Factory | A game about mining and processing resources | Data Mining library

 by   Dakror Java Version: Current License: Apache-2.0

kandi X-RAY | Factory Summary

kandi X-RAY | Factory Summary

Factory is a Java library typically used in Data Processing, Data Mining applications. Factory has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Factory build file is not available. You can download it from GitLab, GitHub.

A game about mining and processing resources.

            kandi-support Support

              Factory has a low active ecosystem.
              It has 3 star(s) with 1 fork(s). There are 2 watchers for this library.
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Factory is current.

            kandi-Quality Quality

              Factory has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              Factory is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Factory releases are not available. You will need to build from source code and install.
              Factory 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 Factory and discovered the below as its top functions. This is intended to give you an instant insight into Factory implemented functionality, and help decide if they suit your requirements.
            • Get the current data
            • Get the data as a JSONArray
            • Get the data for this item
            • Set tick
            • Return an array of all items matching the given categories
            • Key pressed
            • Loads a game file
            • Draw the menu
            • Draw this sprite
            • Called when a mouse is released
            • Initialize all items
            • Draws the graphic
            • Handle the mouse released event
            • Draw this component
            • Set a new item
            • Returns a buffered image
            • Initialize the renderable layer
            • Draws the icon
            • Determines whether the mouse is pressed or not
            • Update buttons
            • Handles the neighbors of the given node
            • Draws the menu
            • Initialize the layers
            • Setter for filters
            • Called when the mouse pressed
            • The main entry point
            Get all kandi verified functions for this library.

            Factory Key Features

            No Key Features are available at this moment for Factory.

            Factory Examples and Code Snippets

            No Code Snippets are available at this moment for Factory.

            Community Discussions


            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.



            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


            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.



            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


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

            my code:



            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


            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.



            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


            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



            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


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

            So I have the following dataset :



            Answered 2021-Nov-06 at 11:46

            You can split your data frame like this:

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


            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.



            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


            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?



            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


            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:



            Answered 2021-Oct-06 at 16:10

            We may use regex lookaround

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


            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"



            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


            No vulnerabilities reported

            Install Factory

            You can download it from GitLab, GitHub.
            You can use Factory 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 Factory 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 .


            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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