Introducing G2.ai, the future of software buying.Try now
QuerySurge
Sponsored
QuerySurge
Visit Website
Product Avatar Image
metric-learn

By metric-learn

Re-claim Profile

Re-claim your company’s G2 profile

This profile hasn’t been active for over a year.
If you work at metric-learn, you can re-claim it to keep your company’s information up to date and make the most of your G2 presence.

    Once approved, you can:

  • Update your company and product details

  • Boost your brand's visibility on G2, search and LLMs

  • Access insights on visitors and competitors

  • Respond to customer reviews

  • We’ll verify your work email before granting access.

Re-claim
4.0 out of 5 stars
3 star
0%
2 star
0%
1 star
0%

How would you rate your experience with metric-learn?

QuerySurge
Sponsored
QuerySurge
Visit Website

metric-learn Pros and Cons: Top Advantages and Disadvantages

Quick AI Summary Based on G2 Reviews

Generated from real user reviews

Users praise problem-solving capabilities of metric-learn, effectively handling diverse data and judgments beyond simple tuples. (1 mentions)
Users value the high-quality, well-tested metrics offered by metric-learn, enhancing their analysis and model performance. (1 mentions)
Users find the documentation lacking, making it challenging to understand the algorithms and their details. (1 mentions)

Top Pros or Advantages of metric-learn

1. Problem Solving
Users praise problem-solving capabilities of metric-learn, effectively handling diverse data and judgments beyond simple tuples.
See 1 mentions

See Related User Reviews

Verified User
U

Verified User

Enterprise (> 1000 emp.)

3.5/5

"Metric based supervised learning"

What do you like about metric-learn?

Weakly supervised metric learning is the best, it has the power to operate on judgments and different data objects rathern than just points such as tu

2. Quality
Users value the high-quality, well-tested metrics offered by metric-learn, enhancing their analysis and model performance.
See 1 mentions

See Related User Reviews

Verified User
U

Verified User

Mid-Market (51-1000 emp.)

4.5/5

"Good open source library for several ML algorithms"

What do you like about metric-learn?

The off the shelf well tested metrics provided upfront by the library.

Top Cons or Disadvantages of metric-learn

1. Poor Documentation
Users find the documentation lacking, making it challenging to understand the algorithms and their details.
See 1 mentions

See Related User Reviews

Verified User
U

Verified User

Mid-Market (51-1000 emp.)

4.5/5

"Good open source library for several ML algorithms"

What do you dislike about metric-learn?

Documentation and details of the algorithms are not in very much detail.

metric-learn Reviews (3)

Reviews

metric-learn Reviews (3)

4.0
3 reviews
Search reviews
Filter Reviews
Clear Results
G2 reviews are authentic and verified.
Verified User in Computer & Network Security
UC
Mid-Market (51-1000 emp.)
"Good open source library for several ML algorithms"
What do you like best about metric-learn?

The off the shelf well tested metrics provided upfront by the library. Review collected by and hosted on G2.com.

What do you dislike about metric-learn?

Documentation and details of the algorithms are not in very much detail. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services
UI
Enterprise (> 1000 emp.)
"Metric based supervised learning"
What do you like best about metric-learn?

Weakly supervised metric learning is the best, it has the power to operate on judgments and different data objects rathern than just points such as tuples. Review collected by and hosted on G2.com.

What do you dislike about metric-learn?

Plotting is not that great, but can use thrid party tools, but one of the best tools out there. Review collected by and hosted on G2.com.

KT
Mid-Market (51-1000 emp.)
"Machine Learning library for Python"
What do you like best about metric-learn?

Good machine learning library for Python, relatively easy to setup and has a lot of algorithms built in. I just the large margin nearest neighbor algorithm for customer group mapping. Review collected by and hosted on G2.com.

What do you dislike about metric-learn?

Nothing that I really dislike. It's a good library. Review collected by and hosted on G2.com.

There are not enough reviews of metric-learn for G2 to provide buying insight. Below are some alternatives with more reviews:

1
Automation Anywhere Logo
Automation Anywhere
4.5
(5,543)
Automation Anywhere Enterprise is an RPA platform architected for the digital enterprise.
2
Demandbase One Logo
Demandbase One
4.4
(1,897)
The biggest and fastest growing companies in the world rely on Demandbase to drive their ABM and ABX strategies and to maximize their go-to-market performance. With the Demandbase ABX Cloud, fueled by our Account Intelligence, you have one platform to connect your 1st and 3rd party data for one view of the account, making it easy for revenue teams to stay coordinated across the entire buying journey, from prospect to customer.
3
Phrase Localization Platform Logo
Phrase Localization Platform
4.5
(1,236)
Phrase Localization Platform is the translation management system for global companies wanting to improve localization efficiency.
4
DigitalOcean Logo
DigitalOcean
4.6
(732)
DigitalOcean provides the best tools to control your virtual server in the cloud. Learn how we deliver the most intuitive interface and features so you can start building your web infrastructure today.
5
Alteryx Logo
Alteryx
4.6
(663)
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
6
SAS Viya Logo
SAS Viya
4.3
(610)
As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.
7
Vertex AI Logo
Vertex AI
4.3
(593)
Vertex AI is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Vertex AI Workbench is a cloud-based IDE that is included with Vertex AI. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging. Vertex AI and Vertex AI Workbench are a powerful combination that can help you accelerate your ML development. With Vertex AI, you can focus on building and training your models, while Vertex AI Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster. If you're looking for a powerful and easy-to-use ML platform, then Vertex AI is a great option. With Vertex AI, you can build, train, and deploy ML models faster and easier than ever before.
8
SAP HANA Cloud Logo
SAP HANA Cloud
4.3
(567)
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.
9
Spotfire Analytics Logo
Spotfire Analytics
4.2
(363)
Self-service data discovery. Fastest to actionable insight. Collaborative, predictive, event-driven data analysis - free from IT.
10
Prolific Logo
Prolific
4.6
(232)
We help facilitate a higher standard of online research. Conduct research with 130,000+ vetted participants and gain insights you can rely on.
Show More