Name | Version | Summary | date |
so4gp |
0.6.5 |
Some Python optimization algorithms for mining gradual patterns. |
2024-11-13 10:04:59 |
skforecast |
0.14.0 |
Skforecast is a Python library for time series forecasting using machine learning models. It works with any regressor compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others. |
2024-11-11 13:34:49 |
skfolio |
0.5.1 |
Portfolio optimization built on top of scikit-learn |
2024-11-09 11:31:38 |
multi-comp-matrix |
0.0.2 |
Multi Comparison Matrix: A long term approach to benchmark evaluations |
2024-11-04 17:02:29 |
dtaianomaly |
0.2.2 |
A simple-to-use Python package for time series anomaly detection! |
2024-10-30 07:26:24 |
supertree |
0.5.3 |
Visualize decision tree in Python |
2024-10-29 11:39:11 |
SQLDataModel |
1.1.0 |
SQLDataModel is a lightweight dataframe library designed for efficient data extraction, transformation, and loading (ETL) across various sources and destinations, providing an efficient alternative to common setups like pandas, numpy, and sqlalchemy while also providing additional features without the overhead of external dependencies. |
2024-10-22 16:18:29 |
mat-classification |
0.1rc1 |
MAT-classification: Analysis and Classification methods for Multiple Aspect Trajectory Data Mining |
2024-10-02 03:47:41 |
mat-clustering |
0.1rc1 |
Clustering Methods for Multiple Aspect Trajectory Data Mining |
2024-10-02 03:44:34 |
mat-data |
0.1rc6 |
MAT-data: Data Preprocessing for Multiple Aspect Trajectory Data Mining |
2024-10-02 03:41:23 |
mat-model |
0.1rc1 |
MAT-model: Model Classes for Multiple Aspect Trajectory Data Mining |
2024-10-02 03:37:57 |
mat-similarity |
0.1rc1 |
Similarity Methods and Functions for Multiple Aspect Trajectory Data Mining |
2024-10-02 03:33:58 |
mat-view |
0.1rc1 |
MAT-view: Visualization Tools for Multiple Aspect Trajectory Data Mining |
2024-10-02 03:28:15 |
patsemb |
0.1.1 |
PaTSEmb: Pattern-based Time Series Embedding |
2024-09-18 12:18:04 |
skpro |
2.6.0 |
A unified framework for probability distributions and probabilistic supervised regression |
2024-09-09 08:42:51 |
aeon |
0.11.1 |
A toolkit for machine learning from time series |
2024-09-07 18:14:25 |
elastic-warping-vis |
0.2.1 |
Visualization of Elastic Warping of Time Series Data |
2024-07-29 16:59:03 |
bioscience |
0.1.3 |
bioScience: A new Python science library for High-Performance Computing Bioinformatics Analytics |
2024-07-27 21:04:14 |
rensa |
0.1.6 |
High-performance MinHash implementation in Rust with Python bindings for efficient similarity estimation and deduplication of large datasets |
2024-06-25 17:10:17 |
shogunfolio |
0.1.0 |
Portfolio optimization built on top of scikit-learn |
2024-05-25 17:55:11 |