recommendation | Implementation of SVD and SVD for recommendation | Recommender System library

 by   cheungdaven Python Version: Current License: No License

kandi X-RAY | recommendation Summary

kandi X-RAY | recommendation Summary

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

This repo is aimed at sharing coding about some classic Recommendation System Algorithm. Including:.
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            kandi-support Support

              recommendation has a low active ecosystem.
              It has 14 star(s) with 9 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              recommendation has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of recommendation is current.

            kandi-Quality Quality

              recommendation has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              recommendation 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

              recommendation releases are not available. You will need to build from source code and install.
              recommendation 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 recommendation and discovered the below as its top functions. This is intended to give you an instant insight into recommendation implemented functionality, and help decide if they suit your requirements.
            • Generate SVDPlusPlusFactorizer
            • Calculate train and test data
            • Calculate the RMSE error
            • Plot the RMSE curve
            • Compute the index matrix
            • Load data from a csv file
            • Calculate the prediction of the model
            • Calculate the prediction
            Get all kandi verified functions for this library.

            recommendation Key Features

            No Key Features are available at this moment for recommendation.

            recommendation Examples and Code Snippets

            No Code Snippets are available at this moment for recommendation.

            Community Discussions

            QUESTION

            Accessing Aurora Postgres Materialized Views from Glue data catalog for Glue Jobs
            Asked 2021-Jun-15 at 13:51

            I have an Aurora Serverless instance which has data loaded across 3 tables (mixture of standard and jsonb data types). We currently use traditional views where some of the deeply nested elements are surfaced along with other columns for aggregations and such.

            We have two materialized views that we'd like to send to Redshift. Both the Aurora Postgres and Redshift are in Glue Catalog and while I can see Postgres views as a selectable table, the crawler does not pick up the materialized views.

            Currently exploring two options to get the data to redshift.

            1. Output to parquet and use copy to load
            2. Point the Materialized view to jdbc sink specifying redshift.

            Wanted recommendations on what might be most efficient approach if anyone has done a similar use case.

            Questions:

            1. In option 1, would I be able to handle incremental loads?
            2. Is bookmarking supported for JDBC (Aurora Postgres) to JDBC (Redshift) transactions even if through Glue?
            3. Is there a better way (other than the options I am considering) to move the data from Aurora Postgres Serverless (10.14) to Redshift.

            Thanks in advance for any guidance provided.

            ...

            ANSWER

            Answered 2021-Jun-15 at 13:51

            Went with option 2. The Redshift Copy/Load process writes csv with manifest to S3 in any case so duplicating that is pointless.

            Regarding the Questions:

            1. N/A

            2. Job Bookmarking does work. There is some gotchas though - ensure Connections both to RDS and Redshift are present in Glue Pyspark job, IAM self ref rules are in place and to identify a row that is unique [I chose the primary key of underlying table as an additional column in my materialized view] to use as the bookmark.

            3. Using the primary key of core table may buy efficiencies in pruning materialized views during maintenance cycles. Just retrieve latest bookmark from cli using aws glue get-job-bookmark --job-name yourjobname and then just that in the where clause of the mv as where id >= idinbookmark

              conn = glueContext.extract_jdbc_conf("yourGlueCatalogdBConnection") connection_options_source = { "url": conn['url'] + "/yourdB", "dbtable": "table in dB", "user": conn['user'], "password": conn['password'], "jobBookmarkKeys":["unique identifier from source table"], "jobBookmarkKeysSortOrder":"asc"}

            datasource0 = glueContext.create_dynamic_frame.from_options(connection_type="postgresql", connection_options=connection_options_source, transformation_ctx="datasource0")

            That's all, folks

            Source https://stackoverflow.com/questions/67928401

            QUESTION

            How to fetch data from google book api using python
            Asked 2021-Jun-14 at 17:36

            I am working on book recommendation system, so with ml i have got the recommendation which is stored is list book_list, so using google book api i have tried to fetch the book cover of the listed item in the book_list

            ...

            ANSWER

            Answered 2021-Jun-14 at 17:33

            imageLinks in volumeInfo isn't available for every book

            for example

            https://www.googleapis.com/books/v1/volumes?q=test

            the '0' book "Software-Test für Embedded Systems" doesn't contain imageLinks

            you need to try/catch that case or look beforehand if it exists

            Source https://stackoverflow.com/questions/67974608

            QUESTION

            File upload asp.net core - System.ObjectDisposedException: 'Cannot access a closed file.'
            Asked 2021-Jun-14 at 14:18

            I am using asp.net core and programming in C#.

            I have a method in a controller to upload a file from a form in a view.

            ...

            ANSWER

            Answered 2021-Jun-14 at 13:49

            A possible fix is documented in this thread: https://forums.asp.net/t/1397944.aspx?+Cannot+access+a+closed+file.

            Specifically, changing the value of 'requestLengthDiskThreshold' in your web config.

            Source https://stackoverflow.com/questions/67971199

            QUESTION

            AWS Personalize: Dumping User-item interaction Dataset Created By PutEvent
            Asked 2021-Jun-14 at 12:56

            Following AWS Personalize documents, I successfully imported my datasets (User, Item, Interaction) from S3, created an EventTrcker, trained the model, and deployed the campaign. The solution works without any issue and I get the recommendations.

            I rely on Putevent to add new user-item interaction events. I also dump those interaction events using Lambda+firehose in my s3. But I am wondering if AWS Personalize internally creates/augments the original user-item interaction dataset? How I can access and download the revised version of the dataset? I cannot see any new dataset in "Dataset groups > Datasets" rather than my original 3 datasets...

            I prefer to dump it regularly from AWS Personalize to my S3 storage rather than using my own Lambda+Firehose solution.

            This is the output of my Putevent call. I see 200...but not sure it works fine or not...should I see any new dataset in "Dataset groups > Datasets" created by putevents?

            ...

            ANSWER

            Answered 2021-Jun-14 at 12:56
            Update: Now it's possible

            AWS documentation: https://docs.aws.amazon.com/personalize/latest/dg/export-data.html

            You can use this AWS CLI command for exporting only interactions, that were added but PutEvents/PutUsers/PutItems API calls:

            Source https://stackoverflow.com/questions/65567797

            QUESTION

            Laravel-8 error with Cache::remember() function doesn't work
            Asked 2021-Jun-13 at 21:20

            My application is returning an error when storing the cache, I saw that it was saving, but it is returning this error. Can anyone say why? Here's my function and the error:

            function that returns error:

            ...

            ANSWER

            Answered 2021-Jun-12 at 21:26

            After thinking a little bit, I think I know what your problem is, you are using function ($keywords), but you should be using function () use ($keywords) because, in the source code, you see that it is doing $value = $callback(), but your function is awaiting $keywords, if you want to share a value, you have to use use ($keywords) again, like your second function in the where.

            So, it should be:

            Source https://stackoverflow.com/questions/67952439

            QUESTION

            TimescaleDB: SELECT COUNT(*) slow on hypertable
            Asked 2021-Jun-13 at 05:10

            I have a hyper table for exchange candle data set up using TimescaleDB.

            • TimescaleDB official image timescale/timescaledb:latest-pg12 set up and running with Docker with the exact version string starting PostgreSQL 12.6 on x86_64-pc-linux-musl, compiled by gcc (Alpine 10.2.1_pre1) 10.2.1 20201203, 64-bit

            • Python 3 client

            • The table has 5 continuous aggregate views set up like here and around 15 colums

            Running the following query is slow (count query generated with SQLAlchemy):

            ...

            ANSWER

            Answered 2021-Jun-13 at 05:10

            you can try the approximate_row_count() function (https://docs.timescale.com/api/latest/analytics/approximate_row_count/) which gives an immediate result.

            Source https://stackoverflow.com/questions/67953098

            QUESTION

            How to pass and display list of images in flask
            Asked 2021-Jun-12 at 16:43

            I on working Book recommendation with flask and ml , so i have collected the book's images link in a list, but can't able to figure out how to display those list of images in templates.

            this is code where i have the passed the parameter to the templates

            ...

            ANSWER

            Answered 2021-Jun-12 at 16:43

            Use jinja for loop for it. Assuming list of link is images

            Source https://stackoverflow.com/questions/67950843

            QUESTION

            HOW to setup Windows 10 + VSCode + pymakr for Python programming + Micropython + ESP-IDF for esp32?
            Asked 2021-Jun-11 at 19:32

            I started several attempts to get this complex working. As mentioned in so many other discussions the micropython modules are not recognized, e.g. machine. Python modules like numpy were also not found.

            I think, the python environment is not working correctly and the modules are there but not found. But, there is no recommendation or tutorial that really solves this. How can I set this up?

            What I did so far:

            1. manually installed all components according to tutorials

            2. another way: installed the pything coding pack which contains a lot of stuff.

            3. The Windows paths have the correct folder paths to the components.

            4. I set the obviously correct python interpreter in vscode

            5. connection/communication with board is working. I can set up codes which dont contain micropython modules.

            6. in other IDE's like thonny/mu the modules are found.

            7. I also installed a python venv: I could install numpy inside this venv and later it was found in vscode (wasn't found before) when I used the venv python as interpreter in vscode. But I wasn't succesful with micropython in venv.

            PS: I can use the micropython modules like machine or network and upload the sketch to the esp32 board. It is working on the board. But I cant run any of the sketches in vscode. I think that Vscode uses cpython instead of micropython but shouldn't this be working after the installations I mentioned?

            ...

            ANSWER

            Answered 2021-May-24 at 00:00

            It sounds like you're confusing modules you install on the machine running Visual Studio Code and modules you install in Micropython on the ESP32.

            They're totally separate.

            Python on your Windows machine can use venv.

            MicroPython doesn't use venv at all (there apparently is a clone of venv for MicroPython but it's not readily apparent what it does or why or how you'd use it). It is a completely separate instance of Python from the one on your Windows machine, and it doesn't operate the same way. Modules you install under venv won't be visible or usable by MicroPython. Numpy in particular is not available for MicroPython.

            Many modules need to be written specially to work with MicroPython. MicroPython isn't running in a powerful operating system like Windows, MacOS or Linux. It's running in a highly constrained environment that lacks much of the functionality of those operating systems, and that has extremely little memory and storage compared to them. You can't expect that a module written for regular Python will just work on MicroPython (and likewise, many MicroPython modules use hardware features like I2C or SPI access that may not be available on more powerful, general purpose computers).

            Only modules available with upip will be available for MicroPython. They'll need to be installed in the instance of MicroPython running on the ESP32, not in the instance of Python running under Windows. They're two, totally separate instances of Python.

            Source https://stackoverflow.com/questions/67647095

            QUESTION

            PDF report showing boxes instead of fonts when deployed to azure using Rotitiva in asp.net core
            Asked 2021-Jun-11 at 09:52

            I created a MVC ASP.net core project. For pdf reports I am using Rototiva. When working on the local environment everything works fine but when deploying to the azure the report showing boxes.

            I have gone through the previous post and tried to fix the issue based on the recommendation but nothing helps, so writing this post if some one have gone through the issue and found the solution.

            Note: I am not using free website of Azure.

            This is the code and I modified the style based on Jason solution: Controller Partial code:

            View:

            Update--Issue is resolved

            This issue is resolved. My application hosting plan was D1 (shared)on Azure. I had to scale up the app plan and get the B1. Once on B1 I am not seeing anymore issue. But it costing me $40 extra per month to resolve the issue. I would look for some other option to create the report rather than Rotative

            ...

            ANSWER

            Answered 2021-Jun-11 at 09:52

            My application was hosting on Auzre using plan D1 (shared)on Azure. I had to scale up the app plan and get the B1. Once on B1 I am not seeing anymore issue. But it costing me $40 extra per month to resolve the issue. I would look for some other option to create the report rather than Rotative

            Source https://stackoverflow.com/questions/66058599

            QUESTION

            How to check if two images are almost the same in OpenCV?
            Asked 2021-Jun-11 at 06:18

            This sounds like an easy task, but I already spent hours on it. There're several posts with a similar headline, so let me describe my problem first. I have H264 encoded video files, those files show records of a colonoscopy/gastroscopy.

            During the examination, the exterminator can make some kind of screenshot. You can see this in the video because for round about one second the image is not moving, so a couple of frames show the "same". I'd like to know when those screenshots are made.

            So in the first place I extracted the image of the video:

            ...

            ANSWER

            Answered 2021-Jun-11 at 06:18

            After several tests I found finally something which works for me. The discussion was already in 2013 here on stackoverflow, feature matching. There are several matching algorithms available in opencv. I selected as basis the code of this tutorial. I made a few changes and this is the result (OpenCv 4.5.2):

            Source https://stackoverflow.com/questions/67890246

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

            Vulnerabilities

            No vulnerabilities reported

            Install recommendation

            You can download it from GitHub.
            You can use recommendation 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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