data-mining | 中文文本分类与聚类 - | Data Mining library

 by   nlpdz Python Version: Current License: No License

kandi X-RAY | data-mining Summary

kandi X-RAY | data-mining Summary

data-mining is a Python library typically used in Data Processing, Data Mining applications. data-mining has no bugs, it has no vulnerabilities and it has low support. However data-mining build file is not available. You can download it from GitHub.

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              data-mining has a low active ecosystem.
              It has 8 star(s) with 7 fork(s). There are no watchers for this library.
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              It had no major release in the last 6 months.
              data-mining has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of data-mining is current.

            kandi-Quality Quality

              data-mining has no bugs reported.

            kandi-Security Security

              data-mining has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              data-mining 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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              data-mining releases are not available. You will need to build from source code and install.
              data-mining 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 data-mining and discovered the below as its top functions. This is intended to give you an instant insight into data-mining implemented functionality, and help decide if they suit your requirements.
            • Computes the weight matrix
            • Load process file
            • Load font
            Get all kandi verified functions for this library.

            data-mining Key Features

            No Key Features are available at this moment for data-mining.

            data-mining Examples and Code Snippets

            No Code Snippets are available at this moment for data-mining.

            Community Discussions

            QUESTION

            How to prevent underflow when calculating probabilities with the Naïve Bayes Classifier algorithm?
            Asked 2021-Feb-19 at 17:57

            I'm working on a Naïve Bayes Classifier algorithm for my data-mining course, however I'm having an underflow problem when calculating the probabilities. The particular data set has ~305 attributes, so as you can image, the final probability will be very low. How can I avoid this problem?

            ...

            ANSWER

            Answered 2021-Feb-19 at 17:57

            One way to go is to process the logarithms of the probabilities rather than the the probabilities themselves. The idea is you never calculate with probabilities, for fear you'll get 0.0, but instead calculate with log-probabilities.

            Most of the changes are easy: eg instead of multiplying the probabilities, add the logarithms and for many distributions (eg gaussians) its easy to compute the log-probability rather than the probability.

            The only slightly tricky bit is if you need to add up probabilities. But this is a well known problem, and searching for logsumexp gets plenty of hits, eg here. I believe there is a logsumexp function int scipy.

            Source https://stackoverflow.com/questions/66271495

            QUESTION

            Can't click button in webbrowser C#?
            Asked 2020-Feb-03 at 02:48

            So basically I'm doing a project for my Degree (I do EEE, but the subject is on Machine Learning). I want to get a list of all the Reuters news articles using web browser through C#. Once I get the individual HREF links I would use HTML Agility Pack to extract the text of the individual articles and do some data-mining.

            But for a search I make (https://www.reuters.com/search/news?blob=Trump&sortBy=date&dateRange=all), there are thousands of results displayed, and I need to click on a "Load More Results" button on the page. I have tried certain methodologies found online, but it doesn't work! Any help would be appreciated!

            The button's HTML description is the following:

            ...

            ANSWER

            Answered 2020-Feb-03 at 02:48

            QUESTION

            Using Broadcast State To Force Window Closure Using Fake Messages
            Asked 2019-Dec-18 at 14:59

            Description:

            Currently I am working on using Flink with an IOT setup. Essentially, devices are sending data such as (device_id, device_type, event_timestamp, etc) and I don't have any control over when the messages get sent. I then key the steam by device_id and device_type to preform aggregations. I would like to use event-time given that is ensures the timers which are set trigger in a deterministic nature given a failure. However, given that this isn't always a high throughput stream a window could be opened for a 10 minute aggregation period, but not have its next point come until approximately 40 minutes later. Although the calculation would aggregation would eventually be completed it would output my desired result extremely late.

            So my work around for this is to create an additional external source that does nothing other than pump fake messages. By having these fake messages being pumped out in alignment with my 10 minute aggregation period, even if a device hadn't sent any data, the event time windows would have something to force the windows closed. The critical part here is to make it possible that all parallel instances / operators have access to this fake message because I need to close all the windows with this single fake message. I was thinking that Broadcast state might be the most appropriate way to accomplish this goal given: "Broadcast state is replicated across all parallel instances of a function, and might typically be used where you have two streams, a regular data stream alongside a control stream that serves rules, patterns, or other configuration messages." Quote Source

            Questions:

            1. Is broadcast state the best method for ensuring all parallel instances (e.g. windows) receive my fake messages?
            2. Once the operators have access to this fake message via the broadcast state can this fake message then be used to advance the event time watermark?
            ...

            ANSWER

            Answered 2019-Dec-18 at 14:59

            You can make this work with broadcast state, along the lines you propose, but I'm not convinced it's the best solution.

            In an ideal world I'd suggest you arrange for the devices to send occasional keepalive messages, but assuming that's not possible, I think a custom Trigger would work well here. You can extend the EventTimeTrigger so that in addition to the event time timer it creates via

            Source https://stackoverflow.com/questions/59306916

            QUESTION

            How to run python3 on databricks?
            Asked 2019-Oct-28 at 01:55

            I try to run my machine-learning code on databricks(community version) and need to use the Orange3 data-mining library. However, when I tried to create the orange3 library, it gives an error like this:

            ...

            ANSWER

            Answered 2019-Oct-28 at 01:55

            Python 3 is now the default when creating clusters and there's a UI dropdown to switch between 2 or 3 on older runtimes. 2 will no longer be supported on Databricks Runtime 6+.

            The docs give more details on the various Python settings.

            In regards to specific versions, it depends on the Runtime you're using.

            For instance:

            • 5.5 LTS runs Python 3.5
            • 5.5 LTS ML runs Python 3.6
            • 5.5 with Conda runs Python 3.7
            • 6.0 and 6.1 both run 3.7

            Source https://stackoverflow.com/questions/48105291

            QUESTION

            How the URL-Rewrite will work with 3 Params aswell?
            Asked 2019-Jul-03 at 07:51

            i have build a URL-Routing FrontController in PHP. All works fine, but now i find a error, if i have more params then 2 it dont works, for example:

            This URL works: "www.comelio.com/business-intelligence/anleser/"

            but this URL dont works: "www.comelio.com/business-intelligence/data-mining/anleser/"

            My Rewrite Rule:

            ...

            ANSWER

            Answered 2019-Jul-03 at 07:51

            Have a look at the htaccess Tester here (Make sure to add http in the URL field).

            In your Rewrite Condition, you only make the slashed optional. Thus, the rewriter will always split up the request url to match 4 parts. Try changing your rule to

            Source https://stackoverflow.com/questions/56864685

            QUESTION

            How to discretize stored data in numpy array using Orange?
            Asked 2018-Dec-07 at 11:29

            I've got a set of data stored in a "numpy" array:

            ...

            ANSWER

            Answered 2018-Dec-07 at 11:29

            Orange is able to convert a Panda dataframe into Orange's table, so first convert your data into a Panda dataframe:

            Source https://stackoverflow.com/questions/52900064

            QUESTION

            How to Impute using Simple Decision Tree in Python Script in Orange Data Mining?
            Asked 2018-Aug-26 at 11:36

            in Impute widget, there is option "Model-based(simple tree)" for imputation method

            How to do this in Python Script Widget ?

            from this documentation (https://docs.orange.biolab.si/3/data-mining-library/reference/preprocess.html#feature-selection) , i know how to Impute

            ...

            ANSWER

            Answered 2018-Aug-26 at 11:36

            By analogy, even though a tad more complicated:

            Source https://stackoverflow.com/questions/52001220

            QUESTION

            Create cumsum column with Python Script Widget in Orange
            Asked 2018-Apr-16 at 15:29

            I can't create one new column with the cumulative sum of another. Orange documentation is to hard to understand if you are new to Python like me.

            This is the code i have in my Python Script Widget

            ...

            ANSWER

            Answered 2017-Oct-05 at 07:37

            QUESTION

            System can't find path
            Asked 2018-Mar-16 at 08:34

            Trying to practice Java by doing basic functionality like reading input.

            I am trying to parse movies-sample.txt found in:

            ...

            ANSWER

            Answered 2018-Mar-16 at 08:23

            If it's a web app then the resources folder is your root element, otherwise it will be the src folder as mentioned in comments.

            In your case here as you are writing a standalone Java program and as your file is loacted in the resources folder, you can use CLassLoader to read the file as a stream.

            This is how should be your code:

            Source https://stackoverflow.com/questions/49315804

            QUESTION

            java.lang.NumberFormatException: For input string: "Some(12)"
            Asked 2018-Mar-08 at 21:58

            CAn anyone tell me please what is wrong with my code: Below is my spark code in scala:

            ...

            ANSWER

            Answered 2018-Mar-08 at 21:56

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

            Vulnerabilities

            No vulnerabilities reported

            Install data-mining

            You can download it from GitHub.
            You can use data-mining like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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