| Name | Version | Summary | date |
| brif |
1.4.5 |
Build decision trees and random forests for classification and regression. |
2024-10-15 19:26:10 |
| intelelm |
1.2.0 |
IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine |
2024-10-09 06:10:03 |
| kafe2 |
2.9.0 |
Karlsruhe Fit Environment 2: a package for fitting and elementary data analysis |
2024-10-07 12:49:16 |
| polars-loess |
0.1.1 |
LOESS algorithm for Polars |
2024-10-06 15:27:40 |
| asgl |
2.1.2 |
A regression solver for high dimensional penalized linear, quantile and logistic regression models |
2024-10-01 19:33:17 |
| linearmodels |
6.1 |
Linear Panel, Instrumental Variable, Asset Pricing, and System Regression models for Python |
2024-09-24 09:46:18 |
| autotestreg |
0.2.1 |
Automatically test your functions to see if you have changed their behavior by mistake! |
2024-09-18 17:13:21 |
| dataprob |
0.9.4 |
Do likelihood based parameter estimation using maximum likeihood and bayesian methods |
2024-09-18 03:53:21 |
| rsklpr |
0.8.1 |
Implementation of the Robust Local Polynomial Regression with Similarity Kernel draft paper |
2024-08-02 01:54:16 |
| penlm |
1.1.0 |
Penalized Linear Models for Classification and Regression |
2024-07-28 17:10:52 |
| psy-reg |
1.5.0 |
Psyplot plugin for visualizing and calculating regression plots |
2024-07-16 13:43:45 |
| impactchart |
0.6.0 |
A package for generating impact charts. |
2024-07-16 01:23:30 |
| pyspark-regression |
3.5.1 |
A tool for regression testing Spark Dataframes in Python |
2024-07-08 00:17:36 |
| lmdiag |
0.4.1 |
Diagnostic Plots for Lineare Regression Models. Similar to plot.lm in R. |
2024-06-25 09:11:20 |
| ecmodels |
0.2 |
Econometric models and tests package. |
2024-06-15 21:30:34 |
| thetis |
0.2.1 |
Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects. |
2024-06-11 14:26:21 |
| thetiscore |
0.2.1 |
Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects. |
2024-06-11 14:25:49 |
| ImbalancedLearningRegression |
0.0.2 |
Python implementations of preprocesssing imbalanced data for regression |
2024-05-26 03:50:51 |
| premath |
0.2 |
This is a library for predictive math. |
2024-05-17 00:28:51 |
| sklearn-ml |
2.2 |
A light package build on scikit-learn, which is used for machine learning missions.By using it, you could conveniently train and use models at the same time, and do some model comparison. |
2024-04-25 14:40:23 |