Python-Based Extensions for Data Analytics Workflows

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Documentation for package ‘daltoolboxdp’ version 1.2.707

• DESCRIPTION file.

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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