4thdownbot-model | The model behind @ NYT4thDownBot
kandi X-RAY | 4thdownbot-model Summary
kandi X-RAY | 4thdownbot-model Summary
4thdownbot-model is a Python library. 4thdownbot-model 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 is the code that powers the [New York Times 4th Down Bot] Using NFL play-by-play data from [Armchair Analysis] this code will:. The Armchair Analysis data is not free. It costs $49 (one-time) to gain access to play-by-play data from the 2000-2014 NFL seasons. There is also a professional package that will provide weekly updates. Without the Armchair Analysis data, you will not be able to use much of this code. This code currently requires Python 2.7 and is not Python 3 compliant to our knowledge. Questions about the Python code can be directed to [Trey Causey] mailto:trey@thespread.us). Please note that none of the file operations are supported on Windows.
This is the code that powers the [New York Times 4th Down Bot] Using NFL play-by-play data from [Armchair Analysis] this code will:. The Armchair Analysis data is not free. It costs $49 (one-time) to gain access to play-by-play data from the 2000-2014 NFL seasons. There is also a professional package that will provide weekly updates. Without the Armchair Analysis data, you will not be able to use much of this code. This code currently requires Python 2.7 and is not Python 3 compliant to our knowledge. Questions about the Python code can be directed to [Trey Causey] mailto:trey@thespread.us). Please note that none of the file operations are supported on Windows.
Support
Quality
Security
License
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Support
4thdownbot-model has a low active ecosystem.
It has 112 star(s) with 16 fork(s). There are 26 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 4 have been closed. On average issues are closed in 63 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of 4thdownbot-model is current.
Quality
4thdownbot-model has 0 bugs and 0 code smells.
Security
4thdownbot-model has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
4thdownbot-model code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
4thdownbot-model is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
4thdownbot-model 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.
4thdownbot-model saves you 286 person hours of effort in developing the same functionality from scratch.
It has 692 lines of code, 43 functions and 7 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed 4thdownbot-model and discovered the below as its top functions. This is intended to give you an instant insight into 4thdownbot-model implemented functionality, and help decide if they suit your requirements.
- Run the bot
- Generate response
- Make model foreground probability
- Assign kneel_down to dataframe
- Calculate features for a scenario
- Creates a plot of the sensitivity calibration plot
- Switches off off of offense
- Calculate the mean of the punt averages
- Load data
- Joins two pandas dataframe
- Creates a random game
- Get kneel down dataframe
- Calculate the average first down rate for each segment
- Load all games from a CSV file
- Calculate survival rate for a given fg
- Return the code of the four games
- Load a pbp file
- Return a pandas DataFrame grouped by coaches
- Calculate the probability for the given drive
- Plot the receiver consumption coefficient
Get all kandi verified functions for this library.
4thdownbot-model Key Features
No Key Features are available at this moment for 4thdownbot-model.
4thdownbot-model Examples and Code Snippets
No Code Snippets are available at this moment for 4thdownbot-model.
Community Discussions
No Community Discussions are available at this moment for 4thdownbot-model.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install 4thdownbot-model
You can download it from GitHub.
You can use 4thdownbot-model 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 4thdownbot-model 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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