FP-growth | A C implementation of the FP-growth algorithm | Learning library

 by   integeruser C++ Version: Current License: MIT

kandi X-RAY | FP-growth Summary

kandi X-RAY | FP-growth Summary

FP-growth is a C++ library typically used in Tutorial, Learning, Example Codes applications. FP-growth has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A C++ implementation of the FP-growth algorithm
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              FP-growth has a low active ecosystem.
              It has 30 star(s) with 22 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 5 have been closed. On average issues are closed in 22 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of FP-growth is current.

            kandi-Quality Quality

              FP-growth has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              FP-growth 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

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

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            FP-growth Key Features

            No Key Features are available at this moment for FP-growth.

            FP-growth Examples and Code Snippets

            No Code Snippets are available at this moment for FP-growth.

            Community Discussions

            QUESTION

            org.apache.spark.SparkException: Could not initialize class com.google.cloud.spark.bigquery.SparkBigQueryConnectorUserAgentProvider
            Asked 2020-Jun-11 at 15:41

            Below is the code i was using to import a bigquery table to my PySpark cluster(dataproc) and then run fp-growth algorithm on it. But, today when i ran the same code it was throwing an error. It returns the schema of the imported df with .printSchema() but when i try to run .show() or .fit(), it throws the below error.

            ...

            ANSWER

            Answered 2020-Jun-11 at 14:01

            I have also experienced this issue this morning. I was using the gs://spark-lib/bigquery/spark-bigquery-latest.jar when creating the DataProc cluster.

            --properties spark:spark.jars=gs://spark-lib/bigquery/spark-bigquery-latest.jar

            This connector was update from 2.11 to 2.12 yesterday.

            I had to down-graded down to the spark-bigquery-latest_2.11.jar connector to fix my scripts.

            --properties spark:spark.jars=gs://spark-lib/bigquery/spark-bigquery-latest_2.11.jar

            The issue with the new 2.12 driver has been created on Github project: https://github.com/GoogleCloudDataproc/spark-bigquery-connector/issues/187

            Source https://stackoverflow.com/questions/62323534

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

            Vulnerabilities

            No vulnerabilities reported

            Install FP-growth

            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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            gh repo clone integeruser/FP-growth

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            git@github.com:integeruser/FP-growth.git

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