ecokeen | EcoKeen for SYNCS Hackathon | Data Labeling library

 by   mospy26 Java Version: Current License: MIT

kandi X-RAY | ecokeen Summary

kandi X-RAY | ecokeen Summary

ecokeen is a Java library typically used in Artificial Intelligence, Data Labeling, Deep Learning, Tensorflow applications. ecokeen has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ecokeen build file is not available. You can download it from GitHub.

EcoKeen for SYNCS Hackathon 2020.
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            kandi-support Support

              ecokeen has a low active ecosystem.
              It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 3 open issues and 9 have been closed. On average issues are closed in 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ecokeen is current.

            kandi-Quality Quality

              ecokeen has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              ecokeen 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

              ecokeen releases are not available. You will need to build from source code and install.
              ecokeen has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ecokeen and discovered the below as its top functions. This is intended to give you an instant insight into ecokeen implemented functionality, and help decide if they suit your requirements.
            • Adds a user relationship
            • Set the type of the response
            • Set distance
            • Set the footprint
            • Handles POST requests
            • Authenticate a user
            • Generate a new token
            • Initialize no relationships
            • Set the carbon value
            • Gets the best footprint for a given id
            • Get the average footprint for a given id
            • Add a Travel History
            • Add a new history
            • Retrieves the items of a given user
            • Entry point
            • Returns average footprint for a given user
            • Gets the footprint for a given user
            • Returns total footprint for a given id
            • Retrieves last days for a given user
            • Deletes all repositories
            • Called when the application is ready
            • Retrieve the history for a user
            • Returns the worst footprint for a given user ID
            • Returns average footprint for a given user id
            • Gets the worst footprint for a given id
            • Registers a new user
            Get all kandi verified functions for this library.

            ecokeen Key Features

            No Key Features are available at this moment for ecokeen.

            ecokeen Examples and Code Snippets

            No Code Snippets are available at this moment for ecokeen.

            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 ecokeen

            You can download it from GitHub.
            You can use ecokeen 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 ecokeen 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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            https://github.com/mospy26/ecokeen.git

          • CLI

            gh repo clone mospy26/ecokeen

          • sshUrl

            git@github.com:mospy26/ecokeen.git

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