recsys | algorithms about recommender systems:probabilistic matrix | Recommender System library

 by   Songbo729066989 Python Version: Current License: No License

kandi X-RAY | recsys Summary

kandi X-RAY | recsys Summary

recsys is a Python library typically used in Artificial Intelligence, Recommender System applications. recsys has no bugs, it has no vulnerabilities and it has low support. However recsys build file is not available. You can download it from GitHub.

#recsys This project includes some basic algorithms about recommender systems.
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            kandi-support Support

              recsys has a low active ecosystem.
              It has 15 star(s) with 12 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 930 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of recsys is current.

            kandi-Quality Quality

              recsys has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              recsys 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

              recsys releases are not available. You will need to build from source code and install.
              recsys 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 recsys and discovered the below as its top functions. This is intended to give you an instant insight into recsys implemented functionality, and help decide if they suit your requirements.
            • Train the model .
            • Reads data from a file .
            • Evaluate RMSE .
            Get all kandi verified functions for this library.

            recsys Key Features

            No Key Features are available at this moment for recsys.

            recsys Examples and Code Snippets

            No Code Snippets are available at this moment for recsys.

            Community Discussions

            QUESTION

            TypeError: name() argument 1 must be a unicode character, not str python
            Asked 2021-Apr-27 at 09:37

            I'm trying to use Gender Computer for generate gender data to my dataframe. This is my code:

            ...

            ANSWER

            Answered 2021-Apr-27 at 09:37

            I'm suspecting that the issue is that you are passing a whole DataFrame rather than a single str. So it iterates over the entries of the DataFrame rather than the characters of the str. Try the following:

            Source https://stackoverflow.com/questions/67278695

            QUESTION

            Which version of Sbt and Sbt assembly to use for Spack 2.4.5 and Scala 2.11?
            Asked 2020-Sep-07 at 18:14

            Currently, in AWS EMR Cluster, I am using Spark v2.4.5 which comes with Scala v2.11. So in my project, I want to use Scala v2.11 and corresponding SBT and Sbt-Assembly versions. But I am getting one or the other Version conflicts with all the permutations available on various blogs and Stackoverflow answers.

            Here is my dependency files which throws error:

            build.sbt

            ...

            ANSWER

            Answered 2020-Sep-07 at 18:14

            It seems that you're mixing up the Scala version used by SBT and Scala version used in your project.

            If you need to build project with Scala 2.11, it's just enough to specify in build.sbt

            Source https://stackoverflow.com/questions/63779672

            QUESTION

            OSError: [Errno 8] Exec format error when running subprocess.Popen
            Asked 2018-Jul-22 at 21:48

            Im trying to run some open source code I downloaded from github: https://github.com/augustoqm/MCLRE

            The code is running from my mac shell. When it reaches the subprocess.Popen() function it raise an "OSError: [Errno 8] Exec format error".

            The code:

            Start the new process

            mrbpr_cmd_args = '%s -m %s -d %s -u %s -n %s -o %s -k %d -s %d -h %d -l %f -f %d -i %d -a %s -e "%s" -r "%s" -M %s' \ % (mrbpr_bin_path, meta_file, train_files, test_users_file, test_candidates_file, output_dir, rank_size, \ save_model, algorithm, learn_rate, num_fact, num_iter, relation_weights, regularization_per_entity, \ regularization_per_entity, model_name)

            proc = subprocess.Popen(shlex.split(mrbpr_cmd_args), shell=True)

            When I print "mrbpr_cmd_args" variable the results are:

            /Users/nastia/Desktop/MCLRE-master/src/recommender_execution/mrbpr/mrbpr.bin -m /Users/nastia/Desktop/MCLRE-master/data/experiments/recsys-15/bpr-net_meetup.meta -d /Users/nastia/Desktop/MCLRE-master/data/partitioned_data/san_jose/partition_12/mrbpr/user-event-rsvp_train.tsv,/Users/nastia/Desktop/MCLRE-master/data/partitioned_data/san_jose/partition_12/mrbpr/user-user-same-group_train.tsv,/Users/nastia/Desktop/MCLRE-master/data/partitioned_data/san_jose/partition_12/mrbpr/user-user-same-event_train.tsv -u /Users/nastia/Desktop/MCLRE-master/data/partitioned_data/san_jose/partition_12/mrbpr/users_test.tsv -n /Users/nastia/Desktop/MCLRE-master/data/partitioned_data/san_jose/partition_12/mrbpr/event-candidates_test.tsv -o /Users/nastia/Desktop/MCLRE-master/data/experiments/recsys-15/san_jose/recommendations/partition_12/mrbpr -k 100 -s 0 -h 0 -l 0.100000 -f 200 -i 600 -a 0.25,0.15,0.6 -e "" -r "" -M BPR-NET_200-0.1-600-0.25:0.15:0.6

            Can anyone please tell me what is wrong with this args?

            ...

            ANSWER

            Answered 2018-Jul-22 at 21:27

            From the README on the GitHub repo you linked:

            Requirements

            • Linux: all experiments were executed in Linux-based machines, Ubuntu distributions, more specifically

            And, if you look at that path inside the repo, mrbpr.bin is a Linux executable binary. You can't run that on a Mac.

            If they provide the source to build that executable yourself, or a link to where to find it, you could probably build a Mac version. But, failing that, there's nothing you can do to fix it.

            The best option would probably be to run a Linux container, virtual machine, or user-mode installation (either on your Mac, or on some free cloud host), install Python and all of the other requirements into that, and run the code that way.

            If you're wondering why you got that particular error:

            Source https://stackoverflow.com/questions/51469341

            QUESTION

            Printing Matrix of dataset into Table using Pandas with single column transposed
            Asked 2017-Sep-02 at 09:11

            I'm using Movie Lens Dataset in Python Pandas. I need to print the matrix of u.data a tab separated file in foll. way

            ...

            ANSWER

            Answered 2017-Jun-28 at 17:50

            One method:

            Use pivot_table and if one value per user and movie id then aggfunc doesn't matter, however if there are multiple values, the choose your aggregation.

            Source https://stackoverflow.com/questions/44806068

            QUESTION

            python os.makedirs doesn't assign group write permission
            Asked 2017-Jul-20 at 07:07

            Here is a list of steps to reproduce this problem:

            ...

            ANSWER

            Answered 2017-Jul-20 at 06:51

            In the doc it says in some systems the mode parameter is ignored or not well interpreted:

            On some systems, mode is ignored. Where it is used, the current umask value is first masked out. If bits other than the last 9 (i.e. the last 3 digits of the octal representation of the mode) are set, their meaning is platform-dependent. On some platforms, they are ignored and you should call chmod() explicitly to set them.

            And it suggest you to use chmod() instead

            Source https://docs.python.org/3/library/os.html#os.mkdir

            Source https://stackoverflow.com/questions/45207084

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

            Vulnerabilities

            No vulnerabilities reported

            Install recsys

            You can download it from GitHub.
            You can use recsys 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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            gh repo clone Songbo729066989/recsys

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