humpday | Elo ratings for global black box derivative-free optimizers | Machine Learning library

 by   microprediction Python Version: 0.7.1 License: MIT

kandi X-RAY | humpday Summary

kandi X-RAY | humpday Summary

humpday is a Python library typically used in Artificial Intelligence, Machine Learning applications. humpday has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install humpday' or download it from GitHub, PyPI.

Elo ratings for global black box derivative-free optimizers
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            kandi-support Support

              humpday has a low active ecosystem.
              It has 100 star(s) with 16 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 23 open issues and 3 have been closed. On average issues are closed in 12 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of humpday is 0.7.1

            kandi-Quality Quality

              humpday has 0 bugs and 0 code smells.

            kandi-Security Security

              humpday has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              humpday code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              humpday is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              humpday releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed humpday and discovered the below as its top functions. This is intended to give you an instant insight into humpday implemented functionality, and help decide if they suit your requirements.
            • Verify a Markowitz problem
            • Generate a solution for a given dimension
            • Computes a nice divisor of a and b
            • Make the sigma matrix
            • Creates a timing
            • Return the maximum number of dimensions
            • Create the benchmarks
            • Minimize objective function
            • Minimizes objective function
            • Wrapper function for recommendations
            • Convert a log space to a log space
            • Scales a logarithmic logarithm
            • Run the Markowitz return on the given optimizer
            • Computes the Markowitz return on the given cube
            • Convert a score to a z - curve
            • Calculate the Ackley on a cube
            • Computes the Markowitz skew on a cube
            • Calculates Voronoi on a cube
            • Check if a problem is broken
            • Calculate the balance of a given cube
            • Returns the rating for a given strategy
            • Compares a list of objectives
            • Calculate best recommendations
            • Generates a set of points that fit a set of objectives
            • A markowitz example
            • Return the time of the optimizer
            • Plot a 2d mesh
            • Example demo of the optimizer
            Get all kandi verified functions for this library.

            humpday Key Features

            No Key Features are available at this moment for humpday.

            humpday Examples and Code Snippets

            Install
            Pythondot img1Lines of Code : 21dot img1License : Permissive (MIT)
            copy iconCopy
            pip install humpday
            pip install humpday[full]
            
            pip install git+https://github.com/microprediction/humpday
            
            pip install cython pybind11
            brew install openblas
            export OPENBLAS=/opt/homebrew/opt/openblas/lib/
            
            pip install scikit-optimize
            pip install optu  
            humpday ,Recommendations
            Pythondot img2Lines of Code : 10dot img2License : Permissive (MIT)
            copy iconCopy
                from pprint import pprint 
                from humpday import suggest
                pprint(suggest(n_dim=5, n_trials=130,n_seconds=5*60))
            
                from humpday import recommend
            
                def my_objective(u):
                    time.sleep(0.01)
                    return u[0]*math.sin(u[1])
            
                rec  
            humpday ,Points race
            Pythondot img3Lines of Code : 2dot img3License : Permissive (MIT)
            copy iconCopy
                from humpday import points_race
                points_race(objectives=[my_objective]*2,n_dim=5, n_trials=100)
              

            Community Discussions

            QUESTION

            Why does Chrome not expand an outer grid when the inner grid does
            Asked 2017-Dec-14 at 15:43

            I have a nested grid layout made with capital G Grid styles. In the nested grid there is an image set to 100% width, which causes its height to grow proportionally and its immediate parent grid to expand vertically. However, in Chrome the grand-parent grid does not grow.

            I've mocked up the situation here: https://codepen.io/anon/pen/vpEVZj?editors=1100

            The first, .single-grid displays fine, but the second .outer-grid does not.

            Is this a bug in Chrome or am I missing something?

            Edit: Today, neither the demo, nor my application are showing this issue. Maybe it's just a humpday issue.

            ...

            ANSWER

            Answered 2017-Dec-13 at 23:54

            Not sure what the reason is, but you can get the expected behavior in Chrome by changing grid-template-columns: auto to 1fr:

            Source https://stackoverflow.com/questions/47803719

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install humpday

            The full option will try to install a slew of optim packages. You may prefer to do that piecemeal. See below. File an issue if you have problems. See this thread if you have issues on mac silicon M1. Some of these are really good, but not 100% stable on all platforms we've used.

            Support

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            Install
          • PyPI

            pip install humpday

          • CLONE
          • HTTPS

            https://github.com/microprediction/humpday.git

          • CLI

            gh repo clone microprediction/humpday

          • sshUrl

            git@github.com:microprediction/humpday.git

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