Get a prediction - Lucidworks documentation

Admin

Apps Manager

Async Parsing

Connectors

Indexing

Job Config

Job Launcher

Job Rest Server

ML Model Service

Proxy

Query

Templating

Get a prediction

import requests

url = "https://{FUSION HOST}/api/ai/ml-models/{modelId}/prediction"

payload = { "text": "Hello world.  How are you doing today?" }
headers = {"Content-Type": "application/json"}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

HttpResponse<String> response = Unirest.post("https://{FUSION HOST}/api/ai/ml-models/{modelId}/prediction")
  .header("Content-Type", "application/json")
  .body("{\n  \"text\": \"Hello world.  How are you doing today?\"\n}")
  .asString();

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({text: 'Hello world.  How are you doing today?'})
};

fetch('https://{FUSION HOST}/api/ai/ml-models/{modelId}/prediction', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

require 'uri'
require 'net/http'

url = URI("https://{FUSION HOST}/api/ai/ml-models/{modelId}/prediction")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"text\": \"Hello world.  How are you doing today?\"\n}"

response = http.request(request)
puts response.read_body

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://{FUSION HOST}/api/ai/ml-models/{modelId}/prediction"

	payload := strings.NewReader("{\n  \"text\": \"Hello world.  How are you doing today?\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://{FUSION HOST}/api/ai/ml-models/{modelId}/prediction",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'text' => 'Hello world.  How are you doing today?'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

curl --request POST \
  --url https://{FUSION HOST}/api/ai/ml-models/{modelId}/prediction \
  --header 'Content-Type: application/json' \
  --data '
{
  "text": "Hello world.  How are you doing today?"
}
'

{
  "score": [
    "0.8543054461479187"
  ],
  "label": [
    "positive"
  ],
  "_rawJsonResponse": "{\n  \"names\": [\"label\", \"score\", \"tokens\", \"attention_weights\"],\n  \"ndarray\": [[\"positive\"], [\"0.8543054461479187\"]]\n}"
}

POST

ml-models

{modelId}

prediction

Get a prediction

import requests

url = "https://{FUSION HOST}/api/ai/ml-models/{modelId}/prediction"

payload = { "text": "Hello world.  How are you doing today?" }
headers = {"Content-Type": "application/json"}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

HttpResponse<String> response = Unirest.post("https://{FUSION HOST}/api/ai/ml-models/{modelId}/prediction")
  .header("Content-Type", "application/json")
  .body("{\n  \"text\": \"Hello world.  How are you doing today?\"\n}")
  .asString();

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({text: 'Hello world.  How are you doing today?'})
};

fetch('https://{FUSION HOST}/api/ai/ml-models/{modelId}/prediction', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

require 'uri'
require 'net/http'

url = URI("https://{FUSION HOST}/api/ai/ml-models/{modelId}/prediction")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"text\": \"Hello world.  How are you doing today?\"\n}"

response = http.request(request)
puts response.read_body

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://{FUSION HOST}/api/ai/ml-models/{modelId}/prediction"

	payload := strings.NewReader("{\n  \"text\": \"Hello world.  How are you doing today?\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://{FUSION HOST}/api/ai/ml-models/{modelId}/prediction",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'text' => 'Hello world.  How are you doing today?'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

curl --request POST \
  --url https://{FUSION HOST}/api/ai/ml-models/{modelId}/prediction \
  --header 'Content-Type: application/json' \
  --data '
{
  "text": "Hello world.  How are you doing today?"
}
'

{
  "score": [
    "0.8543054461479187"
  ],
  "label": [
    "positive"
  ],
  "_rawJsonResponse": "{\n  \"names\": [\"label\", \"score\", \"tokens\", \"attention_weights\"],\n  \"ndarray\": [[\"positive\"], [\"0.8543054461479187\"]]\n}"
}

Path Parameters

modelId

string

required

Body

application/json

The body is of type object.

Response

The response is of type object.