Search Results for "factor analysis"

You should never store sensitive credentials in your code. Storing configuration in the environment is one of the tenets of a twelve-factor app. Anything that is likely to change between deployment environments, such as database credentials or credentials for 3rd party services, should be extracted from the code into environment variables. Basically, a .env file is an easy way to load custom configuration variables that your application needs without having to modify .htaccess files or...

Sentry is a cross-platform, self-hosted error monitoring solution that helps software teams discover, monitor and fix errors in real-time. The most users and logs will have to provide are the clues, and Sentry provides the answers. Sentry offers enhanced application performance monitoring through information-laden stack traces. It lets you build better software faster and more efficiently by showing you all issues in one place and providing the trail of events that lead to errors. It also...

Manage your gas code with GitHub/GitHub enterprise/bitbucket/GitLab. Manage your Google Apps Script code with your favorite SCM (Github/Github enterprise/bitbucket). The new version requires Google OAuth to call Apps Script API, before the OAuth app be verified by Google, it only allow to grant 100 users' permission, if you encounter some errors said can not grant permission to the app, please wait for the verification process completed, sorry for the inconvenience! The extension does not...

This repository, owned by the user zonination (Zoni Nation), presents a data visualization and analysis project on long-term returns from broad stock market indexes, especially the S&P 500. The author gathers historical price data (adjusted for inflation and dividends) and computes growth trajectories under a “buy and hold” strategy over decades. The key insight illustrated is that over sufficiently long holding periods (e.g. 40 years), the stock market stabilizes and nearly always yields...

...The new implemented units are then automatically integrated with the rest of the library. The base of available algorithms is steadily increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others.