Make your apps

Give "Machine Learning" power to your apps.

Machine Learning for Everyone

Spend less time developing your own machine learning system and more time focusing on your product.

High Accuracy

Our technology delivers higher accuracy than any other leading machine learning services for most use cases.

No Setting or Configurations

HopData Machine Learning Engine analyzes your data and trains your data on over “five” different algorithms. The system also tweaks settings for each algorithm to achieve better performance.

Fully Documented

Detailed documentation and always on call support team when you have any issues.

Machine Learning made easy, beautiful and understandable

HopData is a machine learning service that makes it easy for developers of all skill levels to integrate machine learning technology in their apps. HopData provides visualization tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology. Each dataset is optimized automatically to achieve better accuracy and then trained on multiple algorithms. Once your model is ready, HopData makes it easy to obtain predictions using simple API.

Explore Features

HopData is designed to make machine learning simpler than ever before.

Simple REST API to get the predictions

We provide simple API integration with detailed documentation and sample code in multiple languages.

Take a Second and Explore it!.

Head to our docs and start using the API, try training a model using our “Sample Datasets”.

Better Accuracy than any other leading Machine Learning as a Service

We test your data on “Five” algorithms with “Eight” custom settings and then test them using “5” different test configurations. That is over 40 different algorithmic settings with over 5 complete split cross reference tests on each one.

No Manual Configurations

Our algorithms learns from your data and tweaks the configurations accordingly to get the highest possible accuracy. The algorithm with the highest accuracy is then selected as the winner.

We clean your data so you don't have to

We use our data transformation engine to convert your raw data to clean feature vectors. The propriety technology improves the accuracy by over 10% for most use cases.

Blazing fast model creation

We developed our own algorithms to process large datasets at blazing fast speed processing data in parallel and in-memory computations.

We are completely hosted in the cloud and fully scalable.

Light on your wallet

We love hackathons and startups, hence we want this technology to be used by as many apps as we can. HopData offers the most affordable plans across all leading Machine Learning as a Service platforms. Get started with our free tier.

Amazingly Simple To Use

Every page has been designed and re-designed to be minimalistic, simple and self explanatory.

Clear Documentation

We have created simple, easy to use documentation. With detailed explanation of how to use the platform.

 


How It Works?

 

CSV

 

Upload Dataset

The first column for the training dataset has to be the label, rest of the columns are attributes. The csv can have any number of columns. Hopdata will analyze each column and clean your data.

Read more about input CSV file

:

 

 Create Machine Learning Model

Each model is trained on over five algorithms and tweaks the settings for each algorithm to improve performance. The algorithm with the highest accuracy is selected.

Head over to our docs.

 

 Ready to use API

Once the model is trained, you can test the model using the web form. You can integrate with Hopdata using the API which is a simple POST request and can be called from any language of your choice.

See example code.

Integrating Hopdata API

Integrating with Hopdata is as simple as sending a POST request. You can use any programming language as long you can send a POST request with it. Here are some example codes to call the API.

import requests
import json
headers = {'content-type': 'application/x-www-form-urlencoded'}
url = 'http://api.hopdata.com'
params = {'API_KEY': 'Replace with API KEY',
'model_id': 'Replace with Model ID',
'var1': 'Enter text to predict'}
r = requests.post(url, params=params, data=params, headers=headers)
print r.text

<?php
$url = 'http://api.hopdata.com/';
$data = array(
'API_KEY' => 'Replace with API KEY',
'model_id' => 'Replace with Model ID',
'var1' => 'Enter text to predict'
);
$options = array(
'http' => array(
'header' => "Content-type: application/x-www-form-urlencoded\r\n",
'method' => 'POST',
'content' => http_build_query($data),
),
);
$context = stream_context_create($options);
$result = file_get_contents($url, false, $context);
var_dump($result);
?>

import java.io.BufferedReader;
import java.io.DataOutputStream;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
public class hopdataAPIExample {
    private final String USER_AGENT = "Mozilla/5.0";
    public static void main(String[] args) throws Exception {
        hopdataAPIExample http = new hopdataAPIExample();
        
        System.out.println("nTesting - Send Http POST request");
        http.sendPost();
    }
    
    // HTTP POST request
    private void sendPost() throws Exception {
        String url = "http://api.hopdata.com/index_test.php";
        URL obj = new URL(url);
        HttpURLConnection con = (HttpURLConnection) obj.openConnection();
        //add reuqest header
        con.setRequestMethod("POST");
        con.setRequestProperty("User-Agent", USER_AGENT);
        con.setRequestProperty("Accept-Language", "en-US,en;q=0.5");
        String urlParameters = "API_KEY=Replace with API Key&model_id=Replace with model_id&var1=Text to predict";
        
        // Send post request
        con.setDoOutput(true);
        DataOutputStream wr = new DataOutputStream(con.getOutputStream());
        wr.writeBytes(urlParameters);
        wr.flush();
        wr.close();
        int responseCode = con.getResponseCode();
        System.out.println("nSending 'POST' request to URL : " + url);
        System.out.println("Post parameters : " + urlParameters);
        System.out.println("Response Code : " + responseCode);
        BufferedReader in = new BufferedReader(
                new InputStreamReader(con.getInputStream()));
        String inputLine;
        StringBuffer response = new StringBuffer();
        while ((inputLine = in.readLine()) != null) {
            response.append(inputLine);
        }
        in.close();
        
        //print result
        System.out.println(response.toString());
    }
}

curl -X POST -H "Content-Type: application/x-www-form-urlencoded" -d 'API_KEY=Replace_with_API_Key&model_id=Replace_with_Model_ID&var1=Enter_text_to_predict' "http://api.hopdata.com"