modelDown | modelDown generates a website with HTML summaries | Predictive Analytics library

by ModelOriented R Version: Current License: No License

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kandi X-RAY | modelDown Summary

modelDown is a R library typically used in Analytics, Predictive Analytics applications. modelDown has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

modelDown generates a website with HTML summaries for predictive models. Is uses DALEX explainers to compute and plot summaries of how given models behave. We can see how well models behave (Model Performance, Auditor), how much each variable contributes to predictions (Variable Response) and which variables are the most important for a given model (Variable Importance). We can also compare Concept Drift for pairs of models (Drifter). Additionally, data available on the website can be easily recreated in current R session (using the archivist package). An example website for regression models:

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Support

modelDown has a low active ecosystem.

It has 104 star(s) with 12 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 46 have been closed. On average issues are closed in 54 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of modelDown is current.

Quality

modelDown has no bugs reported.

Security

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

License

modelDown does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

modelDown releases are not available. You will need to build from source code and install.

Installation instructions are available. Examples and code snippets are not available.

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modelDown Key Features

No Key Features are available at this moment for modelDown.

modelDown Examples and Code Snippets

No Code Snippets are available at this moment for modelDown.

Community Discussions

Trending Discussions on modelDown

Combine two networks with if-else

QUESTION

Combine two networks with if-else

Asked 2021-Mar-03 at 02:59

I have two networks ModelUp and ModelDown which take the same inputs x1, x2 where x1 is 10 features and x2 is a single number for each sample. I want a combinedModel network that does:

...

ANSWER

Answered 2021-Mar-03 at 02:59

The following code would be an option. You need to check if it works for your use case.

Source https://stackoverflow.com/questions/66432114

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

Vulnerabilities

No vulnerabilities reported

Install modelDown

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Support

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