shadow-bukkit | Extra annotations for use with shadow and Bukkit | Data Labeling library
kandi X-RAY | shadow-bukkit Summary
kandi X-RAY | shadow-bukkit Summary
Extra annotations for use with shadow and Bukkit
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Top functions reviewed by kandi - BETA
- Checks if this package is the same or not
- Checks that two versions are comparable
- Prepend a versioned class
- Adds a versioned prefix to the given class name
- Prepend an OBC prefix to the given class name
- Prepends an OBC prefix for the given class
- Returns whether this package is after the given version
- Returns true if this package is before the given version
- Checks if this package is the same or earlier or not
- Returns the package name
shadow-bukkit Key Features
shadow-bukkit Examples and Code Snippets
Community Discussions
Trending Discussions on Data Labeling
QUESTION
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 13:57Instead of using Enum
you can use a dict
mapping. You can avoid loops if you flatten your dataframe:
QUESTION
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 07:24Try something like:
QUESTION
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 22:39Is the data behind virtual network by any chance?
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install shadow-bukkit
You can use shadow-bukkit 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 shadow-bukkit 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 .
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