easymodel | Qt Model and Views | 3D Animation library

 by   storax Python Version: 0.5.0 License: BSD-3-Clause

kandi X-RAY | easymodel Summary

kandi X-RAY | easymodel Summary

easymodel is a Python library typically used in Manufacturing, Utilities, Machinery, Process, User Interface, 3D Animation, Qt5 applications. easymodel 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 easymodel' or download it from GitHub, PyPI.

Qt Model and Views made easy with general purpose model and widgetdelegate
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            kandi-support Support

              easymodel has a low active ecosystem.
              It has 6 star(s) with 2 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              easymodel has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of easymodel is 0.5.0

            kandi-Quality Quality

              easymodel has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              easymodel 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.

            kandi-Reuse Reuse

              easymodel 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed easymodel and discovered the below as its top functions. This is intended to give you an instant insight into easymodel implemented functionality, and help decide if they suit your requirements.
            • Create an editor
            • Create editor widget
            • Close all editors
            • Commit the editor
            • Set the model index
            • Returns the index for the given row
            • Return the child item at the given row
            • Add a level to the UI
            • Return the number of rows in the tree
            • Return the number of child items
            • Set the root node index
            • Set the model
            • Returns the index at the given mouse position
            • Returns the total indentation of the given index
            • Returns the parent index of the given index
            • Return the row of this item
            • Set root index
            • Triggered when a mouse press event occurs
            • Build the view tree
            • Return the selected index
            • Set the current index
            • Triggers a mouseDoubleClick event
            • Triggers a mouse release event
            • Emits new root
            • Called when a model has changed
            • Read data from multiple files
            Get all kandi verified functions for this library.

            easymodel Key Features

            No Key Features are available at this moment for easymodel.

            easymodel Examples and Code Snippets

            No Code Snippets are available at this moment for easymodel.

            Community Discussions

            QUESTION

            How to map over DataFrame in spark to extract RowData and make predictions using h2o mojo model
            Asked 2018-Jan-26 at 15:32

            I have a saved h2o model in mojo format, and now I am trying to load it and use it to make predictions on a new dataset (df) as part of a spark app written in scala. Ideally, I wish to append a new row to the existing DataFrame containing the class probability based on this model.

            I can see how to apply a mojo to an individual row already in a RowData format (as per answer here), but I am not sure how to map over an existing DataFrame so that it is in the right format to make predictions using the mojo model. I have worked with DataFrames a fair bit, but never with the underlying RDDs.

            Also, should this model be serialised / broadcast so that predictions can be done in parallel on a cluster, or will it be available to all executors as part of the map?

            I have gotten this far:

            ...

            ANSWER

            Answered 2017-Dec-17 at 14:27

            Use this function to prepare RowData object needed for H2O:

            Source https://stackoverflow.com/questions/47828510

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

            Vulnerabilities

            No vulnerabilities reported

            Install easymodel

            You can install using 'pip install easymodel' or download it from GitHub, PyPI.
            You can use easymodel 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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            Install
          • PyPI

            pip install easymodel

          • CLONE
          • HTTPS

            https://github.com/storax/easymodel.git

          • CLI

            gh repo clone storax/easymodel

          • sshUrl

            git@github.com:storax/easymodel.git

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