stormy-pythian | Stream Mining Made Easy | Data Mining library

 by   pmerienne Java Version: Current License: No License

kandi X-RAY | stormy-pythian Summary

kandi X-RAY | stormy-pythian Summary

stormy-pythian is a Java library typically used in Data Processing, Data Mining applications. stormy-pythian has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Stormy-Pythian goal is to make stream-mining easy. It aims at providing a simple web interface allowing user to build real time predictive features at large scale. Stormy-Pyhtian will help extracting value from data streams through different steps : * Get raw data (define/mix stream source) * Analyze data (analytics, vizualization) * Get good looking data (cleanup, featurization) * Evaluate Algorithms (accuracy, latency, throughput) * Deploy your data-flow. This project intend to be a solution for many applications : * User clustering * Recommendation * Ad placement * Anomaly detection.
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            kandi-support Support

              stormy-pythian has a low active ecosystem.
              It has 5 star(s) with 0 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 23 open issues and 22 have been closed. On average issues are closed in 21 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of stormy-pythian is current.

            kandi-Quality Quality

              stormy-pythian has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              stormy-pythian 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

              stormy-pythian 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.
              stormy-pythian saves you 6669 person hours of effort in developing the same functionality from scratch.
              It has 13846 lines of code, 1052 functions and 205 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed stormy-pythian and discovered the below as its top functions. This is intended to give you an instant insight into stormy-pythian implemented functionality, and help decide if they suit your requirements.
            • Reads a histogram from a byte buffer
            • Removes the specified element from this set
            • Adds a group to the tree
            • Adds the given data point to the statistics
            • Returns true if this instance is equal to the specified instance
            • Returns true if this instance is equal to the current state
            • Generate the next batch
            • Sets the features
            • Checks if this configuration object equals another
            • Compares this object with another object
            • Compares this instance to another instance
            • Compares this state description with the given description
            • Compares two ConnectionConfiguration objects
            • Compares two Topology state
            • Compares this to another
            • Convert this feature to another feature type
            • Execute the tuple
            • Create a hash code for this instance
            • Initializes the output stream
            • Checks if this configuration is equal to this configuration
            • Get next batch
            • Computes the cumulative value of the CDF function
            • Compares this component s description
            • Compute the quantile of samples
            • Entry point
            • Compares two OutputStreamDescriptors
            Get all kandi verified functions for this library.

            stormy-pythian Key Features

            No Key Features are available at this moment for stormy-pythian.

            stormy-pythian Examples and Code Snippets

            No Code Snippets are available at this moment for stormy-pythian.

            Community Discussions

            QUESTION

            different tree for the same data set
            Asked 2022-Feb-21 at 19:57

            I am working on Pima Indians Diabetes Database in Weka. I noticed that for decision tree J48 the tree is smaller as compared to the Random Tree. I am unable to understand why it is like this? Thank you.

            ...

            ANSWER

            Answered 2022-Feb-21 at 19:57

            Though they both are decision trees, they employ different algorithms for constructing the tree, which will (most likely) give you a different outcome:

            • J48 prunes the tree by default after it built its tree (Wikipedia).
            • RandomTree (when using default parameters) inspects a maximum of log2(num_attributes) attributes for generating splits.

            Source https://stackoverflow.com/questions/71201615

            QUESTION

            Remove duplicates from a tuple
            Asked 2022-Feb-09 at 23:43

            I tried to extract keywords from a text. By using "en_core_sci_lg" model, I got a tuple type of phrases/words with some duplicates which I tried to remove from it. I tried deduplicate function for list and tuple, I only got fail. Can anyone help? I really appreciate it.

            ...

            ANSWER

            Answered 2022-Feb-09 at 22:08

            doc.ents is not a list of strings. It is a list of Span objects. When you print one, it prints its contents, but they are indeed individual objects, which is why set doesn't see they are duplicates. The clue to that is there are no quote marks in your print statement. If those were strings, you'd see quotation marks.

            You should try using doc.words instead of doc.ents. If that doesn't work for you, for some reason, you can do:

            Source https://stackoverflow.com/questions/71057313

            QUESTION

            Can't get value of tag using BeautifulSoup
            Asked 2022-Jan-22 at 22:36

            my code:

            ...

            ANSWER

            Answered 2022-Jan-11 at 13:11

            Note: In new code use find_all() instead of old findAll() syntax - your html looks not valid

            Source https://stackoverflow.com/questions/70666777

            QUESTION

            The website has 9 pages and my code just add the last page elements to the list
            Asked 2022-Jan-12 at 01:42

            The website has 9 pages and my code just add the last page elements to the list. I want to add all elements for all pages next together in list.

            ...

            ANSWER

            Answered 2022-Jan-10 at 08:27
            What happens?

            Code works well, but iterates to fast and elements your looking for are not present in the moment you try to find them.

            How to fix?

            Use selenium waits to check if elements are present in the DOM:

            Source https://stackoverflow.com/questions/70647571

            QUESTION

            Compare two dataframes column values. Find which values are in one df and not the other
            Asked 2021-Nov-07 at 19:24

            I have the following dataset

            ...

            ANSWER

            Answered 2021-Nov-07 at 19:11

            You could just use normal sets to get unique customer ids for each year and then subtract them appropriately:

            Source https://stackoverflow.com/questions/69875643

            QUESTION

            Pandas : Linear Regression apply standard scaler to some columns
            Asked 2021-Nov-06 at 11:48

            So I have the following dataset :

            ...

            ANSWER

            Answered 2021-Nov-06 at 11:46

            You can split your data frame like this:

            Source https://stackoverflow.com/questions/69863485

            QUESTION

            How can I use SVM classifier to detect outliers in percentage changes?
            Asked 2021-Nov-04 at 09:28

            I have a pandas dataframe that is in the following format:

            This contains the % change in stock prices each day for 3 companies MSFT, F and BAC.

            I would like to use a OneClassSVM calculator to detect whether the data is an outlier or not. I have tried the following code, which I believe detects the rows which contain outliers.

            ...

            ANSWER

            Answered 2021-Nov-04 at 09:28

            It's not very clear what is delta and df in your code. I am assuming they are the same data frame.

            You can use the result from svm.predict , here we leave it as blank '' if not outlier:

            Source https://stackoverflow.com/questions/69836604

            QUESTION

            How can I change the order of the attributes in Weka?
            Asked 2021-Oct-08 at 00:07

            I was doing a machine learning task in Weka and the dataset has 486 attributes. So, I wanted to do attribute selection using chi-square and it provides me ranked attributes like below:

            Now, I also have a testing dataset and I have to make it compatible. But how can I reorder the test attributes in the same manner that can be compatible with the train set?

            ...

            ANSWER

            Answered 2021-Oct-08 at 00:07

            Changing the order of attributes (e.g., when using the Ranker in conjunction with an attribute evaluator) will probably not have much influence on the performance of your classifier model (since all the attributes will stay in the dataset). Removing attributes, on the other hand, will more likely have an impact (for that, use subset evaluators).

            If you want the ordering to get applied to the test set as well, then simply define your attribute selection search and evaluation schemes in the AttributeSelectedClassifier meta-classifier, instead of using the Attribute selection panel (that panel is more for exploration).

            Source https://stackoverflow.com/questions/69488957

            QUESTION

            how to split a piece text by a word in R?( break the text after a specific word)
            Asked 2021-Oct-06 at 16:10

            I need to split pdf files into their chapters. In each pdf, at the beginning of every chapter, I added the word "Hirfar" for which to look and split the text. Consider the following example:

            ...

            ANSWER

            Answered 2021-Oct-06 at 16:10

            We may use regex lookaround

            Source https://stackoverflow.com/questions/69469109

            QUESTION

            How to locate an element within bad html python selenium
            Asked 2021-Aug-26 at 07:41

            I want to scrape the Athletic Director's information from this page. but the issue is that there is a strong tag that refers to the name and email of every person on the page. I only want an XPath that specifically extracts the exact name and email of the Athletic Director. Here is the link to the website for a better understanding of the code. "https://fhsaa.com/sports/2020/1/28/member_directory.aspx"

            ...

            ANSWER

            Answered 2021-Aug-26 at 07:41

            to get the email id, use this :-

            Source https://stackoverflow.com/questions/68928190

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

            Vulnerabilities

            No vulnerabilities reported

            Install stormy-pythian

            You can download it from GitHub.
            You can use stormy-pythian 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 stormy-pythian 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

            https://github.com/pmerienne/stormy-pythian.git

          • CLI

            gh repo clone pmerienne/stormy-pythian

          • sshUrl

            git@github.com:pmerienne/stormy-pythian.git

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