CodedThemes Gradient Able Bootstrap Admin

Website

codedthemes.com

Pricing URL

Official CodedThemes Gradient Able Bootstrap Admin Pricing

$ Details

freemium $29.0 / One-off

Platforms

Web Browser

Release Date

2017 November

Categories

#Bootstrap Themes #Data Dashboard #Templates #Developer Tools

Spearmint

Website

github.com

Pricing URL

-

$ Details

-

Platforms

-

Release Date

-

Categories

#Personal Finance #Finance #Financial Planner #Developer Tools

CodedThemes Gradient Able Bootstrap Admin features and specs

• 200+ Pages
  We've created 200+ Pages, which cover almost everything
• Faster Loading Speed
  Page render fast with the best score in Google Page Speed Tool
• 14+ New Advance Layouts
  We've designed 14+ new layouts which you never saw before
• New - Live Customizer
  Real-time page customizer with tons of options to choose
• Retina Responsive Ready
  Every component are highly responsive and retina ready too
• Support/Helper Guide
  Detailed documentation is written out for each component
• Charts
  Highlight your statistics data in visual foam using 50+ pre-designed charts
• 150+ Widgets
  Ready to use Dashboard Widgets as per your demand
• Plugins
  We've integrated every possible 3'rd party plugins which suits your backend need

Spearmint features and specs

• Bayesian Optimization
  Spearmint uses Bayesian optimization for hyperparameter tuning, which provides an efficient way to explore the hyperparameter space and can lead to better models by finding optimal parameter settings.
• Automated Tuning
  The tool automates the hyperparameter tuning process, reducing the need for manual intervention and expert knowledge, which saves time and effort for practitioners.
• Probabilistic Modeling
  Spearmint uses Gaussian processes to model the objective function, which can provide uncertainty estimates and help guide the search for the best hyperparameters.
• Parallel Evaluations
  The system can perform parallel evaluations of hyperparameters, increasing efficiency and reducing the computational time needed to find optimal solutions.
• Open Source
  Being open source, Spearmint provides transparency and allows for customization and improvements by the community.

Possible disadvantages of Spearmint

• Complexity
  Spearmint can be complex to set up and use, especially for users who are not familiar with Bayesian optimization or machine learning in general.
• Scalability
  While it supports parallel evaluations, Spearmint might struggle with scalability when dealing with a very large number of hyperparameters or data points.
• Resource Intensive
  The use of Gaussian processes and Bayesian techniques can be computationally expensive, requiring significant resources, particularly for large datasets or complex models.
• Limited by Model Assumptions
  The performance of Spearmint can be affected by the assumptions inherent in Gaussian processes, which may not always be optimal for all types of objective functions.
• Potential Overfitting
  Like other hyperparameter optimization methods, there is a risk of overfitting to the validation set, particularly if the model evaluation process or dataset is not managed carefully.

Gradient Able Bootstrap 4 & angular 7 admin template

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