| Name | Version | Summary | date | 
        
        
            
                | hypertune | 
                1.1.0 | 
                A library for performing hyperparameter optimization with Polyaxon. | 
                2023-11-02 08:58:15 | 
            
        
            
                | pmdarima | 
                2.0.4 | 
                Python's forecast::auto.arima equivalent | 
                2023-10-23 13:55:11 | 
            
        
            
                | scikit-datasets | 
                0.2.4 | 
                Scikit-learn-compatible datasets | 
                2023-08-08 14:02:18 | 
            
        
            
                | sklearn-nature-inspired-algorithms | 
                0.12.0 | 
                Search using nature inspired algorithms over specified parameter values for an sklearn estimator. | 
                2023-08-05 18:50:42 | 
            
        
            
                | pyaf | 
                5.0 | 
                Python Automatic Forecasting | 
                2023-07-12 22:24:01 | 
            
        
            
                | sktree | 
                0.1.3 | 
                Modern decision trees in Python | 
                2023-07-05 23:35:30 | 
            
        
            
                | lazyforecast | 
                0.0.1 | 
                LazyForecast is a Python library for performing univariate time series analysis using a lazy forecasting approach. This approach is designed to provide quick and simple forecasting models without requiring extensive configuration or parameter tuning. | 
                2023-06-27 10:10:26 | 
            
        
            
                | skbase | 
                0.4.6 | 
                Base classes for sklearn-like parametric objects | 
                2023-06-17 20:17:58 | 
            
        
            
                | example-wise-f1-maximizer | 
                0.1.5 | 
                A scikit-learn meta-estimator for multi-label classification that aims to maximize the example-wise F1 measure | 
                2023-06-16 11:15:57 | 
            
        
            
                | scikit-MDR | 
                0.4.5 | 
                Multifactor Dimensionality Reduction (MDR) | 
                2023-06-14 17:45:02 | 
            
        
            
                | DataDoctor | 
                1.0.15 | 
                A Python package for data cleaning and preprocessing. | 
                2023-06-03 20:19:28 | 
            
        
            
                | skdoc | 
                0.0.1.5 | 
                Automated documentation engine for scikit-learn models | 
                2023-04-16 16:16:19 | 
            
        
            
                | rapidpredict | 
                0.0.0.9 | 
                rapid predict is a python package to simplifies the process of fitting and evaluating multiple machine learning models on a dataset. | 
                2023-04-14 03:43:24 | 
            
        
            
                | quality-assurance-data | 
                0.0.0.1 | 
                Quality Assurance data and machine learning | 
                2023-04-10 13:50:01 | 
            
        
            
                | synthetic-dataset | 
                0.0.0.2 | 
                Generating accurate and safe synthetic datasets for tabular, classification, and time-series labeling tasks | 
                2023-04-10 04:37:01 | 
            
        
            
                | patatas | 
                0.1.1 | 
                A powerful package for K-NN regression, data preprocessing, and analysis for Data Science | 
                2023-03-27 10:09:54 | 
            
        
            
                | semal | 
                0.0.1 | 
                Tools for deserializing sklearn objects | 
                2023-03-26 20:18:45 | 
            
        
            
                | sk-transformers | 
                0.10.3 | 
                A collection of various pandas & scikit-learn compatible transformers for all kinds of preprocessing and feature engineering | 
                2023-03-10 07:33:51 | 
            
        
            
                | zat | 
                0.4.6 | 
                Zeek Analysis Tools | 
                2023-01-26 21:42:11 | 
            
        
            
                | poniard | 
                0.5.0 | 
                Streamline scikit-learn model comparison | 
                2022-12-21 13:57:34 |