mleap-docs | Documentation for MLeap

 by   combust Shell Version: Current License: No License

kandi X-RAY | mleap-docs Summary

kandi X-RAY | mleap-docs Summary

mleap-docs is a Shell library typically used in Big Data, Spark applications. mleap-docs has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

MLeap is a common serialization format and execution engine for machine learning pipelines. It supports Spark, Scikit-learn and Tensorflow for training pipelines and exporting them to an MLeap Bundle. Serialized pipelines (bundles) can be deserialized back into Spark for batch-mode scoring or the MLeap runtime to power realtime API services.
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              mleap-docs has a low active ecosystem.
              It has 14 star(s) with 22 fork(s). There are 10 watchers for this library.
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              It had no major release in the last 6 months.
              There are 2 open issues and 5 have been closed. On average issues are closed in 283 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of mleap-docs is current.

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              mleap-docs has no bugs reported.

            kandi-Security Security

              mleap-docs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

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

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              mleap-docs releases are not available. You will need to build from source code and install.

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            mleap-docs Key Features

            No Key Features are available at this moment for mleap-docs.

            mleap-docs Examples and Code Snippets

            No Code Snippets are available at this moment for mleap-docs.

            Community Discussions

            QUESTION

            Is MLeap actually a serialization "format"?
            Asked 2019-Jan-15 at 13:58

            I began to work with MLeap as a serialization tool that allows to save model in Spark or scikit-learn and load it for inference using MLeap Runtime. It works well.

            Now my purpose is to load a model saved using MLeap into my Java code, into my own structures, without MLeap Runtime. I investigated a bit and haven't found any "format definitions" of "schema", only examples that show how some serialized models look like. From that perspective it looks like MLeap is just a serialization/deserialization tool, not a "format" as it's declared on the main page of documentation.

            So, is MLeap a "format" or just a serialization tool? Can I found a format definition or schema somewhere?

            And again, my purpose is to understand if it's possible to write a custom serialization/deserialization tool for MLeap format or the only option is to use MLeap tools for that?

            ...

            ANSWER

            Answered 2019-Jan-15 at 13:58

            I would say, that Mleap is a framework to put models to production without the overhead of the frameworks in which you trained them. This leads to the desired low latency. De-/Serialization is definetly an important part of that and you in fact got some freedom to store your pipelines.

            I recommend having a look at the bundles you create (zip files) using Mleap which contain the exported pipelines. Most of the serialisations are easy to comprehend: a logistic regression is contained in a jsonfile for example that has the identifier of the pipeline element and the coefficients. Basically what defines the logistic regression model.

            Source https://stackoverflow.com/questions/54126259

            QUESTION

            mleap AttributeError: 'Pipeline' object has no attribute 'serializeToBundle'
            Asked 2018-May-15 at 21:34

            I am having problems executing the example code from the mleap repository. I wish to run the code in a script instead of a jupyter notebook (which is how the example is run). My script is as follows:

            ...

            ANSWER

            Answered 2017-Sep-19 at 07:37

            It seems you didn't follow the steps correctly, here http://mleap-docs.combust.ml/getting-started/py-spark.html it says that

            Note: the import of mleap.pyspark needs to happen before any other PySpark libraries are imported.

            Hence try importing your SparkContext after mleap

            Source https://stackoverflow.com/questions/46287811

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

            Vulnerabilities

            No vulnerabilities reported

            Install mleap-docs

            You can download it from GitHub.

            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

            https://github.com/combust/mleap-docs.git

          • CLI

            gh repo clone combust/mleap-docs

          • sshUrl

            git@github.com:combust/mleap-docs.git

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