import_python_packages: Import Python Libraries
In GeneSelectR: 'GeneSelectR' - Comprehensive Feature Selection Workflow for Bulk RNAseq Datasets
View source: R/import_python_packages.R
import_python_packages R Documentation
Import Python Libraries
Description
This function imports the necessary Python libraries for the package.
Usage
import_python_packages()
Value
A list containing references to imported Python libraries used in the package:
@field sklearn: Scikit-learn machine learning library.
@field pandas: Data manipulation and analysis library.
@field numpy: Library for numerical computing.
@field lightgbm: Gradient boosting framework.
@field xgboost: Optimized distributed gradient boosting library.
@field boruta: Feature selection algorithm.
@field sys: Python system-specific parameters and functions.
@field multiprocessing: Support for concurrent execution using processes.
GeneSelectR documentation built on May 29, 2024, 4:01 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/import_python_packages.R
| import_python_packages | R Documentation |
Import Python Libraries
Description
This function imports the necessary Python libraries for the package.
Usage
import_python_packages()
Value
A list containing references to imported Python libraries used in the package:
@field sklearn: Scikit-learn machine learning library.
@field pandas: Data manipulation and analysis library.
@field numpy: Library for numerical computing.
@field lightgbm: Gradient boosting framework.
@field xgboost: Optimized distributed gradient boosting library.
@field boruta: Feature selection algorithm.
@field sys: Python system-specific parameters and functions.
@field multiprocessing: Support for concurrent execution using processes.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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