pypi.org "Feature Selection" keyword
View the packages on the pypi.org package registry that are tagged with the "Feature Selection" keyword.
evopreprocess 0.5.0
Data Preprocessing with Evolutionary and Nature Inspired Algorithms.15 versions - Latest release: over 2 years ago - 1 dependent repositories - 34 downloads last month - 9 stars on GitHub - 1 maintainer
itershap 0.1.1
Iterative feature selection method using SHAP values2 versions - Latest release: about 2 years ago - 10 downloads last month - 3 stars on GitHub - 1 maintainer
Top 9.1% on pypi.org
26 versions - Latest release: over 2 years ago - 1 dependent repositories - 1.57 thousand downloads last month - 146 stars on GitHub - 4 maintainers
dominance-analysis 1.1.9
Dominance Analysis26 versions - Latest release: over 2 years ago - 1 dependent repositories - 1.57 thousand downloads last month - 146 stars on GitHub - 4 maintainers
zoish 5.0.4
Zoish is a Python package that streamlines machine learning by leveraging SHAP values for feature...36 versions - Latest release: over 1 year ago - 1 dependent package - 93 downloads last month - 11 stars on GitHub - 1 maintainer
kxy 1.4.11
A Powerful Serverless Pre-Learning and Post-Learning Analysis Toolkit147 versions - Latest release: over 3 years ago - 1 dependent repositories - 815 downloads last month - 52 stars on GitHub - 2 maintainers
geneticfs 0.03
Genetic Algorithm to optimise feature selection in Machine Learning2 versions - Latest release: almost 7 years ago - 1 dependent repositories - 5 downloads last month - 20 stars on GitHub - 1 maintainer
modelauto 0.6.1
Speed up your model making process. This will help you in selecting best features, best Models (S...6 versions - Latest release: about 4 years ago - 1 dependent repositories - 32 downloads last month - 1 stars on GitHub - 1 maintainer
shapboost 1.0.0
A Python package for the SHAPBoost feature selection algorithm1 version - Latest release: about 2 months ago - 22 downloads last month - 0 stars on GitHub - 1 maintainer
streamml2 0.05
Streamlined machine learning for transformation, feature selection, and model selection.5 versions - Latest release: over 6 years ago - 1 dependent repositories - 11 downloads last month - 1 stars on GitHub - 1 maintainer
rsfs 0.1
Dimensionality Reduction using Random Subset Feature Selection algorithm.1 version - Latest release: about 4 years ago - 1 dependent repositories - 13 downloads last month - 0 stars on GitHub - 1 maintainer
kavica 1.3.4
KAVICA: Powerful Python Cluster Analysis and Inference Toolkit6 versions - Latest release: over 2 years ago - 18 downloads last month - 0 stars on GitHub - 1 maintainer
pygrnn 0.1.2
Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature...2 versions - Latest release: over 4 years ago - 1 dependent repositories - 261 downloads last month - 76 stars on GitHub - 1 maintainer
test-01 1.0
Speed up your model making process. This will help you in selecting best features, best Models (S...3 versions - Latest release: over 4 years ago - 1 dependent repositories - 7 downloads last month - 1 maintainer
featboostx 0.1.0rc2
A Python package for the FeatBoost-X feature selection algorithm1 version - Latest release: 8 months ago - 72 downloads last month - 0 stars on GitHub - 1 maintainer
Related Keywords
Machine Learning
7
feature-selection
4
feature-engineering
3
Classification
3
Preprocessing
3
Regression
3
machine-learning
3
Model Selection
3
Data Preprocessing
2
Automation
2
data-science
2
Model
2
python
2
SVM
2
automation
1
ml
1
modelauto
1
Boosting
1
SHAPBoost
1
Optimisation
1
Algorithm
1
Genetic Algorithm
1
model-compression
1
machine-learning-library
1
information-theory
1
Post-Learning
1
Pre-Learning
1
FeatBoost-X
1
Gradient Boosting
1
Kernel Regression
1
General Regression Neural Network
1
Multiline Transformation
1
Feature Space Curvature Map
1
Organization Component Analysis
1
Self-organizing map
1
Unsupervised
1
Clustering
1
Parser
1
Factor Analysis
1
Cluster Inference System
1
Supervised Learning
1
AI
1
Dimensionality Reduction
1
Random Search
1
Grid Search
1
t-Distribution
1
Statistical Significance
1
Transformation
1
feature-importance
1
dominance-statistics
1
dominance-analysis
1
dominance
1
classification-model
1
Feature Importance
1
Dominance Analysis
1
Small datasets
1
XAI
1
Explainable AI
1
SHAP
1
sampling
1
preprocessing
1
nature-inspired-algorithms
1
genetic-algorithm
1
evolutionary-algorithms
1
Instance Weighting
1
Data Sampling
1
Nature Inspired Algorithms
1
Evolutionary Algorithms
1
AutoML
1
Lean ML
1
Data Valuation
1
Feature Engineering
1
scikit-learn
1
automl
1
shap
1
Machine learning
1
Pipeline
1
Auto ML
1
shapley-value
1
relative-importance
1
regression-models
1
r-square
1
pseudo-r-square
1
predictor-importance
1
predictor
1
multiple-regression
1
logistic-regression
1
keydrivers
1