] | [no constraint] | ||
| average_tip_length | NUMBER | 3 | [Required] | [no constraint] | ||
| number_tips | NUMBER | 2 | [Required] | [no constraint] | ||
| average_number_friends | NUMBER | 2 | [Required] | [no constraint] | ||
| average_days_on_yelp | NUMBER | 10 | [Required] | [no constraint] | ||
| average_number_fans | NUMBER | 11 | [Required] | [no constraint] | ||
| average_review_count | NUMBER | 3 | [Required] | [no constraint] | ||
| average_number_years_elite | NUMBER | 0.5 | [Required] | [no constraint] | ||
| weekday_checkins | NUMBER | 2 | [Required] | [no constraint] | ||
| weekend_checkins | NUMBER | 2 | [Required] | [no constraint] |
Code Examples:
const
axios = require('axios');
axios({
"method":
"POST",
"url":
https://www.dataendpoint.co/machine-learning-apis/predict-new-restaurant-rating-in-yelp/post-api/predict/<token>
"data":
{
"alcohol":
false
,
"has_bike_parking":
true
,
"takes_credit_cards":
true
,
"good_for_kids":
true
,
"take_reservations":
true
,
"has_wifi":
true
,
"review_count":
10
,
"price_range":
2
,
"average_caption_length":
3
,
"number_pics":
4
,
"average_review_age":
0.5
,
"average_review_length":
3
,
"average_review_sentiment":
0.55
,
"number_funny_votes":
2
,
"number_cool_votes":
2
,
"number_useful_votes":
2
,
"average_tip_length":
3
,
"number_tips":
2
,
"average_number_friends":
2
,
"average_days_on_yelp":
10
,
"average_number_fans":
11
,
"average_review_count":
3
,
"average_number_years_elite":
0.5
,
"weekday_checkins":
2
,
"weekend_checkins":
2
}
"headers": {
"content-type":
"application/json"
}
}).then((response) => {
// handle sucess
console.log(response)
}).catch((error) => {
// handle error
console.log(error)
})
import
requests
url =
https://www.dataendpoint.co/machine-learning-apis/predict-new-restaurant-rating-in-yelp/post-api/predict/<token>
data =
{
"alcohol":
false
,
"has_bike_parking":
true
,
"takes_credit_cards":
true
,
"good_for_kids":
true
,
"take_reservations":
true
,
"has_wifi":
true
,
"review_count":
10
,
"price_range":
2
,
"average_caption_length":
3
,
"number_pics":
4
,
"average_review_age":
0.5
,
"average_review_length":
3
,
"average_review_sentiment":
0.55
,
"number_funny_votes":
2
,
"number_cool_votes":
2
,
"number_useful_votes":
2
,
"average_tip_length":
3
,
"number_tips":
2
,
"average_number_friends":
2
,
"average_days_on_yelp":
10
,
"average_number_fans":
11
,
"average_review_count":
3
,
"average_number_years_elite":
0.5
,
"weekday_checkins":
2
,
"weekend_checkins":
2
}
headers = {
"content-type":
"application/json"
}
response =
requests.request("POST", url, data=data, headers=headers)
print
(response.text)
require
'httparty'
url =
https://www.dataendpoint.co/machine-learning-apis/predict-new-restaurant-rating-in-yelp/post-api/predict/<token>
data =
{
"alcohol" =>
false
,
"has_bike_parking" =>
true
,
"takes_credit_cards" =>
true
,
"good_for_kids" =>
true
,
"take_reservations" =>
true
,
"has_wifi" =>
true
,
"review_count" =>
10
,
"price_range" =>
2
,
"average_caption_length" =>
3
,
"number_pics" =>
4
,
"average_review_age" =>
0.5
,
"average_review_length" =>
3
,
"average_review_sentiment" =>
0.55
,
"number_funny_votes" =>
2
,
"number_cool_votes" =>
2
,
"number_useful_votes" =>
2
,
"average_tip_length" =>
3
,
"number_tips" =>
2
,
"average_number_friends" =>
2
,
"average_days_on_yelp" =>
10
,
"average_number_fans" =>
11
,
"average_review_count" =>
3
,
"average_number_years_elite" =>
0.5
,
"weekday_checkins" =>
2
,
"weekend_checkins" =>
2
}
response =
HTTParty.post(url,
body: data.to_json,
headers: { "Content-Type" => "application/json" })
puts
response.parsed_response
<?php
$curl =
curl_init();
$url =
https://www.dataendpoint.co/machine-learning-apis/predict-new-restaurant-rating-in-yelp/post-api/predict/<token>
curl_setopt_array($curl, array(
CURLOPT_URL => $url,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => "
{
"alcohol":
false
,
"has_bike_parking":
true
,
"takes_credit_cards":
true
,
"good_for_kids":
true
,
"take_reservations":
true
,
"has_wifi":
true
,
"review_count":
10
,
"price_range":
2
,
"average_caption_length":
3
,
"number_pics":
4
,
"average_review_age":
0.5
,
"average_review_length":
3
,
"average_review_sentiment":
0.55
,
"number_funny_votes":
2
,
"number_cool_votes":
2
,
"number_useful_votes":
2
,
"average_tip_length":
3
,
"number_tips":
2
,
"average_number_friends":
2
,
"average_days_on_yelp":
10
,
"average_number_fans":
11
,
"average_review_count":
3
,
"average_number_years_elite":
0.5
,
"weekday_checkins":
2
,
"weekend_checkins":
2
}
",
CURLOPT_HTTPHEADER => array(
"Content-Type: application/json"
),
));
$response =
curl_exec($curl);
curl_close($curl);
echo
$response;
Enter next parameters to test endpoint response
Enter parameters
Expected Response
