visdom | flexible tool | Data Visualization library

 by   facebookresearch Python Version: 0.2.4 License: Non-SPDX

kandi X-RAY | visdom Summary

kandi X-RAY | visdom Summary

visdom is a Python library typically used in Analytics, Data Visualization applications. visdom has no bugs, it has no vulnerabilities, it has build file available and it has high support. However visdom has a Non-SPDX License. You can install using 'pip install visdom' or download it from GitHub, PyPI.

Visdom aims to facilitate visualization of (remote) data with an emphasis on supporting scientific experimentation. Broadcast visualizations of plots, images, and text for yourself and your collaborators. Organize your visualization space programmatically or through the UI to create dashboards for live data, inspect results of experiments, or debug experimental code.
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            kandi-support Support

              visdom has a highly active ecosystem.
              It has 7584 star(s) with 951 fork(s). There are 188 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 76 open issues and 412 have been closed. On average issues are closed in 48 days. There are 5 open pull requests and 0 closed requests.
              It has a positive sentiment in the developer community.
              The latest version of visdom is 0.2.4

            kandi-Quality Quality

              visdom has 0 bugs and 0 code smells.

            kandi-Security Security

              visdom has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              visdom code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              visdom 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.

            kandi-Reuse Reuse

              visdom 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, examples and code snippets are available.
              visdom saves you 1817 person hours of effort in developing the same functionality from scratch.
              It has 4015 lines of code, 197 functions and 22 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of visdom
            Get all kandi verified functions for this library.

            visdom Key Features

            No Key Features are available at this moment for visdom.

            visdom Examples and Code Snippets

            2. Train teachers and students
            Pythondot img1Lines of Code : 26dot img1no licencesLicense : No License
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            visdom -p 15550
            
            # Teacher
            python train_teacher.py --dataset cifar10 --batch_size 128 --step_size 80 --epochs 200 --model resnet34_8x
            
            # Student
            python DFAD_cifar.py --dataset cifar10 --ckpt checkpoint/teacher/cifar10-resnet34_8x.pt --scheduler
            
            # Te  
            CCCapsNet,Usage,Train Text Classification
            Pythondot img2Lines of Code : 23dot img2no licencesLicense : No License
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            visdom -logging_level WARNING & python main.py --data_type newsgroups --num_epochs 70
            optional arguments:
            --data_type              dataset type [default value is 'imdb'](choices:['imdb', 'newsgroups', 'reuters', 'webkb', 
                                      
            How to using
            Pythondot img3Lines of Code : 22dot img3License : Permissive (MIT)
            copy iconCopy
            training:
              # the name of python file in training
              method: SCAHN
              # the data set name, you can choose mirflickr25k, nus wide, ms coco, iapr tc-12
              dataName: Mirflickr25K
              batchSize: 64
              # the bit of hash codes
              bit: 64
              # if true, the program   
            copy iconCopy
            pytorch                   1.5.1               py3.6_cpu_0  [cpuonly]  pytorch
            
            ModuleNotFoundError: No module named 'visdom' when importing visdom
            Pythondot img5Lines of Code : 4dot img5License : Strong Copyleft (CC BY-SA 4.0)
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            python -m pip install --upgrade pip
            
            python -m pip install visdom
            
            copy iconCopy
            OSError: [WinError 10013] An attempt was made to access a socket in a way forbidden by its access permissions
            
            conda create -n anaconda won't install full anaconda packages
            Pythondot img7Lines of Code : 2dot img7License : Strong Copyleft (CC BY-SA 4.0)
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            conda config --remove channels conda-forge
            
            copy iconCopy
            pip install --no-binary=h5py h5py 
            
            How to log epochs in Gensim's LdaModel
            Pythondot img9Lines of Code : 4dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            l =  gensim.models.callbacks.CoherenceMetric(corpus=common_corpus, logger='shell')
            
            l =  gensim.models.callbacks.CoherenceMetric(corpus=common_corpus, coherence="u_mass", logger='shell')
            
            How to get a completely clean python environment with miniconda?
            Pythondot img10Lines of Code : 10dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            jalazbe@DESKTOP:~$ conda activate Leaf
            
            (Leaf) jalazbe@DESKTOP:~$
            
            (Leaf) jalazbe@DESKTOP:~$ conda list 
            
            (Leaf) jalazbe@DESKTOP:~$ conda install name-of-library
            # exa

            Community Discussions

            QUESTION

            RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. GPU not detected by pytorch
            Asked 2021-Mar-21 at 16:24

            Having trouble with CUDA + Pytorch this is the error. I reinstalled CUDA and cudnn multiple times.

            Conda env is detecting GPU but its giving errors with pytorch and certain cuda libraries. I tried with Cuda 10.1 and 10.0, and cudnn version 8 and 7.6.5, Added cuda to path and everything.

            However anaconda is showing cuda tool kit 9.0 is installed, whilst I clearly installed 10.0, so I am not entirely sure what's the deal with that.

            ...

            ANSWER

            Answered 2021-Mar-20 at 10:44

            From the list of libraries, it looks like you've installed CPU only version of the Pytorch.

            Source https://stackoverflow.com/questions/66711799

            QUESTION

            How do I specify a pip find-links option in a conda environment file?
            Asked 2020-Feb-26 at 09:17

            I have a pip requirements file that includes specific cpu-only versions of torch and torchvision. I can use the following pip command to successfully install my requirements.

            ...

            ANSWER

            Answered 2020-Feb-26 at 09:17

            Found the answer in the pip documentation here. I can add the find-links option to my requirements file, so my conda environment yaml file becomes

            Source https://stackoverflow.com/questions/60410173

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

            Vulnerabilities

            No vulnerabilities reported

            Install visdom

            You can install using 'pip install visdom' or download it from GitHub, PyPI.
            You can use visdom 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

            Support for Lua Torch was deprecated following v0.1.8.4. If you'd like to use torch support, you'll need to download that release. You can follow the usage instructions there, but it is no longer officially supported.
            Find more information at:

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            Install
          • PyPI

            pip install visdom

          • CLONE
          • HTTPS

            https://github.com/facebookresearch/visdom.git

          • CLI

            gh repo clone facebookresearch/visdom

          • sshUrl

            git@github.com:facebookresearch/visdom.git

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