recsys | algorithms about recommender systems:probabilistic matrix | Recommender System library
kandi X-RAY | recsys Summary
kandi X-RAY | recsys Summary
#recsys This project includes some basic algorithms about recommender systems.
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Top functions reviewed by kandi - BETA
- Train the model .
- Reads data from a file .
- Evaluate RMSE .
recsys Key Features
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Community Discussions
Trending Discussions on recsys
QUESTION
I'm trying to use Gender Computer for generate gender data to my dataframe. This is my code:
...ANSWER
Answered 2021-Apr-27 at 09:37I'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:
QUESTION
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 18:14It 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
QUESTION
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 processmrbpr_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 21:27From 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:
QUESTION
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 17:50One 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.
QUESTION
Here is a list of steps to reproduce this problem:
...ANSWER
Answered 2017-Jul-20 at 06:51In 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
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Install recsys
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.
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