NetworkProject

 by   MohammadMDSA Java Version: Current License: No License

kandi X-RAY | NetworkProject Summary

kandi X-RAY | NetworkProject Summary

NetworkProject is a Java library. NetworkProject has no bugs, it has no vulnerabilities and it has low support. However NetworkProject build file is not available. You can download it from GitHub.

NetworkProject
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            kandi-support Support

              NetworkProject has a low active ecosystem.
              It has 4 star(s) with 0 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              NetworkProject has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of NetworkProject is current.

            kandi-Quality Quality

              NetworkProject has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              NetworkProject does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              NetworkProject releases are not available. You will need to build from source code and install.
              NetworkProject 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 NetworkProject and discovered the below as its top functions. This is intended to give you an instant insight into NetworkProject implemented functionality, and help decide if they suit your requirements.
            • Starts client service
            • Parses the command and validates the command
            • Takes a string and converts it to a hash map
            • Parses single flag and returns the pair
            • Reads the next command
            • Gets the command
            • Parse a string to receive type
            • Gets the required flags
            • Validates the given command type
            • Gets the name
            • The IP address of the IP
            • Gets the path
            • Runs the daemon
            • Main method
            Get all kandi verified functions for this library.

            NetworkProject Key Features

            No Key Features are available at this moment for NetworkProject.

            NetworkProject Examples and Code Snippets

            No Code Snippets are available at this moment for NetworkProject.

            Community Discussions

            QUESTION

            ClearML multiple tasks in single script changes logged value names
            Asked 2021-Feb-22 at 14:29

            I trained multiple models with different configuration for a custom hyperparameter search. I use pytorch_lightning and its logging (TensorboardLogger). When running my training script after Task.init() ClearML auto-creates a Task and connects the logger output to the server.

            I log for each straining stage train, val and test the following scalars at each epoch: loss, acc and iou

            When I have multiple configuration, e.g. networkA and networkB the first training log its values to loss, acc and iou, but the second to networkB:loss, networkB:acc and networkB:iou. This makes values umcomparable.

            My training loop with Task initalization looks like this:

            ...

            ANSWER

            Answered 2021-Feb-19 at 22:31

            Disclaimer I'm part of the ClearML (formerly Trains) team.

            pytorch_lightning is creating a new Tensorboard for each experiment. When ClearML logs the TB scalars, and it captures the same scalar being re-sent again, it adds a prefix so if you are reporting the same metric it will not overwrite the previous one. A good example would be reporting loss scalar in the training phase vs validation phase (producing "loss" and "validation:loss"). It might be the task.close() call does not clear the previous logs, so it "thinks" this is the same experiment, hence adding the prefix networkB to the loss. As long as you are closing the Task after training is completed you should have all experiments log with the same metric/variant (title/series). I suggest opening a GitHub issue, this should probably be considered a bug.

            Source https://stackoverflow.com/questions/66279581

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

            Vulnerabilities

            No vulnerabilities reported

            Install NetworkProject

            You can download it from GitHub.
            You can use NetworkProject 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 NetworkProject 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/MohammadMDSA/NetworkProject.git

          • CLI

            gh repo clone MohammadMDSA/NetworkProject

          • sshUrl

            git@github.com:MohammadMDSA/NetworkProject.git

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