Download and dependencies

git clone https://github.com/JulesBelveze/time-series-autoencoder.git

Usage

python3 main.py -cn=[PATH_TO_FOLDER_CONFIG] -cp=[CONFIG_NAME]

  -h, --help            show this help message and exit  --batch-size BATCH_SIZE                        batch size  --output-size OUTPUT_SIZE                        size of the ouput: default value to 1 for forecasting  --label-col LABEL_COL                        name of the target column  --input-att INPUT_ATT                        whether or not activate the input attention mechanism  --temporal-att TEMPORAL_ATT                        whether or not activate the temporal attention                        mechanism  --seq-len SEQ_LEN     window length to use for forecasting  --hidden-size-encoder HIDDEN_SIZE_ENCODER                        size of the encoder's hidden states  --hidden-size-decoder HIDDEN_SIZE_DECODER                        size of the decoder's hidden states  --reg-factor1 REG_FACTOR1                        contribution factor of the L1 regularization if using                        a sparse autoencoder  --reg-factor2 REG_FACTOR2                        contribution factor of the L2 regularization if using                        a sparse autoencoder  --reg1 REG1           activate/deactivate L1 regularization  --reg2 REG2           activate/deactivate L2 regularization  --denoising DENOISING                        whether or not to use a denoising autoencoder  --do-train DO_TRAIN   whether or not to train the model  --do-eval DO_EVAL     whether or not evaluating the mode  --data-path DATA_PATH                        path to data file  --output-dir OUTPUT_DIR                        name of folder to output files  --ckpt CKPT           checkpoint path for evaluation

Features

Examples