kuali-rice-training | Contains exercises , presentations , and manuals | Data Labeling library

 by   ewestfal Java Version: july-2013 License: Non-SPDX

kandi X-RAY | kuali-rice-training Summary

kandi X-RAY | kuali-rice-training Summary

kuali-rice-training is a Java library typically used in Artificial Intelligence, Data Labeling applications. kuali-rice-training has no bugs, it has no vulnerabilities and it has low support. However kuali-rice-training build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Contains exercises, presentations, and manuals for the Kuali Rice training that I have conducted over the years. Enjoy :).
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              kuali-rice-training has a low active ecosystem.
              It has 6 star(s) with 3 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of kuali-rice-training is july-2013

            kandi-Quality Quality

              kuali-rice-training has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              kuali-rice-training 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

              kuali-rice-training releases are available to install and integrate.
              kuali-rice-training has no build file. You will be need to create the build yourself to build the component from source.
              kuali-rice-training saves you 218717 person hours of effort in developing the same functionality from scratch.
              It has 217185 lines of code, 7528 functions and 2630 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed kuali-rice-training and discovered the below as its top functions. This is intended to give you an instant insight into kuali-rice-training implemented functionality, and help decide if they suit your requirements.
            • Builds the control map .
            • Validates references and active references
            • Create a KimAttributeDefinition object .
            • Builds the line group .
            • Test to see where the authors of the book .
            • Perform the getRoleMembership on the Department .
            • Prepares a view for rendering .
            • Retrieves the term parameters of the model .
            • Test a split
            • Assembles a new proposition .
            Get all kandi verified functions for this library.

            kuali-rice-training Key Features

            No Key Features are available at this moment for kuali-rice-training.

            kuali-rice-training Examples and Code Snippets

            No Code Snippets are available at this moment for kuali-rice-training.

            Community Discussions

            QUESTION

            How can I do this split process in Python?
            Asked 2021-Dec-30 at 14:06

            I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

            What I've done so far is make this representation with the same enumerator class.

            A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

            ...

            ANSWER

            Answered 2021-Dec-30 at 13:57

            Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

            Source https://stackoverflow.com/questions/70532286

            QUESTION

            Replacing a character with a space and dividing the string into two words in R
            Asked 2020-Nov-18 at 07:32

            I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

            In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

            i have this:

            ...

            ANSWER

            Answered 2020-Nov-16 at 07:24

            QUESTION

            Azure ML FileDataset registers, but cannot be accessed for Data Labeling project
            Asked 2020-Oct-28 at 20:31

            Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

            Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

            Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

            ...

            ANSWER

            Answered 2020-Oct-27 at 22:39

            Is the data behind virtual network by any chance?

            Source https://stackoverflow.com/questions/64546521

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

            Vulnerabilities

            No vulnerabilities reported

            Install kuali-rice-training

            You can download it from GitHub.
            You can use kuali-rice-training like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the kuali-rice-training component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            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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