https://pypi.org/project/pysyn-data/ Recent updates to the Python Package Index for pysyn-data en https://pypi.org/project/pysyn-data/0.3.9/ This package is for generating synthetic data using 4 models i.e Conditional Genrative Adveserial Networks(CTGAN), Gaussian Mixture Model (GMM), Prinicipal Component Analysis (PCA) and Bayesian Network (BN). It also informs the user which model will work best based on the input data characterisitics. raghav.20.rb@gmail.com Wed, 05 Jul 2023 09:35:17 GMT https://pypi.org/project/pysyn-data/0.3.8/ This package is for generating synthetic data using 4 models i.e Conditional Genrative Adveserial Networks(CTGAN), Gaussian Mixture Model (GMM), Prinicipal Component Analysis (PCA) and Bayesian Network (BN). It also informs the user which model will work best based on the input data characterisitics. raghav.20.rb@gmail.com Wed, 05 Jul 2023 09:27:37 GMT https://pypi.org/project/pysyn-data/0.3.7/ This package is for generating synthetic data using 4 models i.e Conditional Genrative Adveserial Networks(CTGAN), Gaussian Mixture Model (GMM), Prinicipal Component Analysis (PCA) and Bayesian Network (BN). It also informs the user which model will work best based on the input data characterisitics. raghav.20.rb@gmail.com Wed, 05 Jul 2023 09:24:22 GMT https://pypi.org/project/pysyn-data/0.3.6/ This package is for generating synthetic data using 4 models i.e Conditional Genrative Adveserial Networks(CTGAN), Gaussian Mixture Model (GMM), Prinicipal Component Analysis (PCA) and Bayesian Network (BN). It also informs the user which model will work best based on the input data characterisitics. raghav.20.rb@gmail.com Wed, 05 Jul 2023 09:23:05 GMT https://pypi.org/project/pysyn-data/0.3.5/ This package is for generating synthetic data using 4 models i.e Conditional Genrative Adveserial Networks(CTGAN), Gaussian Mixture Model (GMM), Prinicipal Component Analysis (PCA) and Bayesian Network (BN). It also informs the user which model will work best based on the input data characterisitics. raghav.20.rb@gmail.com Wed, 05 Jul 2023 09:21:06 GMT https://pypi.org/project/pysyn-data/0.3.4/ This package is for generating synthetic data using 4 models i.e Conditional Genrative Adveserial Networks(CTGAN), Gaussian Mixture Model (GMM), Prinicipal Component Analysis (PCA) and Bayesian Network (BN). It also informs the user which model will work best based on the input data characterisitics. raghav.20.rb@gmail.com Sun, 14 May 2023 19:56:41 GMT https://pypi.org/project/pysyn-data/0.3.3/ This package is for generating synthetic data using 4 models i.e Conditional Genrative Adveserial Networks(CTGAN), Gaussian Mixture Model (GMM), Prinicipal Component Analysis (PCA) and Bayesian Network (BN). It also informs the user which model will work best based on the input data characterisitics. raghav.20.rb@gmail.com Sun, 14 May 2023 19:53:14 GMT https://pypi.org/project/pysyn-data/0.3.2/ This package is for generating synthetic data using 4 models i.e Conditional Genrative Adveserial Networks(CTGAN), Gaussian Mixture Model (GMM), Prinicipal Component Analysis (PCA) and Bayesian Network (BN). It also informs the user which model will work best based on the input data characterisitics. raghav.20.rb@gmail.com Sun, 14 May 2023 19:26:37 GMT https://pypi.org/project/pysyn-data/0.3.1/ This package is for generating synthetic data using 4 models i.e Conditional Genrative Adveserial Networks(CTGAN), Gaussian Mixture Model (GMM), Prinicipal Component Analysis (PCA) and Bayesian Network (BN). It also informs the user which model will work best based on the input data characterisitics. raghav.20.rb@gmail.com Sun, 14 May 2023 18:54:50 GMT https://pypi.org/project/pysyn-data/0.3/ This package is for generating synthetic data using 4 models i.e Conditional Genrative Adveserial Networks(CTGAN), Gaussian Mixture Model (GMM), Prinicipal Component Analysis (PCA) and Bayesian Network (BN). It also informs the user which model will work best based on the input data characterisitics. raghav.20.rb@gmail.com Wed, 22 Mar 2023 02:02:35 GMT https://pypi.org/project/pysyn-data/0.2.5/ This package is for generating synthetic data using 4 models i.e Conditional Genrative Adveserial Networks(CTGAN), Gaussian Mixture Model (GMM), Prinicipal Component Analysis (PCA) and Bayesian Network (BN). It also informs the user which model will work best based on the input data characterisitics. raghav.20.rb@gmail.com Wed, 22 Mar 2023 01:54:03 GMT https://pypi.org/project/pysyn-data/0.2.3/ This package is for generating synthetic data using 4 models i.e Conditional Genrative Adveserial Networks(CTGAN), Gaussian Mixture Model (GMM), Prinicipal Component Analysis (PCA) and Bayesian Network (BN). It also informs the user which model will work best based on the input data characterisitics. raghav.20.rb@gmail.com Wed, 22 Mar 2023 01:45:21 GMT https://pypi.org/project/pysyn-data/0.2.1/ This package is for generating synthetic data using 4 models i.e Conditional Genrative Adveserial Networks(CTGAN), Gaussian Mixture Model (GMM), Prinicipal Component Analysis (PCA) and Bayesian Network (BN). It also informs the user which model will work best based on the input data characterisitics. raghav.20.rb@gmail.com Wed, 22 Mar 2023 00:34:26 GMT https://pypi.org/project/pysyn-data/0.2/ This package is for generating synthetic data using 4 models i.e Conditional Genrative Adveserial Networks(CTGAN), Gaussian Mixture Model (GMM), Prinicipal Component Analysis (PCA) and Bayesian Network (BN). It also informs the user which model will work best based on the input data characterisitics. raghav.20.rb@gmail.com Wed, 22 Mar 2023 00:30:30 GMT https://pypi.org/project/pysyn-data/0.1/ This package is for generating synthetic data using 4 models i.e Conditional Genrative Adveserial Networks(CTGAN), Gaussian Mixture Model (GMM), Prinicipal Component Analysis (PCA) and Bayesian Network (BN). It also informs the user which model will work best based on the input data characterisitics. raghav.20.rb@gmail.com Tue, 21 Mar 2023 23:49:29 GMT