<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: Dominik Safaric</title>
    <description>The latest articles on DEV Community by Dominik Safaric (@dominik_safaric_b47bfbdd7).</description>
    <link>https://dev.to/dominik_safaric_b47bfbdd7</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F2578588%2F9e3c2605-c239-40e1-9667-52b580019431.jpeg</url>
      <title>DEV Community: Dominik Safaric</title>
      <link>https://dev.to/dominik_safaric_b47bfbdd7</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/dominik_safaric_b47bfbdd7"/>
    <language>en</language>
    <item>
      <title>Forecast anything without the ML hustle.</title>
      <dc:creator>Dominik Safaric</dc:creator>
      <pubDate>Mon, 16 Dec 2024 20:49:24 +0000</pubDate>
      <link>https://dev.to/dominik_safaric_b47bfbdd7/forecast-anything-without-the-ml-hustle-45b8</link>
      <guid>https://dev.to/dominik_safaric_b47bfbdd7/forecast-anything-without-the-ml-hustle-45b8</guid>
      <description>&lt;p&gt;Getting accurate univariate forecasts shouldn’t require weeks of effort or a degree in machine learning. Whether it’s planning inventory, predicting energy output, or optimizing a supply chain, time series forecasting should be simple, scalable, and reliable.&lt;/p&gt;

&lt;p&gt;That’s why we built &lt;strong&gt;Sulie&lt;/strong&gt;: a foundation model designed to make forecasting easier, faster, and accessible to everyone.&lt;/p&gt;

&lt;p&gt;🔎 &lt;strong&gt;What Is Sulie?&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Sulie is a foundation model for time series forecasting. Trained on diverse datasets across industries and tasks, Sulie is industry-agnostic and data-flexible, making it capable of tackling a wide range of time series forecasting problems without requiring task-specific customization.&lt;/p&gt;

&lt;p&gt;🥁 &lt;strong&gt;Why Sulie?&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Here’s why Sulie stands out:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Forecast in a Few Lines of Code&lt;/strong&gt; - start forecasting quickly, without complex pipelines or setup.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Auto Fine-Tuning&lt;/strong&gt; - Sulie adapts to your data to improve accuracy while you stay focused on your goals.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Zero ML Hassle&lt;/strong&gt; - No need to train models, fiddle with hyperparameters or deal with infrastructure. Sulie takes care of the heavy lifting.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;🔥 &lt;strong&gt;Real-World Use Cases&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Sulie is perfect for:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Energy&lt;/strong&gt; - Predict renewable energy output, like wind or solar generation.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Retail&lt;/strong&gt; - Plan product restocking and forecast sales trends.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Supply Chain&lt;/strong&gt; - Optimize logistics and reduce inventory costs.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Financial Data&lt;/strong&gt; - Forecast trends in revenue or expenses.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;📚 &lt;strong&gt;How It Works&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Integrating Sulie into your workflow or SaaS is simple. Here’s an example:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight python"&gt;&lt;code&gt;&lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="n"&gt;os&lt;/span&gt;
&lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="n"&gt;pandas&lt;/span&gt; &lt;span class="k"&gt;as&lt;/span&gt; &lt;span class="n"&gt;pd&lt;/span&gt;
&lt;span class="kn"&gt;from&lt;/span&gt; &lt;span class="n"&gt;sulie&lt;/span&gt; &lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="n"&gt;Sulie&lt;/span&gt;

&lt;span class="n"&gt;client&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="nc"&gt;Sulie&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;
    &lt;span class="n"&gt;api_key&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="n"&gt;os&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;environ&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nf"&gt;get&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;SULIE_API_KEY&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
&lt;span class="p"&gt;)&lt;/span&gt;

&lt;span class="c1"&gt;# Prepare your data
&lt;/span&gt;&lt;span class="n"&gt;df&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;pd&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nc"&gt;DataFrame&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;your_data&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;

&lt;span class="c1"&gt;# Upload a dataset
&lt;/span&gt;&lt;span class="n"&gt;dataset&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;client&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nf"&gt;upload_dataset&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;
    &lt;span class="n"&gt;name&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;product-purchases-v1&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; 
    &lt;span class="n"&gt;df&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="n"&gt;df&lt;/span&gt;
&lt;span class="p"&gt;)&lt;/span&gt;

&lt;span class="c1"&gt;# Forecast on time-series data                                                           
&lt;/span&gt;&lt;span class="n"&gt;forecast&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;client&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="nf"&gt;forecast&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;
    &lt;span class="n"&gt;dataset&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;product-purchases-v1&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
    &lt;span class="n"&gt;horizon&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="mi"&gt;30&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="c1"&gt;# 30 time steps ahead
&lt;/span&gt;    &lt;span class="n"&gt;target_col&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;&lt;span class="s"&gt;y&lt;/span&gt;&lt;span class="sh"&gt;"&lt;/span&gt;
&lt;span class="p"&gt;)&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;&lt;strong&gt;Get Started&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Explore Sulie on &lt;a href="https://github.com/wearesulie/sulie" rel="noopener noreferrer"&gt;GitHub&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;Learn more at &lt;a href="https://sulie.co" rel="noopener noreferrer"&gt;sulie.co&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;

</description>
      <category>machinelearning</category>
      <category>ai</category>
      <category>python</category>
      <category>datascience</category>
    </item>
  </channel>
</rss>
