Tuning Hyperparameters in DataRobot
This post was originally part of the DataRobot Community. Visit now to browse discussions and ask questions about DataRobot, AI Cloud, data science, and more.
This article explains DataRobot tools for model hyperparameter tuning.
DataRobot will automatically search for the best hyperparameters to optimize your models. If you wish to investigate the best hyperparameters, or if you wish to change them and tweak them in search for a better model, start by clicking on that model in the Leaderboard.
Then, click on Evaluate > Advanced Tuning.
If you followed the instructions properly, you should be looking at something similar to Figure 2.
At the top, you have three options to choose from:
- New Search
- Best of Searched
The New Search option is for those data scientists looking to initiate a new search of best parameters. The parameters are split into two groups. You have preprocessing parameters like missing value imputation and then you have model parameters like number of trees for example. Click on the parameters you want to change and just type in the value you would like to try out. In some cases, you will even be able to put multiple values in the form of a list.
When you are done, go to the bottom of the menu where you will be able to initiate a Smart Search or a Brute Force search as seen in Figure 3. Please keep in mind that extensive searches can take a long time to compute.
By clicking on Searched, you will be able to see all of the values DataRobot tried out when searching for the best set of hyperparameters.
Best of Searched
Best of Searched will yield just the best parameters based on the search that DataRobot conducted.
If you’d like to find out more about DataRobot’s robust hyperparameter tuning capabilities, please visit our public documentation repository and navigate to the Advanced Tuning section.
We will contact you shortly
We’re almost there! These are the next steps:
- Look out for an email from DataRobot with a subject line: Your Subscription Confirmation.
- Click the confirmation link to approve your consent.
- Done! You have now opted to receive communications about DataRobot’s products and services.
Didn’t receive the email? Please make sure to check your spam or junk folders.
Accelerate Your AI Journey with the DataRobot Partner EcosystemMarch 28, 2023· 3 min read
How MLOps Enables Machine Learning Production at ScaleMarch 23, 2023· 4 min read
A New Era of Value-Driven AIMarch 16, 2023· 2 min read
“AI could contribute up to $15.7 trillion to the global economy by 2030, more than the current output of China and India combined,” according to PwC. The same report estimates that in 2018 alone, AI contributed $2 trillion to the global GDP. Despite the enormous rewards of implementing AI solutions, becoming an AI-driven organization is still a challenge. In our…
You’re sold. You know automated machine learning will provide amazing benefits for your organization. Now you need to convince others with “proof” it works. Where do you start? Essentially, you need to motivate and excite stakeholders with examples of positive bottom-line impact. Based on my real-world experience, here are some tips on how to select the right pilot project for…
With DataRobot AI Cloud for Industries, we’re excited to announce expanded partner-delivered and partner-enabled offerings for these key industries with our growing ecosystem of strategic partners. These solutions are designed to integrate intelligent insights into data platforms, applications, and systems integrator services that provide customers with the critical capabilities they need to accelerate growth, operate at scale and meet the specific challenges facing their industry.