L2L | Learning to Learn : Gradient-free Optimization framework | Machine Learning library

by IGITUGraz Python Version: v1.0.0-beta License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | L2L Summary

L2L is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. L2L has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Learning to Learn: Gradient-free Optimization framework

Support

Quality

Security

License

Reuse

Support

L2L has a low active ecosystem.

It has 27 star(s) with 14 fork(s). There are 16 watchers for this library.

It had no major release in the last 12 months.

There are 15 open issues and 33 have been closed. On average issues are closed in 69 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of L2L is v1.0.0-beta

Quality

L2L has 0 bugs and 0 code smells.

Security

L2L has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

L2L code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

L2L is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

L2L releases are available to install and integrate.

Build file is available. You can build the component from source.

L2L saves you 1951 person hours of effort in developing the same functionality from scratch.

It has 4295 lines of code, 256 functions and 59 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed L2L and discovered the below as its top functions. This is intended to give you an instant insight into L2L implemented functionality, and help decide if they suit your requirements.

Runs the L2L - Exponential experiment
Create shared logger data
Configures the global logger
Run the given function using the given function
Get a function by index
Add a postprocessing function
Get the parameters for a given benchmark
Post - process fitnesses
Add a result group
Convert a parameter list to a dictionary
Convert a dictionary to a list
Apply a function to each object
Fit the Gaussian distribution
Compute the score for a given trajectory
Perform post processing
Creates a random individual
Plot the cost function
Get a function by its name
Ends the ensemble
Add a post processing function
Run the given function in the optimization environment
Create shared logger data
Evaluate fitnesses
Configure the global logger
Performs post processing of fitnesses
Calculate the fitnesses for each individual
Post - processing function for fitnesses
Performs the post - processing
Evaluate the fitnesses
Performs post - processing

Get all kandi verified functions for this library.

L2L Key Features

No Key Features are available at this moment for L2L.

L2L Examples and Code Snippets

No Code Snippets are available at this moment for L2L.

Community Discussions

Trending Discussions on L2L

Excel: How to calculate the sum product with multiple conditions?

QUESTION

Excel: How to calculate the sum product with multiple conditions?

Asked 2021-Jul-25 at 16:24

My table looks like this:

As you can see the there is a rate chart and distribution of Staff among different levels. What I need is a table with the total rate for each staff. For example, if you take staff C, you can see he is in Cat2 with 2 times in L1U and 3 times in L1L Cat2; also Cat1 for 3 times in L2L. So the total amount for C will be:

...

ANSWER

Answered 2021-Jul-24 at 14:28

Here is a solution with three helper columns K:M.

Formulas

K3 =INDEX($A$2:$D$12,MATCH($F3,$A$2:$A$12,0),MATCH(G$2,$A$2:$D$2,0)). It looks up the rate for the given combination of Level and Category. It would not be necessary to use the MATCH formula, but it is more robust this way.
P3 =SUMIFS($K$3:$M$14,$G$3:$I$14,O3) just sums up the rates per each category for the given staff name. (Revised based on Naresh's comment)

Source https://stackoverflow.com/questions/68509707

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

Vulnerabilities

No vulnerabilities reported

Install L2L

You can download it from GitHub.
You can use L2L 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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