convoys | statistical models to analyze time lagged conversions | Analytics library

by better Python Version: Current License: MIT

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kandi X-RAY | convoys Summary

convoys is a Python library typically used in Analytics applications. convoys 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.

Convoys is a simple library that fits a few statistical model useful for modeling time-lagged conversions. There is a lot more info if you head over to the [documentation] You can also take a look at [this blog post] about Convoys.

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Quality

Security

License

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Support

convoys has a low active ecosystem.

It has 239 star(s) with 38 fork(s). There are 16 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 5 have been closed. On average issues are closed in 68 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of convoys is current.

Quality

convoys has 0 bugs and 0 code smells.

Security

convoys has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

convoys code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

convoys 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

convoys 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, examples and code snippets are available.

convoys saves you 407 person hours of effort in developing the same functionality from scratch.

It has 966 lines of code, 63 functions and 13 files.

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

Top functions reviewed by kandi - BETA

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

Runs the example
Construct a numpy array from data
Plot the cohort - correlation matrix
Return a time scale for a time series
Return a sorted list of groups
Compute the difference between two timestamps
Cumulative distribution function
Predict the value of the model
Predict the posterior i e
Predict the posterior distribution of the posterior
Predict for the model
Cumulative Distribution Function
Predict the value at time t
Predict the confidence interval of a time series
Fit the model
Gaussian gamma loss function
Compute the CDF of the model
Returns a numpy array of x
Compute the probability density function for a given group

Get all kandi verified functions for this library.

convoys Key Features

No Key Features are available at this moment for convoys.

convoys Examples and Code Snippets

No Code Snippets are available at this moment for convoys.

Community Discussions

Trending Discussions on convoys

How to filter pandas dataframe based on hue and col categories in seaborn catplot?

QUESTION

How to filter pandas dataframe based on hue and col categories in seaborn catplot?

Asked 2020-Sep-15 at 18:37

I am not able to take (let say) top 10 categories of my feature in hue as well as col parameter using catplot graph in seaborn.

...

ANSWER

Answered 2020-Sep-15 at 18:37

As per seaborn.catplot

col_feature and hue_feature are strings, and a string can't be used for . notation when accessing a dataframe column.
- data.col_feature is equivalent to data.'nationality' and won't work
- Use data[col_feature] which is equivalent to data['nationality']
The col parameter expects a column name, col='nationality', not an array of values from inside the column.
- data[col_feature].value_counts()[:10].index can't be used
The hue parameter also expects a column name, 'hue='group', not an array.
- data[hue_feature].value_counts()[:10].index can't be used

Any type of feature selection should happen to the dataframe before it is sent to catplot.

Source https://stackoverflow.com/questions/63874346

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

Vulnerabilities

No vulnerabilities reported

Install convoys

The easiest way right now is to install the latest version from PyPI:.

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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