Man pages for daltoolboxdp
Python-Based Extensions for Data Analytics Workflows
| autoenc_adv_e | Adversarial Autoencoder - Encode |
| autoenc_adv_ed | Adversarial Autoencoder - Encode |
| autoenc_conv_e | Convolutional Autoencoder - Encode |
| autoenc_conv_ed | Convolutional Autoencoder - Encode |
| autoenc_denoise_e | Denoising Autoencoder - Encode |
| autoenc_denoise_ed | Denoising Autoencoder - Encode |
| autoenc_e | Autoencoder - Encode |
| autoenc_ed | Autoencoder - Encode-decode |
| autoenc_lstm_e | LSTM Autoencoder - Encode |
| autoenc_lstm_ed | LSTM Autoencoder - Decode |
| autoenc_stacked_e | Stacked Autoencoder - Encode |
| autoenc_stacked_ed | Stacked Autoencoder - Encode |
| autoenc_variational_e | Variational Autoencoder - Encode |
| autoenc_variational_ed | Variational Autoencoder - Encode |
| bal_oversampling | Oversampling |
| bal_subsampling | Subsampling |
| fs | Feature Selection |
| fs_fss | Forward Stepwise Selection |
| fs_ig | Information Gain |
| fs_lasso | Feature Selection using Lasso |
| fs_relief | Relief |
| skcla_gb | Gradient Boosting Classifier |
| skcla_knn | K-Nearest Neighbors Classifier |
| skcla_mlp | Multi-layer Perceptron Classifier |
| skcla_nb | Gaussian Naive Bayes Classifier |
| skcla_rf | Random Forest Classifier |
| skcla_svc | Support Vector Machine Classification |
| ts_conv1d | Conv1D |
| ts_lstm | LSTM |
