pyDOE | Design of experiments for Python | Machine Learning library
kandi X-RAY | pyDOE Summary
kandi X-RAY | pyDOE Summary
pyDOE is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. pyDOE 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 pyDOE' or download it from GitHub, PyPI.
pyDOE: The experimental design package for python. The pyDOE package is designed to help the scientist, engineer, statistician, etc., to construct appropriate experimental designs.
pyDOE: The experimental design package for python. The pyDOE package is designed to help the scientist, engineer, statistician, etc., to construct appropriate experimental designs.
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pyDOE has a low active ecosystem.
It has 227 star(s) with 113 fork(s). There are 25 watchers for this library.
It had no major release in the last 12 months.
There are 18 open issues and 6 have been closed. On average issues are closed in 11 days. There are 8 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of pyDOE is 0.3.8
Quality
pyDOE has 0 bugs and 0 code smells.
Security
pyDOE has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pyDOE code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pyDOE is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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pyDOE releases are not available. You will need to build from source code and install.
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.
pyDOE saves you 1612 person hours of effort in developing the same functionality from scratch.
It has 3581 lines of code, 21 functions and 32 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pyDOE and discovered the below as its top functions. This is intended to give you an instant insight into pyDOE implemented functionality, and help decide if they suit your requirements.
- Generate a design matrix
- Compute the full fact
- Return the center of the center of n times
- Compute the union of two sets
- Convert from f to n
- Star each face of the factorial
- Compute the least - squares Hessian for a set of samples
- Generate a random LHS correlation matrix
- Optimized LHS algorithm
- Generate a LHS centered on a set of samples
- Generate the lattice matrix
- Compute the pdist of x
- R Compute the variance matrix
- Builds the regression matrix
- Yield start positions from needle
- Compute the factorial design matrix
- Grep occurrences of needle in haystack
- Generate a Bernstein design matrix
Get all kandi verified functions for this library.
pyDOE Key Features
No Key Features are available at this moment for pyDOE.
pyDOE Examples and Code Snippets
No Code Snippets are available at this moment for pyDOE.
Community Discussions
Trending Discussions on pyDOE
QUESTION
Why I am getting ModuleNotFoundError when I make an Exe file for tkinter GUI?
Asked 2022-Apr-01 at 23:30
I have a simple code to use the LHS design of the experiment, and it works fine.
...ANSWER
Answered 2022-Apr-01 at 23:30I found the answer for my post.
It seems it makes difference where to put mycode.py file and using the pyinstaller.
The file needs to be where your python is installed, in the scripts folder. Then, we can use pyinstaller mycode.py.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyDOE
See the `package homepage`_ for helpful hints relating to downloading and installing pyDOE.
Support
Any feedback, questions, bug reports, or success stores should be sent to the `author`_. I’d love to hear from you!.
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