| Name | Version | Summary | date |
| ydf |
0.4.1 |
YDF (short for Yggdrasil Decision Forests) is a library for training, serving, evaluating and analyzing decision forest models such as Random Forest and Gradient Boosted Trees. |
2024-04-19 14:31:25 |
| modelisation |
0.0.8 |
Modéliser des points expérimentaux |
2024-04-17 10:29:14 |
| gradientcobra |
1.1.4 |
Python implementation for Gradient COBRA by S. Has (2023) with other aggregation and kernel methods. |
2024-03-08 12:54:58 |
| coincidence |
0.6.6 |
Helper functions for pytest. |
2024-03-04 15:20:25 |
| lap-reg |
0.0.1 |
Lazy Polynomial Regression |
2024-02-26 10:55:06 |
| permetrics |
2.0.0 |
PerMetrics: A Framework of Performance Metrics for Machine Learning Models |
2024-02-24 07:58:00 |
| skpro |
2.2.0 |
A unified framework for probability distributions and probabilistic supervised regression |
2024-02-08 19:40:31 |
| ortho |
0.4.1 |
Generate orthogonal set of functions |
2024-02-08 02:44:28 |
| adaptivebridge |
1.1.0 |
Revolutionizing ML adaptive modelling for handling missing features and data. The model can predict missing data in real-world scenarios. |
2024-01-29 13:21:58 |
| adao |
9.12.0.3 |
A module for Data Assimilation and Optimization |
2024-01-28 07:01:19 |
| buildml |
1.0.9 |
Let's make building machine learning models the complex way, easy. |
2024-01-27 08:06:46 |
| jumpavg |
0.4.2 |
Library for locating changes in time series by grouping results. |
2024-01-24 09:06:51 |
| backwards-regression |
0.2.0 |
Backwards Regression Python Library - Automated feature selection in linear and logistic regression models. |
2024-01-23 16:25:21 |
| m5py |
0.3.3 |
An implementation of M5 (Prime) and model trees for scikit-learn. |
2024-01-22 16:13:00 |
| splinecloud-scipy |
1.2.6 |
A SplineCloud client based on SciPy. |
2024-01-18 22:26:47 |
| sparse-lmm |
0.6 |
An implementation of Linear Mixed Model, a statistical model that promotes sparse variable selection in the presence of correlated and linearly dependent variables. |
2024-01-09 04:27:10 |
| mlwizard |
1.0.1 |
Let's make building machine learning models the complex way, easy. |
2024-01-08 03:22:36 |
| mixxx-bisect |
0.4.1 |
Finds Mixxx regressions by binary searching over prebuilt snapshots |
2023-12-23 18:43:50 |
| regtabletotext |
0.0.12 |
Helpers to print regression output as well-formated text |
2023-12-19 08:38:33 |
| pcw-regrs-py |
1.9.1 |
Fast, optimal, extensible and cross-validated heterogeneous piecewise polynomial regression for timeseries. |
2023-12-10 18:06:58 |