| Name | Version | Summary | date |
| hierarchicalforecast |
1.0.0 |
Hierarchical Methods Time series forecasting |
2024-12-16 19:05:46 |
| hiclass |
4.13.3 |
Hierarchical Classification Library. |
2024-12-06 21:35:53 |
| hdbscan |
0.8.40 |
Clustering based on density with variable density clusters |
2024-11-18 16:14:05 |
| hnne |
1.0.2 |
A fast hierarchical dimensionality reduction algorithm. |
2024-10-22 16:56:49 |
| forestatrisk |
1.2.5 |
Modelling and forecasting deforestation in the tropics |
2024-07-17 02:45:15 |
| hierarchical-state-machine |
1.0.16 |
This python library provides an easy-to-learn and easy-to-use API for using Hierarchical State Machines in your project. The state machine is defined using a basic JSON string, and includes convenience timers. |
2024-05-31 23:23:13 |
| pybaywatch |
2024.4.8 |
PyBAYWATCH: BAYWATCH in Python |
2024-04-09 19:08:45 |
| peakoscope |
1.0.0 |
Data analysis of peak and valley regions |
2024-03-14 07:48:37 |
| tsaugmentation |
0.5.69 |
Robust time series tsaugmentation for forecasting algorithms |
2024-03-04 12:07:23 |
| classtree |
0.0.2 |
A toolkit for hierarchical classification |
2024-01-10 03:46:41 |
| quadbin |
0.2.1 |
Hierarchical geospatial indexing system for square cells in Web Mercator projection |
2023-12-26 12:01:24 |
| htc-tree |
0.0.6 |
A framework for Hierarchical Text Classification. |
2023-12-15 05:28:38 |
| htsmodels |
0.3.27 |
Forecasting algorithms for hierarchical time series |
2023-12-04 19:54:13 |
| simple-hierarchical-transformer |
0.2.0 |
Simple Hierarchical Transformer |
2023-12-01 02:27:41 |
| PyThief |
0.1.1 |
Python verison of Thief forecasting. |
2023-11-30 19:46:43 |
| htsexperimentation |
0.1.72 |
Hierarchical time series forecasting package to help analyze experiments |
2023-11-16 10:53:11 |
| gpforecaster |
0.3.142 |
Hierarchical time series forecasting model using Gaussian Processes |
2023-10-13 14:16:26 |
| hitac |
2.2.1 |
Hierarchical taxonomic classifier. |
2023-09-25 11:22:57 |
| persistable-clustering |
0.5.1 |
Density-based clustering for exploratory data analysis based on multi-parameter persistence |
2023-09-22 15:59:36 |
| teneva-ht-jax |
0.1.2 |
Compact implementation of basic operations in the Hierarchical Tucker (HT) format for approximation and sampling from multidimensional arrays and multivariate functions |
2023-04-21 10:48:27 |