penn-a | Evolving Inborn Knowledge For Fast Adaptation | Machine Learning library

by dlpbc Python Version: Current License: MIT

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

kandi X-RAY | penn-a Summary

penn-a is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. penn-a 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.

Code for "Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems"

Support

Quality

Security

License

Reuse

Support

penn-a has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

penn-a has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of penn-a is current.

Quality

penn-a has no bugs reported.

Security

penn-a has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

penn-a 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

penn-a 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 are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Produce next generation from the population
Delete a neuron
Generate genetic operators
Make a copy of the network with mutate
Perform a step
Reset the image
Calculate reward
Return the X value of the MDP
Move the given action
Resets the experiment state
Print a summary of population
Prints an info message
Performs the forward pass through the agent
Prints a message
Reset the game
Close the log file
Get the nfittest individuals
Load an agent
Write the top N agents to a log file
Save agent to file
Main loop
Draws a network graph
Train feature extractor model
Evaluate a list of agents
Evaluate agents
Select best fitness based on fitness
Run loop
Plot the images of the image

Get all kandi verified functions for this library.

penn-a Key Features

No Key Features are available at this moment for penn-a.

penn-a Examples and Code Snippets

No Code Snippets are available at this moment for penn-a.

Community Discussions

Trending Discussions on penn-a

No route matches {:action=>"show", :controller=>"produits", :id=>nil} missing required keys: [:id]

Ruby on Rails: wrong number of arguments (given 0, expected 1)

QUESTION

No route matches {:action=>"show", :controller=>"produits", :id=>nil} missing required keys: [:id]

Asked 2017-Jun-29 at 08:36

I have an action controller url generation error with the following:

...

ANSWER

Answered 2017-Jun-29 at 08:25

You are passing @produit to the path helper. Where as you should pass produit

Changing this line in index.html.erb will solve the issue

Source https://stackoverflow.com/questions/44819857

QUESTION

Ruby on Rails: wrong number of arguments (given 0, expected 1)

Asked 2017-May-30 at 12:24

I have an issue with my add_item method and have trouble to understand why.

Here is my carts_controller.rb

...

ANSWER

Answered 2017-May-30 at 09:04

You need to pass produit_id as a parameter.

So change this line as so...

Source https://stackoverflow.com/questions/44256658

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

Vulnerabilities

No vulnerabilities reported

Install penn-a

You can download it from GitHub.
You can use penn-a 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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