【 uniXerr CLI controller 】
Usage:
$ uniXerr [OPTIONS] COMMAND [ARGS]...Options:
--help: Show this message and exit.
Commands:
classify-positionscluster-positionsdeploydevelop
Usage:
$ uniXerr classify-positions [OPTIONS]Options:
--csv-path FILE: Path to labeled pc_features csv dataset.--input-data-csv-path FILE: Path to input data csv for classification.--ddo: Force deletion with confirmation for dataloader objects.--dpm: Force deletion with confirmation for pre-trained classifier model.--epoch INTEGER RANGE: Number of epoch for training classifier.--batch-size INTEGER RANGE: Number of batch size for training classifier.--device TEXT: Training device. cpu or cuda--num-workers INTEGER RANGE: Number of workers for pytroch dataloader object.--help: Show this message and exit.
Usage:
$ uniXerr cluster-positions [OPTIONS]Options:
--generate-fake-samples: Generating fake samples for training.--epoch INTEGER RANGE: Number of epoch for training VAE.--batch-size INTEGER RANGE: Number of batch size for training VAE.--device TEXT: Training device. cpu or cuda--num-workers INTEGER RANGE: Number of workers for pytroch dataloader object.--latent-dim INTEGER RANGE: Dimension of VAE latent space.--ddo: Force deletion with confirmation for dataloader object.--dpm: Force deletion with confirmation for pre-trained VAE model.--cluster-on-raw-data: Clustering on pc_features dataset, default is set to VAE latent space--cluster-method TEXT: Clustering method. kmeans or hdbscan; hdbscan is not suitable for latent space of VAE and has some drawbacks for new dataset.--plot-method TEXT: Plotting method for data. pca or tsne; if you want plot data before clustering on different methods just remove the pc_dataloader.pth with --ddo option.--help: Show this message and exit.
Usage:
$ uniXerr develop [OPTIONS]Options:
--workers INTEGER RANGE: Number of workers.--help: Show this message and exit.