I use Comet for experiment and asset tracking during model development, as well as to support model reproducibility and transparency. I also appreciate the ability to perform an on-prem installation without the need to maintain the installation.
Comet - Licensing only
Comet MLExternal reviews
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Experiment and asset tracking enhance model development and ease of on-prem maintenance
What is our primary use case?
How has it helped my organization?
Previously, we had an on-prem installation that required frequent re-deployment due to internal security standards, which could cause down-time during model development. Using Comet within SageMaker streamlined the deployment process to require zero maintenance and also simplified billing.
What is most valuable?
Model metric tracking and comparison has been extremely beneficial. Comet's customer service has also been excellent. Any issue we've had, they have been able to help us resolve.
What needs improvement?
SageMaker itself has a cumbersome interface, which makes launching Comet somewhat of a hassle.
For how long have I used the solution?
I have used the solution for 3 months.
Which deployment model are you using for this solution?
On-premises
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Comet.ml: Streamlining Machine Learning and Collaborative Experiment Tracking Platform
What do you like best about the product?
Comet.ml provides an easy-to-use interface for tracking experiments, comparing results, and reproducing past results. This helps data scientists and machine learning engineers to keep track of their progress and make informed decisions based on their experiments. Comet.ml integrates with popular version control systems like Git, allowing users to track changes in their code and experiments over time.
What do you dislike about the product?
Comet.ml may not be suitable for large-scale machine learning projects, as it has limited scalability compared to other solutions. Some users may find the platform's user interface and features to be limited, as it may not provide the level of customization they need for their projects.
What problems is the product solving and how is that benefiting you?
Machine learning projects can involve a large number of experiments and it can be difficult to keep track of all the results and make decisions based on them. Comet.ml provides a platform for tracking experiments, comparing results, and reproducing past results, making it easier to manage machine learning projects.
Build and customize better ML models
What do you like best about the product?
Comet.ml is one of the best tools to develop, customize and combine the data in the format you want, which makes it more productive. Comet.ml offers various amount features from monitoring to tracking of the experiments.
What do you dislike about the product?
There is no dislike using comet.ml. Goals that need intense demands can be achieved effortlessly.
What problems is the product solving and how is that benefiting you?
Models can be optimized and managed in their ML lifecycle. The data can be combined and represented in the format needed by the user. Provides extensive support in whichever cloud it is running.
Best free model building solution
What do you like best about the product?
Most liked thing for me is speed , how it offers very high speed for building Machine learning models.
What do you dislike about the product?
So far I don't see anything to dislike . Completely fine for all my needs
What problems is the product solving and how is that benefiting you?
Applying solutions for healthcare related models
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