RAM-SCB Autoencoder and Dataset

ram_scb_autoencoder============================== An autoencoder model for the RAM-SCB inner magnetosphere model. Project Organization------------ ├── README.md <- The top-level README for developers using this project. ├── data │ ├── processed <- The final, canonical data sets for modeling. ├── models <- Trained and serialized models, model predictions, or model summaries ├── src <- Source code for training and visualization Data---- dates_*.npy <- the datetime objects of the test,validation and training datasets.log_*.npy <- Inputs into the model (unscaled).lstm_input*.npy <- Inputs into the lstm before sequencing.*_enc.npy <- Data after encoding using the autoencoder.*_enc_oae.npy <- Data after encoding using the orthogonal autoencoder.rope_ae_* <- The outputs of the rope using autoencoder.rope_oae_* <- The outputs of the rope using orthogonal autoencoder. Models------ autoencoder_bo_best.keras <- Autoencoder model.autoencoder_ortho_decoder.keras <- Decoder for the orthogonal autoencoder.autoencoder_ortho_encoder.keras <- Encoder for the orthogonal autoencoder.rope_ae_resnet*.keras <- A single LSTM+Resnet model of the ROPE.rope_oae_*.keras <- A single LSTM+ResNet model of the OAEROPE.