pylift | Uplift modeling package | Machine Learning library
kandi X-RAY | pylift Summary
kandi X-RAY | pylift Summary
pylift is a Python library typically used in Artificial Intelligence, Machine Learning applications. pylift 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.
pylift is an uplift library that provides, primarily, (1) fast uplift modeling implementations and (2) evaluation tools. While other packages and more exact methods exist to model uplift, pylift is designed to be quick, flexible, and effective. pylift heavily leverages the optimizations of other packages -- namely, xgboost, sklearn, pandas, matplotlib, numpy, and scipy. The primary method currently implemented is the Transformed Outcome proxy method (Athey 2015).
pylift is an uplift library that provides, primarily, (1) fast uplift modeling implementations and (2) evaluation tools. While other packages and more exact methods exist to model uplift, pylift is designed to be quick, flexible, and effective. pylift heavily leverages the optimizations of other packages -- namely, xgboost, sklearn, pandas, matplotlib, numpy, and scipy. The primary method currently implemented is the Transformed Outcome proxy method (Athey 2015).
Support
Quality
Security
License
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Support
pylift has a low active ecosystem.
It has 259 star(s) with 53 fork(s). There are 19 watchers for this library.
It had no major release in the last 6 months.
There are 11 open issues and 13 have been closed. On average issues are closed in 22 days. There are 3 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of pylift is current.
Quality
pylift has 0 bugs and 0 code smells.
Security
pylift has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pylift code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pylift is licensed under the BSD-2-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
pylift 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.
pylift saves you 360 person hours of effort in developing the same functionality from scratch.
It has 859 lines of code, 61 functions and 15 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pylift and discovered the below as its top functions. This is intended to give you an instant insight into pylift implemented functionality, and help decide if they suit your requirements.
- Calculate Riemann score
- Ensure that a numpy array is a ndarray
- Calculate the count and Nt - Tt counts
- Compute the counts for each outcome
- Generate the NIV plot
- Calculate the woe woe woe woe
- Calculate the NIVoe coefficient
- Bootstrap NIV data
- Plot a histogram
- Plot default matplotlib figure
- Calculate the subset of the plot
- Plot the WOE data
- Plot the NWOE bin
- Transform function
- Save the state of the model
- Shuffle fit
- Fit the sklearn model
- Calculates the maximift curve
- Calculate the maximum CUPLift curve
- Calculates the number of all_thing_hand_handles
- Calculates the number of sleeps for the number of sleeps
- Plot the experiment
- Perform random search
- Perform grid search
- Compute a custom objective function
- Returns the score for the given method
Get all kandi verified functions for this library.
pylift Key Features
No Key Features are available at this moment for pylift.
pylift Examples and Code Snippets
No Code Snippets are available at this moment for pylift.
Community Discussions
Trending Discussions on pylift
QUESTION
Install pylift in jupyter notebook
Asked 2021-Sep-12 at 13:13
git clone https://github.com/wayfair/pylift cd pylift pip install
I tried installing Pylift package into jupyter notebook like that but its just not working. It gives me the following error
...ANSWER
Answered 2021-Sep-12 at 13:13You need to run this on terminal and not inside the notebook. Once you run it and all goes well, you have to restart the notebook's kernel to load the new module.
Ex: So the module has to do with your computer python libraries while the notebook need to load it for you to use. For that you need to import it (usually in the beginning of your script) as you would do with any other library, so you can use it's functionality.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pylift
You can download it from GitHub.
You can use pylift 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 pylift 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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