dpmm | Dirichlet process mixture model

by hannawallach Python Version: Current License: Non-SPDX

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

kandi X-RAY | dpmm Summary

dpmm is a Python library typically used in Simulation applications. dpmm has no bugs, it has no vulnerabilities, it has build file available and it has low support. However dpmm has a Non-SPDX License. You can download it from GitHub.

Example code for a Dirichlet Process mixture of Dirichlet-multinomial distributions. Implements the generative process, four inference algorithms (Neal’s "algorithm 3" and "algorithm 8", Jain & Neal’s conjugate split-merge and nonconjugate split-merge algorithms), and Geweke’s "getting it right" posterior simulator test.

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dpmm has a low active ecosystem.

It has 25 star(s) with 11 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 2055 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dpmm is current.

Quality

dpmm has 0 bugs and 0 code smells.

Security

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

dpmm code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dpmm has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

Build file is available. You can build the component from source.

dpmm saves you 286 person hours of effort in developing the same functionality from scratch.

It has 690 lines of code, 17 functions and 10 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Plots the plot
Cumulative distribution function
Plots the probability of a function

Get all kandi verified functions for this library.

dpmm Key Features

No Key Features are available at this moment for dpmm.

dpmm Examples and Code Snippets

No Code Snippets are available at this moment for dpmm.

Community Discussions

Trending Discussions on dpmm

In gtk-rs, how do I get the current screen that a gtk::Window is (mostly) on?

QUESTION

In gtk-rs, how do I get the current screen that a gtk::Window is (mostly) on?

Asked 2021-May-22 at 17:11

What I'm trying to accomplish is to calculate the dpi (or, in my case, the dpmm) of the screen that my application is mostly on. So far as I know, the modern way to do that is to call gdk::Monitor::get_height_mm and gdk::Monitor::get_width_mm.

So, starting with window: gtk::Window, I'm trying to get the Monitor like so:

...

ANSWER

Answered 2021-May-22 at 17:11

A gtk::Window is not the same as a gdk::Window. The former is more like the concept of a "window", while the latter maps better to the concept of X windows. In other display protocols, these are also called "surfaces", which is why it got renamed in GTK 4, also to clear up this confusion.

In any case, to get the underlying surface/window of a widget in GTK, you can call the get_window() method on it (in gtk-rs, this is part of the gtk::WidgetExt trait)

Source https://stackoverflow.com/questions/67649865

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

Vulnerabilities

No vulnerabilities reported

Install dpmm

You can download it from GitHub.
You can use dpmm like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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