Tencent2018_Lookalike_Rank10th | 2018年腾讯广告算法大赛Rank10代码:深度部分
kandi X-RAY | Tencent2018_Lookalike_Rank10th Summary
kandi X-RAY | Tencent2018_Lookalike_Rank10th Summary
Tencent2018_Lookalike_Rank10th is a Python library. Tencent2018_Lookalike_Rank10th has no bugs, it has no vulnerabilities and it has low support. However Tencent2018_Lookalike_Rank10th build file is not available. You can download it from GitHub.
2018年腾讯广告算法大赛Rank10代码:深度部分
2018年腾讯广告算法大赛Rank10代码:深度部分
Support
Quality
Security
License
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Support
Tencent2018_Lookalike_Rank10th has a low active ecosystem.
It has 62 star(s) with 30 fork(s). There are 2 watchers for this library.
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 166 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Tencent2018_Lookalike_Rank10th is current.
Quality
Tencent2018_Lookalike_Rank10th has no bugs reported.
Security
Tencent2018_Lookalike_Rank10th has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Tencent2018_Lookalike_Rank10th does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
Tencent2018_Lookalike_Rank10th releases are not available. You will need to build from source code and install.
Tencent2018_Lookalike_Rank10th 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 Tencent2018_Lookalike_Rank10th and discovered the below as its top functions. This is intended to give you an instant insight into Tencent2018_Lookalike_Rank10th implemented functionality, and help decide if they suit your requirements.
- Train model
- Gets the next iteration
- Infer the model
- Resets the index
- Format symbols
- Format a list of words
- Process a vea file
- Get the number of lines in a file
- Build the graph
- Batch normalization layer
- Compute the features for single features
- Gather training data
- Generate id_id_aid
- Function to digitize dataset
- Create hyperparameters
- Generate pos and neg_aid
- Load hparams from file
- Load hparams from hparams
- Write train and test labels
- Print hparams
- Save hparams to file
- Generate mutil ids
Get all kandi verified functions for this library.
Tencent2018_Lookalike_Rank10th Key Features
No Key Features are available at this moment for Tencent2018_Lookalike_Rank10th.
Tencent2018_Lookalike_Rank10th Examples and Code Snippets
No Code Snippets are available at this moment for Tencent2018_Lookalike_Rank10th.
Community Discussions
No Community Discussions are available at this moment for Tencent2018_Lookalike_Rank10th.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Tencent2018_Lookalike_Rank10th
You can download it from GitHub.
You can use Tencent2018_Lookalike_Rank10th 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.
You can use Tencent2018_Lookalike_Rank10th 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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