click_model_for_mobile_search | project focuses on building click models
kandi X-RAY | click_model_for_mobile_search Summary
kandi X-RAY | click_model_for_mobile_search Summary
click_model_for_mobile_search is a Python library. click_model_for_mobile_search has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
This project focuses on building click models for mobile search. It is based on the project by Aleksandr Chuklin (Published under the BSD license.
This project focuses on building click models for mobile search. It is based on the project by Aleksandr Chuklin (Published under the BSD license.
Support
Quality
Security
License
Reuse
Support
click_model_for_mobile_search has a low active ecosystem.
It has 9 star(s) with 1 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
click_model_for_mobile_search has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of click_model_for_mobile_search is current.
Quality
click_model_for_mobile_search has no bugs reported.
Security
click_model_for_mobile_search has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
click_model_for_mobile_search is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
click_model_for_mobile_search releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed click_model_for_mobile_search and discovered the below as its top functions. This is intended to give you an instant insight into click_model_for_mobile_search implemented functionality, and help decide if they suit your requirements.
- Updates the covariance matrix
- Compute the psi value of the epsilon
- Calculate average k and t
- Calculate the covariance matrix
- Compute the p - value of the epsilon distribution
- Calculate k and t
- Performs the finalize of the transition matrix
- Calculate k and l_from_v
- Calculate k and l
- Calculate and update the parameters
- Calculate s and m
- The finalize method for the finalize method
- Calculate average s and m
- Update the posterior distribution
- Returns the probability density function for a given time
- Calculate the probability density function
- R Return the probability of a given time value
- R Calculate the probability density function
- Updates the model with the given values
- Updates the posterior distribution with the given values
- Update the prior distribution
- Evaluate the PSD at a given position
- Compute the P - value of the PSF
- Read a markdown file
Get all kandi verified functions for this library.
click_model_for_mobile_search Key Features
No Key Features are available at this moment for click_model_for_mobile_search.
click_model_for_mobile_search Examples and Code Snippets
No Code Snippets are available at this moment for click_model_for_mobile_search.
Community Discussions
No Community Discussions are available at this moment for click_model_for_mobile_search.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install click_model_for_mobile_search
You can download it from GitHub.
You can use click_model_for_mobile_search 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 click_model_for_mobile_search 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
Please contact Yukun Zheng by the following email if you have any question:.
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page