CombOptNet | Source code for the Paper : CombOptNet : Fit the Right NP

by martius-lab Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | CombOptNet Summary

CombOptNet is a Python library. CombOptNet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However CombOptNet build file is not available. You can download it from GitHub.

Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}

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Quality

Security

License

Reuse

Support

CombOptNet has a low active ecosystem.

It has 68 star(s) with 8 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CombOptNet is current.

Quality

CombOptNet has no bugs reported.

Security

CombOptNet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

CombOptNet is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

CombOptNet releases are not available. You will need to build from source code and install.

CombOptNet has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

kandi has reviewed CombOptNet and discovered the below as its top functions. This is intended to give you an instant insight into CombOptNet implemented functionality, and help decide if they suit your requirements.

Compute the mismatch function
Computes the mismatch between two constraints
Compute the mismatch between constraints
Compute signed euclidean distance between constraints
Generate a set of constraints
Return sample constraints
Generates a numpy array of set of constraints
Solve the minimization problem
Performs a training epoch
Gradient of the gradients
Calculate the Hamming loss
Build the model
Attempt to parallelize a function
Builds the model from the KnapsackModule
Save a dict as a CSV file
Calculate loss metrics for the model
Returns a trained trainer
Load file with default yaml
Load static Constraints dataset
Compute the constraints from the forward computation
Calculate the gradient of the backbone function
Computes the Hamming loss
Evaluate the model
Calculate the loss metric for the loss function
Load the knapsack dataset
Load a dataset

Get all kandi verified functions for this library.

CombOptNet Key Features

No Key Features are available at this moment for CombOptNet.

CombOptNet Examples and Code Snippets

No Code Snippets are available at this moment for CombOptNet.

Community Discussions

No Community Discussions are available at this moment for CombOptNet.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install CombOptNet

Run pipenv install (at your own risk with --skip-lock to save some time).
From within the pipenv environment run python3 -m pip install -i https://pypi.gurobi.com gurobipy.
Obtain a license and download/set it.
Download and extract the datasets.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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