| Name | Version | Summary | date |
| mlblocks |
0.6.1 |
Pipelines and primitives for machine learning and data science. |
2023-09-26 17:42:09 |
| molzip |
0.9.1 |
An implementation of compression-based regression and classification for molecular SMILES. |
2023-09-25 20:19:04 |
| precision-lasso |
0.2 |
An implementation of Precision Lasso, a statistical model that promotes sparse variable selection in the presence of correlated and linearly dependent variables. |
2023-09-18 04:06:50 |
| myregr |
0.0.1 |
a regression tool |
2023-09-14 19:40:26 |
| cvxreg |
0.1.13 |
A Python Package for Convex Regression |
2023-09-14 15:25:09 |
| perf-baseline |
0.1.0 |
The perf_baseline is a performance regression detection tool for Python projects. |
2023-09-06 05:37:24 |
| CosinorPy |
3.0 |
Python package for cosinor based rhytmometry |
2023-08-30 11:41:18 |
| salmon-lm |
1.2 |
A symbolic algebra based linear regression tool. |
2023-08-17 19:25:33 |
| splinator |
0.2.0 |
Python library for fitting linear-spine based logistic regression for calibration. |
2023-07-31 07:47:27 |
| regrez |
2.1.9 |
Easiest way to implement linear regression. |
2023-07-14 15:28:11 |
| datawhispers |
0.2.8.11 |
This is a library to solve regression problems or statistical analysis for the DHBW Mannheim courses Advanced Programming and Data Visualisation |
2023-07-07 21:39:25 |
| datawhsipers |
0.1 |
This is a library to solve regression problems or statistical analysis for the DHBW Mannheim courses Advanced Programming and Data Visualisation |
2023-07-01 10:12:17 |
| iolsmp |
1.0.0 |
Log linear model regression and dealing with zeros |
2023-06-21 07:17:02 |
| SmplML |
1.0.6 |
SmplML is a user-friendly Python module for streamlined machine learning classification and regression. It offers intuitive functionality for data preprocessing, model training, and evaluation. Ideal for beginners and experts alike, SmplML simplifies ML tasks, enabling you to gain valuable insights from your data with ease. |
2023-06-13 04:33:47 |
| tupa123 |
1.5.8 |
fully connected neural network with four layers |
2023-06-09 13:45:23 |
| tabular-ml |
0.0.2 |
This library wraps popular tabular regression/classification model enabling rapid evaluation and optimization. |
2023-06-05 19:33:38 |
| pycvr |
0.0.2 |
A Python Package for Convex Regression |
2023-06-03 15:26:07 |
| BindingGP |
0.0.36 |
This is for symbolic regression.Some of code are non-originality, just copy for use. All the referenced code are marked,details can be shown in their sources |
2023-05-05 12:50:43 |
| ace |
0.3.3 |
Non-parametric multivariate regressions by Alternating Conditional Expectations |
2023-05-03 06:15:47 |
| muCART |
1.0.2 |
Measure Inducing Classification and Regression Trees |
2023-04-23 17:22:04 |