wtte-rnn | WTTE-RNN a framework for churn and time to event prediction | Machine Learning library

by ragulpr Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | wtte-rnn Summary

wtte-rnn is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras, Neural Network applications. wtte-rnn has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However wtte-rnn build file is not available. You can install using 'pip install wtte-rnn' or download it from GitHub, PyPI.

WTTE-RNN a framework for churn and time to event prediction

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Quality

Security

License

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Support

wtte-rnn has a low active ecosystem.

It has 734 star(s) with 182 fork(s). There are 43 watchers for this library.

It had no major release in the last 6 months.

There are 33 open issues and 28 have been closed. On average issues are closed in 63 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of wtte-rnn is current.

Quality

wtte-rnn has 0 bugs and 0 code smells.

Security

wtte-rnn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

wtte-rnn code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

wtte-rnn 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

wtte-rnn releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

wtte-rnn 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.

wtte-rnn saves you 638 person hours of effort in developing the same functionality from scratch.

It has 1482 lines of code, 111 functions and 22 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed wtte-rnn and discovered the below as its top functions. This is intended to give you an instant insight into wtte-rnn implemented functionality, and help decide if they suit your requirements.

Creates a heatmap plot
Plot the biases
Basic heatmap plot
Compute tte tensor
Calculate the tte time of a continuous interval
Generate a timeline aggregate of the nanmean values
Plot a timeline
Calculate the discrete log - likelihood
Calculate the CDF function
Compute the cumulative hazard hazard
Mean distance function
Calculate the loss function
Computes the loglik of the tensor
Unstack a keras
Helper function to split keras
Calculate the log - likelihood
PDF for t
The activation function
Compute an output lambda function
Compute the DCF function
Convert a pandas DataFrame to subarrays
Convert a pandas DataFrame to a numpy array
Append metrics
Append metrics to the end of the batch
Initialize metrics
Append metrics to training

Get all kandi verified functions for this library.

wtte-rnn Key Features

No Key Features are available at this moment for wtte-rnn.

wtte-rnn Examples and Code Snippets

No Code Snippets are available at this moment for wtte-rnn.

Community Discussions

Trending Discussions on wtte-rnn

Reshaping tensors to train with a Weibull distribution in R Keras

in-group time-to event counter

QUESTION

Reshaping tensors to train with a Weibull distribution in R Keras

Asked 2019-Oct-16 at 18:42

I'm attempting to adapt the Weibull distribution first used here: https://github.com/daynebatten/keras-wtte-rnn

A similar problem with translating this into R was tackled here, but it's not getting me to my solution: https://github.com/rstudio/keras/issues/354

My situation follows the following form. Namely, it's survival data, with either a failure time or the survival time to date, but with just one row per case, which doesn't fit either of the above cases (the original, for example, is the well-known jet engine failure data, and each engine has multiple rows containing data on multiple rounds of measurements over time.)

...

ANSWER

Answered 2019-Oct-16 at 18:42

I don't understand the details of this problem, but I see a basic problem here in weibull_loglik_continuous:

Source https://stackoverflow.com/questions/58355215

QUESTION

in-group time-to event counter

Asked 2017-Jul-11 at 15:08

I'm trying to work through the methodology for churn prediction I found here:

Let's say today is 1/6/2017. I have a pandas dataframe, df, that I want to add two columns to.

...

ANSWER

Answered 2017-Jun-21 at 01:12

To get the days until the next event, we can add a column that backfills the date of the next event:

Source https://stackoverflow.com/questions/44662267

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

Vulnerabilities

No vulnerabilities reported

Install wtte-rnn

You can install using 'pip install wtte-rnn' or download it from GitHub, PyPI.
You can use wtte-rnn 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.