hpmpc | Library High-Performance implementation of solvers | Predictive Analytics library

by giaf C Version: v0.2 License: LGPL-2.1

X-Ray Key Features Code Snippets(1)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | hpmpc Summary

hpmpc is a C library typically used in Analytics, Predictive Analytics applications. hpmpc has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

hpmpc is maintained but no longer under active development. the interested user is invited to use hpipm instead, a new and modular implementation of the same algorithms (riccati-based ipm for lqocp and (partial-)condensing). hpmpc -- library for high-performance implementation of solvers for mpc. the library aims at providing routines for high-performance implementation of solvers for linear mpc and mhe. critical linear-algebra routines are highly optimized for a number of different computer architectures. these routines are used to efficiently implement a riccati recursion solver for the uncontrained mpc and mhe problems (lqcp), that in turn is the key routine in solvers for constrained mpc problems. at the moment, interior-point (ip) method and admm (alternating direction method of multipliers) solvers are available for both box and soft constrained mpc problems. the code is highly-optimized for a number of common architectures, plus a reference version in plain c code. the target architecture can be set in the configuration file. the configuration file provides a good choice of compiler and compiler flags for supported architectures, and it can be used to set different values if needed. however, notice that the code is intended

Support

Quality

Security

License

Reuse

Support

hpmpc has a low active ecosystem.

It has 41 star(s) with 30 fork(s). There are 16 watchers for this library.

It had no major release in the last 12 months.

There are 11 open issues and 13 have been closed. On average issues are closed in 12 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of hpmpc is v0.2

Quality

hpmpc has no bugs reported.

Security

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

License

hpmpc is licensed under the LGPL-2.1 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

hpmpc releases are available to install and integrate.

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of hpmpc

Get all kandi verified functions for this library.

hpmpc Key Features

No Key Features are available at this moment for hpmpc.

hpmpc Examples and Code Snippets

default

Lines of Code : 10

License : Weak Copyleft (LGPL-2.1)

Copy

hpmpc_main_folder/Makefile.rule

hpmpc_main_folder/test_problems/Makefile

$ make_static_library

$ make_shared_library

$ make

$ make_install_static_library

$ make_install_shared_library

$ cd hpmcp_main_folder/build
$ cmake ..
$ make

Community Discussions

Trending Discussions on Predictive Analytics

will TensorFlow utilize GPU for predictive Analysis?

Restructuring Pandas Dataframe for large number of columns

Display data from two json files in react native

QUESTION

will TensorFlow utilize GPU for predictive Analysis?

Asked 2020-Nov-21 at 21:35

GPU is good for parallel computing but the problem is some machine learning libraries don't utilize the GPU, unless that machine learning based on image processing or some sort of graphics processing, what if I am using machine learning for predictive Analytics? do libraries like TensorFlow utilize the GPU? or they use only CPU? or can I choose which processing unit to use? whats the deal here?

note: predictive Analysis requires no graphics processing.

...

ANSWER

Answered 2020-Nov-21 at 21:35

The short answer: yes, it will! The slightly longer answer:

The computation that happens in the GPU in any of the machine learning frameworks that support GPUs is not limited to graphical processing. For instance, if your model is a simple logistic regression, a framework such as TensorFlow will run it on the GPU if properly configured.

The advantage of GPUs for machine learning is that training big neural networks benefits greatly from the high level of parallelism that the GPUs offer.

If you want to know more about this, I'd recommend you start here or here.

some things to consider:

how much a model will benefit from running in the GPU will depend on how much it will benefit from parallel computation in general.
Deep Learning models can be applied to predictive analytics, as well as more classical machine learning models. Bear in mind that neural nets are possibly the category of models that will benefit inherently from the GPU (see links above).
Even though running models using GPUs (or even more specialised hardware) can bring benefits, I would suggest that you don't choose a framework and, especially, don't choose an algorithm based solely on the fact that it will benefit from parallelism, but rather look at how appropriate a given algorithm is for the data you have.

Source https://stackoverflow.com/questions/64948197

QUESTION

Restructuring Pandas Dataframe for large number of columns

Asked 2020-Nov-01 at 19:39

I have a pandas dataframe which is a large number of answers given by users in response to a survey and I need to re-structure it. There are up to 105 questions asked each year, but I only need maybe 20 of them.

The current structure is as below.

What I want to do is re-structure it so that the row values become column names and the answer given by the user is then the value in that column. In a picture (from Excel), what I want is the below (I know I'll need to re-name my columns, but that's fine once I can create the structure in the first place):

Is it possible to re-structure my dataframe this way? The outcome of this is to use some predictive analytics to predict a target variable, so I need to re-strcture before I can use Random Forest, kNN, and so on.

...

ANSWER

Answered 2020-Nov-01 at 19:39

You might want try pivoting your table:

Source https://stackoverflow.com/questions/64630691

QUESTION

Display data from two json files in react native

Asked 2020-May-17 at 23:55

I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

...

ANSWER

Answered 2020-May-17 at 23:55

The new object to get params in React Navigation 5 is:

Source https://stackoverflow.com/questions/61859411

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

Vulnerabilities

No vulnerabilities reported

Install hpmpc

You can download it from GitHub.

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 .

Find more information at: