deeptrain | Full knowledge and control of the train state | Graph Database library

 by   OverLordGoldDragon Python Version: 0.6.0 License: MIT

kandi X-RAY | deeptrain Summary

kandi X-RAY | deeptrain Summary

deeptrain is a Python library typically used in Database, Graph Database, Tensorflow, React applications. deeptrain 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 deeptrain' or download it from GitHub, PyPI.

Full knowledge and control of the train state.
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            kandi-support Support

              deeptrain has a low active ecosystem.
              It has 16 star(s) with 3 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of deeptrain is 0.6.0

            kandi-Quality Quality

              deeptrain has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              deeptrain is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              deeptrain 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed deeptrain and discovered the below as its top functions. This is intended to give you an instant insight into deeptrain implemented functionality, and help decide if they suit your requirements.
            • Calculate gradient l2 - norm
            • Gather data over a given function
            • Get scales from environment variable
            • Set size of matplotlib figure
            • Load a configuration file
            • Apply callbacks to the given stage
            • Loads the optimizer state
            • Write data to HDF5 file
            • Check if a file exists
            • Destroy the train generator
            • Decorator for capturing arguments
            • Gets the scales from the environment variable
            • Create autoencoder
            • Compute metrics
            • Transform labels and preds
            • Interrupt training
            • Write a 2D numpy array to a csv file
            • Process command line arguments
            • Generate name for name processing
            • Computes gradient sum over dataset
            • Convert numpy arrays to numpy sets
            • Save the attributes of the generator
            • Create a function that returns the default name processor
            • Infer the data from the data and set it
            • Validate set_nums
            • Convert numpy array to lz4f compressed
            • Train the model
            Get all kandi verified functions for this library.

            deeptrain Key Features

            No Key Features are available at this moment for deeptrain.

            deeptrain Examples and Code Snippets

            No Code Snippets are available at this moment for deeptrain.

            Community Discussions

            QUESTION

            Sphinx ignores .rst files
            Asked 2020-Jun-17 at 17:51

            make html and sphinx-build 'source' 'build\html' -a -E give the same results; an .rst file in docs/source I modified is being overridden when I add to :exclude-members: here, generating docs with said member present. Same behavior if simply wiping the entire .rst file clean; seems like the changes are being ignored entirely, and Sphinx is using some cached .rst's instead (despite -a -E).

            I don't recall having to do anything other than make html. I also tried preceding with make clean, and commenting out an app.connect which was noted to be potentially unstable. Is there some command to make Sphinx use the current .rst files?

            ...

            ANSWER

            Answered 2020-Jun-17 at 17:51

            You are editing .rst.txt files in build, which are what's generated by Sphinx by reading .rst in source. Big brain.

            Source https://stackoverflow.com/questions/62429158

            QUESTION

            How to reference a dict with sphinx-autodoc?
            Asked 2020-Jun-07 at 02:07
            :data:`~package._module._DICT_NAME`
            
            ...

            ANSWER

            Answered 2020-Jun-07 at 02:07

            Before trying to reference _DICT_NAME verify it's been put in the general index (and thus became cross-referenceable!!). If using an autodoc directive without :undoc-members: option the dictionary won't be include if it doesn't have a comment. Variables can't have docstrings, so you need to use a comment #: before or """ immediately after, in the py for autodoc to pick it up.

            Unless you are explicitly including the dictionary in the .rst with py:data:, using Domains and roles. Or, by including it in the .rst (using autodata or autoattribute, in case your automodule or autoclass doesn't pick it up and you're using directives of the autodoc extension.

            Then your _DICT_NAME is also a private variable, so you need to check the conf.py settings to see if it's included like napoleon_include_private_with_doc = True, if you're using Sphinx Napoleon extension.

            _DICT_NAME is rendered as if referenced, but no hyperlink.

            First check that it shows up documented in the final rendering of you documentation be it HTML or other. If it is included and has a comment it can be then be cross-referenced and the link will be generated.

            How to reference a dict with sphinx-autodoc?

            Notice you aren't referencing with autodoc. Autodoc is extracting the docstring where you write its directive in your .rst. Your :data: cross-referencing is done by domain and roles. Although you can have referencing inside your docstring that is afterwards extracted by autodoc and finally rendered, altogether, by the Sphinx tool.

            EDIT after OP added MCVE:

            First problem I see is this, your dictionary _DEFAULT_TRAINGEN_CFG is in module _default_configs.py...

            So, the cross-reference you wrote should be right :data:~deeptrain.util._default_configs._DEFAULT_TRAINGEN_CFG\....BUT, did you actually include this module in any .rst file? I don't think so, looking at deeptrain.util.rst the _default_configs.py module is not present in any automodule directive, so there's nothing to reference (that's why the hyperlink isn't generated)...

            Three examples of cross-references:

            A module level dictionary, dict_document.py

            Source https://stackoverflow.com/questions/62226358

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

            Vulnerabilities

            No vulnerabilities reported

            Install deeptrain

            pip install deeptrain (without data; see how to run examples), or clone repository.
            To run, DeepTrain requires (1) a compiled model; (2) data directories (train & val). Below is a minimalistic example. Checkpointing, visualizing, callbacks & more can be accomplished via additional arguments; see Basic and Advanced examples. Also see Recommended Usage.

            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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            Install
          • PyPI

            pip install deeptrain

          • CLONE
          • HTTPS

            https://github.com/OverLordGoldDragon/deeptrain.git

          • CLI

            gh repo clone OverLordGoldDragon/deeptrain

          • sshUrl

            git@github.com:OverLordGoldDragon/deeptrain.git

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