How to Install and Uninstall python3-ml-collections Package on Kali Linux

Last updated: May 05,2024

1. Install "python3-ml-collections" package

Please follow the steps below to install python3-ml-collections on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-ml-collections
            
                    
    
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2. Uninstall "python3-ml-collections" package

This tutorial shows how to uninstall python3-ml-collections on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-ml-collections
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-ml-collections package on Kali Linux

Package: python3-ml-collections
Source: python-ml-collections
Version: 0.1.1-3
Installed-Size: 333
Maintainer: Debian Python Team
Architecture: all
Depends: python3:any, python3-absl, python3-contextlib2, python3-yaml, python3-six
Suggests: python-is-python3
Size: 56948
SHA256: d597477a878adfb404c3fe971a326051b38a37be48e3b9a0e39ed696a7f724a6
SHA1: d08dfa590754e1fbfcbdf6fcfbf18fa9c99419ac
MD5sum: 4458e8ba93381bcf546cc4aebda3fe50
Description: collections designed for ML usecases
The package provices two classes called ConfigDict and FrozenConfigDict that
are "dict-like" data structures with dot access to nested elements. Together,
they are supposed to be used as a main way of expressing configurations of
experiments and models.
.
Features:
* Dot-based access to fields.
* Locking mechanism to prevent spelling mistakes.
* Lazy computation.
* FrozenConfigDict() class which is immutable and hashable.
* Type safety.
* "Did you mean" functionality.
* Human readable printing (with valid references and cycles), using
valid YAML format.
* Fields can be passed as keyword arguments using the ** operator.
.
There are two exceptions to the strong type-safety of the ConfigDict.
int values can be passed in to fields of type float. In such a case, the
value is type-converted to a float before being stored. Similarly,
all string types (including Unicode strings) can be stored in fields
of type str or unicode.
Description-md5:
Homepage: https://github.com/google/ml_collections
Section: python
Priority: optional
Filename: pool/main/p/python-ml-collections/python3-ml-collections_0.1.1-3_all.deb