Pinned Repositories
asgl
A regression solver for linear and quantile regression models and lasso based penalizations'
bartpy
Bayesian Additive Regression Trees For Python
Boruta-Shap
A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
cvxpy
A Python-embedded modeling language for convex optimization problems.
dcekit
DCEKit (Data Chemical Engineering toolKit)
Deep-Forest
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
deltapy
DeltaPy - Tabular Data Augmentation (by @firmai)
facet
Human-explainable AI.
FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
rulefit
Python implementation of the rulefit algorithm
jckkvs's Repositories
jckkvs/facet
Human-explainable AI.
jckkvs/rulefit
Python implementation of the rulefit algorithm
jckkvs/asgl
A regression solver for linear and quantile regression models and lasso based penalizations'
jckkvs/bartpy
Bayesian Additive Regression Trees For Python
jckkvs/cvxpy
A Python-embedded modeling language for convex optimization problems.
jckkvs/Deep-Forest
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
jckkvs/deltapy
DeltaPy - Tabular Data Augmentation (by @firmai)
jckkvs/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
jckkvs/gbart
jckkvs/guikit-learn
jckkvs/linear-tree
A python library to build Model Trees with Linear Models at the leaves.
jckkvs/imodels_
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
jckkvs/lire
LIRE: Locally Interpretable Rule Ensemble [ECMLPKDD-23]
jckkvs/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
jckkvs/OpenFE
OpenFE: automated feature generation with expert-level performance
jckkvs/optuna
A hyperparameter optimization framework
jckkvs/PRF
Probabilistic Random Forest: A machine learning algorithm for noisy datasets
jckkvs/pyGAM
[HELP REQUESTED] Generalized Additive Models in Python
jckkvs/pytools
Foundational tools for BCG GAMMA’s data science packages.
jckkvs/quantile-forest
Quantile Regression Forests compatible with scikit-learn.
jckkvs/RotationForest
A python implementation of the Rotation Forest algorithm per https://arxiv.org/abs/1809.06705.
jckkvs/sage
For calculating global feature importance using Shapley values.
jckkvs/scipyC
jckkvs/shap
A game theoretic approach to explain the output of any machine learning model.
jckkvs/sklearn-genetic
Genetic feature selection module for scikit-learn
jckkvs/sklearn_supplement
jckkvs/tibfold
Calculate the bias of k-fold cross-validation with hyper-parameter configuration
jckkvs/vsdx
vsdx - A python library for processing .vsdx files
jckkvs/XBNet
Boosted neural network for tabular data
jckkvs/zoofs
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.