rule_matcher | Rule Matcher Stored Procedures | Rule Engine library

 by   maxdemarzi Java Version: Current License: MIT

kandi X-RAY | rule_matcher Summary

kandi X-RAY | rule_matcher Summary

rule_matcher is a Java library typically used in Server, Rule Engine applications. rule_matcher has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Rule Matcher Stored Procedures
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              rule_matcher has a low active ecosystem.
              It has 9 star(s) with 3 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              rule_matcher has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of rule_matcher is current.

            kandi-Quality Quality

              rule_matcher has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              rule_matcher 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

              rule_matcher releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed rule_matcher and discovered the below as its top functions. This is intended to give you an instant insight into rule_matcher implemented functionality, and help decide if they suit your requirements.
            • Evaluate the attributes of a formula
            • This method performs the best product of the Petrix and returns the solution
            • This method replaces the implicants
            • Performs quine mcus operation on a list of impls
            • Match a user
            • Finds the set of rules based on the attributes
            • Find rules
            • Generate a schema
            • Return string representation of bit vectors
            • Creates a rule
            • Prints the list of terms
            • Compute the set of rows
            • Returns the path expression
            • Computes the intersection of a bit vector
            • Builds a verifier expression
            • Returns the minimal terms
            Get all kandi verified functions for this library.

            rule_matcher Key Features

            No Key Features are available at this moment for rule_matcher.

            rule_matcher Examples and Code Snippets

            No Code Snippets are available at this moment for rule_matcher.

            Community Discussions

            QUESTION

            How to flatten a pandas column of nested dicts, into separate columns for each key
            Asked 2019-Sep-21 at 01:50

            I have a csv with 500+ rows where one column "_source" is stored as JSON. I want to extract that into a pandas dataframe. I need each key to be its own column.

            I have a 1mb JSON file of online social media data that I need to convert the dictionary and key values into their own separate columns. The social media data is from Facebook,Twitter/web crawled... etc.

            There are approximately 528 separate rows of posts/tweets/text with each having many dictionaries inside dictionaries.

            I am attaching a few steps from my Jupyter notebook below to give a more complete understanding. I need to turn all key value pairs for dictionaries inside dictionaries into columns inside a dataframe.

            I have tried changing it to a dataframe by doing this

            ...

            ANSWER

            Answered 2019-Sep-19 at 07:28
            pd.io.json.json_normalize(source.columnName.apply(json.loads))
            

            Source https://stackoverflow.com/questions/57998590

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

            Vulnerabilities

            No vulnerabilities reported

            Install rule_matcher

            You can download it from GitHub.
            You can use rule_matcher 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 rule_matcher 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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            CLONE
          • HTTPS

            https://github.com/maxdemarzi/rule_matcher.git

          • CLI

            gh repo clone maxdemarzi/rule_matcher

          • sshUrl

            git@github.com:maxdemarzi/rule_matcher.git

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