{% extends 'base.html' %} {% block header %}
{% include '/documentation/main.html' %}

<div class="sidenav">
  <a href="#main">Overview</a>
  <a href="#services">Model Monitoring</a>
</div>
 {% endblock %}



      {% block
    content %}

<div class="main">
  <h2>Unsupervised Learning</h2>
  <p>Unsupervised machine learning is used to discover the partition/grouping in dataset. We support unsupervised machine learning in our platform by the following link:

      <br/>
      <a href="https://www.gypsysystem.com/unsupervised_model"> https://www.gypsysystem.com/unsupervised_model </a>


      When you save your model, it is hosted on our platform and ready
    to call through REST API. The url to send request is found on your homepage.
    For example if your model's REST API is like:
    <pre>    <code class="html">REST API: curl https://inference.gypsysystem.com/restapi/tasks/1 -d data='{"sepal.length":5.1, "sepal.width":3.5, "petal.length":1.4, "petal.width":0.2, "class":1}' -d model_name="aniris" -d username=nawshin.nusrat.hasan@gmail.com -d token=3dfc34
</code></pre>
    <pre>    <code id="sourcecode" class="python">
import requests

data = {
    'data': '{"sepal.length":5.1, "sepal.width":3.5, "petal.length":1.4, "petal.width":0.2, "class":1}',
    'model_name': 'aniris',
    'username': 'nawshin.nusrat.hasan@gmail.com',
    'token':'3dfc34'
}

response = requests.post('https://inference.gypsysystem.com/restapi/tasks/1', data=data)
print(response.json())
</code>
</pre>
  </p>
  <p></p>
</div>
<div id="services" class="main">
  <h2>Model Monitoring</h2>
  <p></p>
</div>





    <hr> {% endblock %}