pyro | Deep universal probabilistic programming with Python | Machine Learning library

 by   pyro-ppl Python Version: 1.8.5 License: Apache-2.0

kandi X-RAY | pyro Summary

kandi X-RAY | pyro Summary

pyro is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. pyro has no bugs, it has build file available, it has a Permissive License and it has high support. However pyro has 1 vulnerabilities. You can install using 'pip install pyro' or download it from GitHub, PyPI.

Pyro supports Python 3.6+.
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            kandi-support Support

              pyro has a highly active ecosystem.
              It has 7979 star(s) with 964 fork(s). There are 204 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 214 open issues and 803 have been closed. On average issues are closed in 37 days. There are 24 open pull requests and 0 closed requests.
              OutlinedDot
              It has a negative sentiment in the developer community.
              The latest version of pyro is 1.8.5

            kandi-Quality Quality

              pyro has 0 bugs and 0 code smells.

            kandi-Security Security

              pyro has 1 vulnerability issues reported (0 critical, 1 high, 0 medium, 0 low).
              pyro code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pyro is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pyro 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 are not available. Examples and code snippets are available.
              pyro saves you 51049 person hours of effort in developing the same functionality from scratch.
              It has 84322 lines of code, 6000 functions and 608 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pyro and discovered the below as its top functions. This is intended to give you an instant insight into pyro implemented functionality, and help decide if they suit your requirements.
            • Performs a monotonic recombine .
            • Initialize the model .
            • Performs a batch - test on a data model .
            • Get the dependencies of a model .
            • Compute bin probabilities .
            • Compute the conditional for a new distribution
            • Fit svi wavelet transform .
            • Checks to see if the model tracing of a model trace match .
            • Creates Bayesian model with Bayesian model
            • Main entry point .
            Get all kandi verified functions for this library.

            pyro Key Features

            No Key Features are available at this moment for pyro.

            pyro Examples and Code Snippets

            Pyro models for SARS-CoV-2 analysis,Citing
            Jupyter Notebookdot img1Lines of Code : 20dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            @article {Obermeyer2021.09.07.21263228,
              author = {Obermeyer, Fritz and
                        Schaffner, Stephen F. and
                        Jankowiak, Martin and
                        Barkas, Nikolaos and
                        Pyle, Jesse D. and
                        Park, Daniel J. and
                       
            pyro agents,Directory Structure
            Pythondot img2Lines of Code : 19dot img2License : Permissive (MIT)
            copy iconCopy
            .
            ├── causal_agents               # Directory for Pyro implementation of causal agents, based on this semester's research
            │   ├── causal_agents           
            │   │   ├── agents.py           # script with causal agent class
            │   │   ├── environments.py     
            Run standalone Beremiz service
            Pythondot img3Lines of Code : 9dot img3License : Non-SPDX (NOASSERTION)
            copy iconCopy
            #!sh
            cd ~/Beremiz
            mkdir beremiz_workdir
            
            cd ~/beremiz
            python Beremiz_service.py -p 61194 -i localhost -x 0 -a 1 ~/Beremiz/beremiz_workdir
            
            #!sh
            cd ~/Beremiz/beremiz
            python Beremiz.py
              
            copy iconCopy
            import random
            p = 0.5
            n = 100000
            count = 0
            
            print(sum(random.choices([True, False], [p, 1 - p], k=n)))
            

            Community Discussions

            QUESTION

            Fitting sinusoidal data in Python
            Asked 2022-Mar-20 at 13:12

            I am trying to fit experimental data

            with a function of the form:

            ...

            ANSWER

            Answered 2022-Mar-20 at 12:50

            Your fitted curve will look like this

            Source https://stackoverflow.com/questions/71546564

            QUESTION

            How to write an array tag in a VARIANT structure on an OpenOPC server
            Asked 2021-Dec-07 at 16:42

            I'm trying to communicate with an OPC DA server and need to write in a tag which is in an array format. We can connect with a simulation server, read tags (int, real, array) and write tags (int, real, str). The problem comes when we need to write in an array tag. The developper of the OpenOPC library (Barry Barnreiter) recommand to use a VARIANT variable because OPC "expect to see a Windows VARIANT structure when writing complex objects such as arrays".

            • I did install Pywin32 (build 217) as suggested here.
            • I tried to send a simple integer instead of an array in a VARIANT structure.

            Here's the code:

            ...

            ANSWER

            Answered 2021-Dec-05 at 19:56

            You need to upgrade the python to 3.9 and Pywin32 to Build 302. In addition, you need to install the OpenOPC-Python3x 1.3.1.

            Source https://stackoverflow.com/questions/70118083

            QUESTION

            Troubles connecting thread and sending a signal
            Asked 2021-Nov-25 at 18:32

            My code below works but after a few times of ending the program and starting it again, the line

            ...

            ANSWER

            Answered 2021-Nov-25 at 18:04

            I fixed the issue by using Daemon threading:

            Source https://stackoverflow.com/questions/70068432

            QUESTION

            select rows from dataframe based on composite logic conditions
            Asked 2021-Nov-16 at 16:07

            I have a dataframe x, have three columns, A, B and C

            ...

            ANSWER

            Answered 2021-Nov-16 at 16:07

            There are 2 errors.

            1. you cannot use or with series, you should use the bitwise or: |

            2. you need to aggregate the comparisons on the left hand part using any

            NB. I used A.eq(B) for clarity, but this is equivalent to A == B

            Source https://stackoverflow.com/questions/69992424

            QUESTION

            How to change all the elements but the first one in the array to only present the difference
            Asked 2021-Nov-01 at 23:24

            I have multiple arrays that look more or less like so :

            ...

            ANSWER

            Answered 2021-Nov-01 at 17:25

            I would start with a "template string" (just a name, not realted template literals) that has a specific phrase to be replaced, and an array of the values to replace it with, then map the replacement values with the template string.

            Source https://stackoverflow.com/questions/69799473

            QUESTION

            pyro: how to specify conditional distribution
            Asked 2021-Oct-06 at 21:17

            I am trying to use pyro for specifying a Bayesian network. I have a child node D which is continuous and it has three discrete nodes are parents, each with 10 possible states:

            So, I first define my discrete nodes as:

            ...

            ANSWER

            Answered 2021-Oct-06 at 21:17

            Good thing about pyro is that the model definition is very pythonic. The underlying PyTorch machinery can track dependencies for you.

            All you need is use the samples A, B and C and compute the parameters of the conditional p(D|A,B,C)

            Source https://stackoverflow.com/questions/69472294

            QUESTION

            slice Pytorch tensors which are saved in a list
            Asked 2021-Oct-03 at 20:22

            I have the following code segment to generate random samples. The generated samples is a list, where each entry of the list is a tensor. Each tensor has two elements. I would like to extract the first element from all tensors in the list; and extract the second element from all tensors in the list as well. How to perform this kind of tensor slice operation

            ...

            ANSWER

            Answered 2021-Oct-03 at 05:19

            I'd recommend torch.cat with a list comprehension:

            Source https://stackoverflow.com/questions/69422219

            QUESTION

            cross compile for meson-mali?
            Asked 2021-Sep-29 at 16:14

            I'm trying to compile meson-mali by bitbake https://github.com/opendreambox/opendreambox/tree/pyro/meta-dreambox/recipes-graphics/meson-mali on my ubuntu 21.04 with latest kernel (5.11.0-34-generic) But I have got this error ..

            ...

            ANSWER

            Answered 2021-Sep-29 at 16:14

            I have solved this error

            Source https://stackoverflow.com/questions/69303904

            QUESTION

            RuntimeError: Trying to backward through the graph a second time
            Asked 2021-Sep-25 at 15:28

            I'm trying to train 'trainable Bernoulli distribution' using 'pyro'.

            I want to train Bernoulli distribution's parameter(probability to win) using NLL loss.

            train_data is one-hot encoded sparse matrix(2034,19475) and train_labels has 4 value(4 class, [0,1,2,3]).

            ...

            ANSWER

            Answered 2021-Sep-25 at 15:28

            QUESTION

            KeyError: 'datapath' with Matplotlib
            Asked 2021-Aug-06 at 12:20

            I am getting an error when trying to run code and am unsure how to solve the issue. I am unsure what this datapath is and the error is coming straight from the matplotlib package. Any help is greatly appreciated. Here is the error I am getting:

            ...

            ANSWER

            Answered 2021-Aug-06 at 12:20

            mpl.rcParams["datapath"] was deprecated: https://github.com/matplotlib/matplotlib/pull/16417

            Solution is to use

            Source https://stackoverflow.com/questions/68679503

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

            Vulnerabilities

            No vulnerabilities reported

            Install pyro

            You can install using 'pip install pyro' or download it from GitHub, PyPI.
            You can use pyro 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 .
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/pyro-ppl/pyro.git

          • CLI

            gh repo clone pyro-ppl/pyro

          • sshUrl

            git@github.com:pyro-ppl/pyro.git

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