simpleai | simple artificial intelligence utilities | Artificial Intelligence library
kandi X-RAY | simpleai Summary
kandi X-RAY | simpleai Summary
simpleai is a Python library typically used in Artificial Intelligence applications. simpleai has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install simpleai' or download it from GitHub, PyPI.
simple artificial intelligence utilities
simple artificial intelligence utilities
Support
Quality
Security
License
Reuse
Support
simpleai has a medium active ecosystem.
It has 899 star(s) with 230 fork(s). There are 109 watchers for this library.
It had no major release in the last 12 months.
There are 13 open issues and 11 have been closed. On average issues are closed in 225 days. There are 4 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of simpleai is 0.8.3
Quality
simpleai has 0 bugs and 0 code smells.
Security
simpleai has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
simpleai code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
simpleai 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
simpleai releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed simpleai and discovered the below as its top functions. This is intended to give you an instant insight into simpleai implemented functionality, and help decide if they suit your requirements.
- Start the web server
- Train the decision tree
- Return a new set of new NetInformationGain
- Creates a DecisionTreeNode for the given dataset
- Set results from a list of counts
- Calculate the minimum conflicts of the problem
- Find conflicts on a given assignment
- Return number of conflicts with given assignment
- Call constraint on assignment
- Convert variables to binary form
- Backtracking
- Return a string representation of the tree
- Try to classify the given example
- Returns a list of mknary constraints
- Create constraints
- Execute the program
- Learn the model
- Generate HTML report
- Computes the precision of the given classifier
- Perform a random expansion on the fringe
- Event handler
- Returns a list of all the actions in the string
- Parse a Sudoku puzzle
- Calculate heuristic distance
- Perform an astar search
- Called when there are no more than one of the runs
Get all kandi verified functions for this library.
simpleai Key Features
No Key Features are available at this moment for simpleai.
simpleai Examples and Code Snippets
Copy
self.players = [player_classes[player_type] for player_type, _ in player_info]
Copy
player_type = Player.get_player_type(player_num)
if player_type == 'h':
new_player = HumanPlayer.create_user(player_num, game_config.blank_char, player_list)
player_list.append(new_player)
elif player_type == 's':
new_AI = Simp
Community Discussions
Trending Discussions on simpleai
QUESTION
TypeError: 'dict' object is not callable fix in python card game
Asked 2021-Jan-21 at 13:33
TypeError: 'dict' object is not callable
Currently debugging a card game for a project and can't figure out how to fix this error. Any help would be appreciated!
...ANSWER
Answered 2021-Jan-21 at 13:33You are trying to use player_classes
as a Callable
when the object is fact a dict
, so you should access its elements by using the notation dict[key]
.
You need to change your list comprehension to
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install simpleai
You can install using 'pip install simpleai' or download it from GitHub, PyPI.
You can use simpleai 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.
You can use simpleai 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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