DASP | Keras implementation for DASP : Deep Approximate Shapley | Machine Learning library

by marcoancona Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | DASP Summary

DASP is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning applications. DASP has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)

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Quality

Security

License

Reuse

Support

DASP has a low active ecosystem.

It has 56 star(s) with 12 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 2 have been closed. On average issues are closed in 42 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DASP is current.

Quality

DASP has 0 bugs and 0 code smells.

Security

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

DASP code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DASP 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

DASP 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.

DASP saves you 614 person hours of effort in developing the same functionality from scratch.

It has 1429 lines of code, 91 functions and 17 files.

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

Top functions reviewed by kandi - BETA

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

Force the force plot of a model
Visualize an explanation
Returns a matplotlib matplotlib
Verify that a color map is valid
Plot the attribution maps
Check if p_object is iterable
Plot an image
Return the filename for a plot
Robustness test
Run the model
Corrupt loop
Plots the similarity between two matrices
Compares the value of each attribute in the given metric
Get the masks for a given permutation
Return the input shape
Compute the power law of the input array
Convert a numpy array into a binary array
Performs a Shapley sampling
Run the DASP algorithm
Calls the convolution function
Calls the Convolutional function
Plot the rank correlation
Render to HTML
Render the visualization
Render the data
Calculate the number of players from the input shape

Get all kandi verified functions for this library.

DASP Key Features

No Key Features are available at this moment for DASP.

DASP Examples and Code Snippets

No Code Snippets are available at this moment for DASP.

Community Discussions

Trending Discussions on DASP

Grouping by two columns and then calculating the median

Why isn't my function to plot growth over time working?

Prometheus: grouping metrics by metric names

PHP : chdir('../') not working from command line

PHP Delete newline before insert MySQL

QUESTION

Grouping by two columns and then calculating the median

Asked 2020-Oct-16 at 05:25

I have a dataset where I want to calculate the median first flower date for each origin (native and exotic) per plot.

My end goal is to test if there is a significant difference in the median date of first flower among native and exotic species in warmed and ambient plots.

Here is a subset of my data:

...

ANSWER

Answered 2020-Oct-16 at 05:25

There are a number of significance tests you might employ here, so I'll use one (kruskal.test()) to demonstrate the solution. But note that there is disagreement as to the best way to test significant differences between medians for 3+ groups, so you may want to swap out this test for another one.

Steps:

Create a grp variable that matches the various combinations of interest across categorical columns.
pivot_wider() with the groups as columns of first.flower values.

Source https://stackoverflow.com/questions/64382256

QUESTION

Why isn't my function to plot growth over time working?

Asked 2020-Jul-09 at 12:42

I want to create a function that plots the growth (or Cover as described in the dataset) of a plant species inside of a plot over time. In other words, I want to plot Cover over Date for one species in one plot over time.

Here is an example of the dataset:

...

ANSWER

Answered 2020-Jul-08 at 20:09

You can try this:

Source https://stackoverflow.com/questions/62802729

QUESTION

Prometheus: grouping metrics by metric names

Asked 2018-Aug-17 at 10:43

Is there a way to group all metrics of an app by metric names? A portion from a query listing all metrics for an app (i.e. {app="bar"}) :

...

ANSWER

Answered 2018-Mar-06 at 22:12

{__name__=~".+"} will return all non-stale time series, however this is an expensive query and should be generally avoided.

Source https://stackoverflow.com/questions/49135746

QUESTION

PHP : chdir('../') not working from command line

Asked 2017-Aug-16 at 13:51

I'm developing a PHP cron script to check if a server is up or not (Ping).

Here is my code :

...

ANSWER

Answered 2017-Aug-16 at 13:51

The current working directory would be where you are executing the script from, not where the script lives. You can get the directory that contains the script using the constant __DIR__

Source https://stackoverflow.com/questions/45715384

QUESTION

PHP Delete newline before insert MySQL

Asked 2017-Aug-08 at 03:01

I've been searching for days to get this fixed:

I cannot get newlines removed out of a string. All i tried:"

...

ANSWER

Answered 2017-Aug-08 at 03:01

use strip_tags

Source https://stackoverflow.com/questions/45550940

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

Vulnerabilities

No vulnerabilities reported

Install DASP

In your Python 3 environment run:. We recommand using a virtual environment. This will install the required LPDN dependency but will assume tensorflow, keras and numpy are already available.

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 .

Find more information at: