apriori | c extension to Christian Borgelt

 by   jashmenn C Version: Current License: MIT

kandi X-RAY | apriori Summary

kandi X-RAY | apriori Summary

apriori is a C library. apriori has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This project can be found at: Christian Borgelt’s original C code can be found at:
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            kandi-support Support

              apriori has a low active ecosystem.
              It has 55 star(s) with 20 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of apriori is current.

            kandi-Quality Quality

              apriori has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              apriori 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

              apriori releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            apriori Key Features

            No Key Features are available at this moment for apriori.

            apriori Examples and Code Snippets

            No Code Snippets are available at this moment for apriori.

            Community Discussions

            QUESTION

            Symfony Doctrine does not hydrate the whole chain
            Asked 2021-Jun-07 at 14:25

            I simplified my 3 entities as much as possible below, it shows a simple relationship of Currency <- 1:1 -> Balance <- 1:N -> BalanceLog

            Entity/Currency.php

            ...

            ANSWER

            Answered 2021-Jun-07 at 14:25

            I did some debugging and it looks that BalanceLog does not create a full Balance Entity instance, but instead a Proxy. The solution was to add eager loading to the BalanceLog class

            Source https://stackoverflow.com/questions/67869823

            QUESTION

            TypeError: apriori() got an unexpected keyword argument 'mini_support'
            Asked 2021-Jun-07 at 11:32
            def perform_rule_calculation(transact_items_matrix, rule_type="fpgrowth", min_support=0.001):
                
                start_time = 0
                total_execution = 0
                
                if(not rule_type=="fpgrowth"):
                    start_time = time.time()
                    rule_items = apriori(transact_items_matrix, 
                                   mini_support=min_support, 
                                   use_colnames=True, low_memory=True)
                    total_execution = time.time() - start_time
                    print("Computed Apriori!")
                    
                n_range = range(1, 10, 1)
               list_time_ap = []
               list_time_fp = []
            for n in n_range:
                time_ap = 0
                time_fp = 0
                min_sup = float(n/100)
                time_ap = perform_rule_calculation(trans_encoder_matrix, rule_type="fpgrowth", min_support=min_sup)
                time_fp = perform_rule_calculation(trans_encoder_matrix, rule_type="aprior", min_support=min_sup)
                list_time_ap.append(time_ap)
                list_time_fp.append(time_fp)
            
            ...

            ANSWER

            Answered 2021-Jun-07 at 11:32

            its just a typo. you have typed mini instead of min while generating rules. I have corrected it below

            Source https://stackoverflow.com/questions/67870755

            QUESTION

            Python apriori returning Generator instead of Dataframe
            Asked 2021-May-28 at 08:24

            I'm writing code that takes a small portion of a dataset (shopping baskets), converts it into a hot encoded dataframe and I want to run mlxtend's apriori algorithm on it to get frequent itemsets.

            However, whenever I run the apriori algorithm, it seems to run instantly and it returns a generator object rather than a dataframe. I followed the instructions from the documentation, and in their example it shows that apriori returns a dataframe. What am I doing wrong?

            Here is my code:

            ...

            ANSWER

            Answered 2021-May-28 at 08:24

            You have a name conflict in your imports:

            Source https://stackoverflow.com/questions/67735207

            QUESTION

            How to speed up a while-loop in R (perhaps using dopar)?
            Asked 2021-May-26 at 10:32

            I'm trying to process a huge text file containing dozens millions lines of text. The text file contains the results of a convnet analysis of several millions of images and looks like this:

            ...

            ANSWER

            Answered 2021-May-26 at 10:32

            Thank you @Bas! I tested your suggestion on a Linux machine: for a file with ~239 million lines it took less than 1 min. By adding >lines.txt I could save the results. Interestingly, my first readLines R script needed "only" 29 min, which was surprisingly fast compared with my first experience (so I might have had some problem with my Windows computer at work which was not related to R).

            Source https://stackoverflow.com/questions/67686759

            QUESTION

            Where is the documentation to write an event handler for input text box?
            Asked 2021-May-13 at 21:45

            Originally I wanted to know:

            How do I write a handler for this?

            ...

            ANSWER

            Answered 2021-Mar-13 at 05:20

            You can get the types of all the DOM attributes from https://github.com/rescript-lang/rescript-react/blob/v0.10.1/src/ReactDOM.res

            This file contains bindings to ReScript-React's subset of DOM attributes. It has:

            Source https://stackoverflow.com/questions/66608677

            QUESTION

            pandas create median over rows on specific columns
            Asked 2021-Mar-24 at 21:10

            So, say I have a sample DataFrame as:

            ...

            ANSWER

            Answered 2021-Mar-24 at 21:10

            Your reasoning was spot on. Here it is in code.

            Source https://stackoverflow.com/questions/66789271

            QUESTION

            Count frequency of itemsets in the given data frame
            Asked 2021-Mar-03 at 05:00

            I have following data frame,

            ...

            ANSWER

            Answered 2021-Feb-20 at 23:59
            itemsets = {(39, 205),(39, 205, 401), (143, 157), (143, 166), (175, 178), (175, 190)}
            
            x = [[39,120,124,205,401,581,704,814,825,834],
            [35,39,205,712,733,759,854,950],
            [39,422,449,704,825,857,895,937,954,964]]
            
            data = pd.DataFrame(x)
            
            for itemset in itemsets:
                print(itemset)
                count = 0
                for i in range(len(data)):
                    flag = True
                    for item in itemset:
                        if item not in data.loc[i].value_counts():
                            flag = False
                    if flag:
                        count += 1
                print(count)
            

            Source https://stackoverflow.com/questions/66295267

            QUESTION

            How can i make arules.apriori work in python using rpy2
            Asked 2021-Feb-25 at 16:41

            I'm trying to run an apriori algorithm in python using rpy2. i've hit a wall because I want to give the algorithm some parameters but than the code doesn't work. if I leave the parameter blank it runs. Is there a way to make the apriori algorithm work with paramters?

            I've got some R experience and in R my code would look something like this.

            ...

            ANSWER

            Answered 2021-Feb-25 at 16:41

            I've found the answer to the question above on a different forum.

            you need to add the following code

            Source https://stackoverflow.com/questions/66371778

            QUESTION

            Converting a single column Dataframe to XTS is losing column name
            Asked 2021-Feb-13 at 02:24

            I have a situation where I need to convert a data frame object into XTS object. The first column of my data frame is always a date object and is always named "Date". However, i would not know apriori, whether my dataframe object has 1 column (excluding the date) or more columns.

            The issue is this: When i try to convert the dataframe object into xts using xts(), the resulting XTS object has the correct column names when the dataframe object has more than 1 columns. BUT if it has only one data column (excluding the date), it loses its column name. See the code below.

            ...

            ANSWER

            Answered 2021-Feb-13 at 02:24

            When you have only one column in the data the default nature is to drop it's dimensions and convert it into vector.

            Source https://stackoverflow.com/questions/66181087

            QUESTION

            Argmax - differentiate between array having same values and array having largest zeroth component
            Asked 2021-Jan-28 at 21:11

            I am implementing the argmax function form numpy library to get the index of the largest element in a vector. Following is my code.

            ...

            ANSWER

            Answered 2021-Jan-28 at 21:11
            import numpy as np
            
            a = np.array([2, 0, 0, 0, 0])
            idx = np.argmax(a) if ~np.all(a == a[0]) else None
            print(idx)  # 0
            
            b = np.array([0, 0, 0, 0, 0])
            idx = np.argmax(b) if ~np.all(b == b[0]) else None
            print(idx)  # None
            
            # Alternative solution
            
            a = np.array([2, 0, 0, 0, 0])
            idx = np.argmax(a) - np.all(a == a[0]).astype(int)
            print(idx)  # 0
            
            b = np.array([0, 0, 0, 0, 0])
            idx = np.argmax(b) - np.all(b == b[0]).astype(int)
            print(idx)  # -1 
            

            Source https://stackoverflow.com/questions/65944826

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

            Vulnerabilities

            No vulnerabilities reported

            Install apriori

            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 jashmenn/apriori

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