TranSearch | 18 paper -- - Multi-modal Preference | Machine Learning library

 by   guoyang9 Python Version: Current License: Non-SPDX

kandi X-RAY | TranSearch Summary

kandi X-RAY | TranSearch Summary

TranSearch is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. TranSearch has no bugs, it has no vulnerabilities and it has low support. However TranSearch build file is not available and it has a Non-SPDX License. You can download it from GitHub.

A pytorch and tensorflow GPU implementation for our paper:. Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Xin-Shun Xu, Mohan Kankanhalli (2018). Multi-modal Preference Modeling for Product Search. In Proceedings of ACM MM 2018. You can download the Amazon Dataset from
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              TranSearch has a low active ecosystem.
              It has 8 star(s) with 2 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              TranSearch has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of TranSearch is current.

            kandi-Quality Quality

              TranSearch has 0 bugs and 0 code smells.

            kandi-Security Security

              TranSearch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              TranSearch code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              TranSearch has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              TranSearch releases are not available. You will need to build from source code and install.
              TranSearch has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 1577 lines of code, 71 functions and 14 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed TranSearch and discovered the below as its top functions. This is intended to give you an instant insight into TranSearch implemented functionality, and help decide if they suit your requirements.
            • Compute metrics for the model
            • R Compute reciprocal of item in pred_item
            • Return the reciprocal reciprocal of the given item
            • Check if the item is in pred_items
            • Forward prediction
            • Convenience layer
            • Extract reviews from a meta file
            • Returns a list of words that are less than count
            • Removes characters from a string
            • Train the model
            • Create the model
            • Converts text to spatial space
            • Builds the model
            • Split the data into split_data
            • Generate a sample of the given asin
            • Remove test from test dataframe
            • Get a dictionary of features from asin
            • Split the gender in the dataframe
            • Calculate the sum of triplet loss
            • Generate a sample of the features
            • Remove image from the dataframe
            • Get a dictionary of features
            • Returns a dict of user bought items
            • Get data from a sample
            • Get a pandas dataframe from a file
            • Reindex reviewer ID
            • Runs the optimizer step
            Get all kandi verified functions for this library.

            TranSearch Key Features

            No Key Features are available at this moment for TranSearch.

            TranSearch Examples and Code Snippets

            No Code Snippets are available at this moment for TranSearch.

            Community Discussions

            QUESTION

            How do you search with TransactionSearch?
            Asked 2019-Apr-22 at 13:53

            How do you find a Vendor Payment (Transaction) with an Vendor Payment internal id? I'm having a difficult time trying to figure out how Transaction search work.

            Below is my code: it return success but no result

            ...

            ANSWER

            Answered 2019-Apr-22 at 12:43

            Think of TransactionSearchAdvanced() like a saved search in the UI. You need to specify the criteria to use AND the columns that you want to return. Before you run your search, add the following code to specify the columns to return. You'll probably want to add a criteria for mainLine is true as well or you'll get one result per transaction line rather than one result per transaction.

            Source https://stackoverflow.com/questions/55768082

            QUESTION

            How to create SuiteScript 2.0 saved search with multiple types?
            Asked 2018-Nov-05 at 17:22

            Being relatively new to SuiteScript, are you able to search for multiple types when using search.create()? I know that in the UI this type of search can be created, but did not see any examples in the documentation of such searches, and wanted to double-check of the correct syntax for doing so as well.

            ...

            ANSWER

            Answered 2018-Nov-05 at 17:22

            You would do a search on transactions and specify the types in a filter:

            Source https://stackoverflow.com/questions/53157012

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

            Vulnerabilities

            No vulnerabilities reported

            Install TranSearch

            You can download it from GitHub.
            You can use TranSearch 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 guoyang9/TranSearch

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            git@github.com:guoyang9/TranSearch.git

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