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Description
LexVec represents a cutting-edge word embedding technique that excels in various natural language processing applications by factorizing the Positive Pointwise Mutual Information (PPMI) matrix through the use of stochastic gradient descent. This methodology emphasizes greater penalties for mistakes involving frequent co-occurrences while also addressing negative co-occurrences. Users can access pre-trained vectors, which include a massive common crawl dataset featuring 58 billion tokens and 2 million words represented in 300 dimensions, as well as a dataset from English Wikipedia 2015 combined with NewsCrawl, comprising 7 billion tokens and 368,999 words in the same dimensionality. Evaluations indicate that LexVec either matches or surpasses the performance of other models, such as word2vec, particularly in word similarity and analogy assessments. The project's implementation is open-source, licensed under the MIT License, and can be found on GitHub, facilitating broader use and collaboration within the research community. Furthermore, the availability of these resources significantly contributes to advancing the field of natural language processing.
Description
Model building software for today's machine learning age incorporates credit risk modelling expertise spanning over thirty years. Modeller is a flexible, transparent, interactive, and feature-rich tool that helps organizations get more out of their analytical teams. It allows for a variety of techniques, rapid development of powerful models, full explanation, and advancement of less experienced members of the team.
You can choose from a variety of modeling techniques, including machine-learning, to achieve optimal predictive accuracy, especially when working with complex interrelationships and multicollinearity. At the touch of a button, you can create industry-standard binary and continuous target models. You can use decision tree modeling with CHAID trees and CART. You can choose from logistic regression, elastic network models, survival analysis (Cox PH), random forest, XGBoost and stochastic gradient descend.
SAS, SQL and PMML are all available export options for use in other scoring and decisioning programs.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Alexandre Salle
Country
Brazil
Website
github.com/alexandres/lexvec
Vendor Details
Company Name
Paragon Business Solutions
Founded
1991
Country
United Kingdom
Website
www.credit-scoring.co.uk/modeller