ggt.modules.inference
Module Contents
Functions
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Using the model defined in model path, return the output values for |
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Attributes
- ggt.modules.inference.predict(model_path, dataset, cutout_size, channels, parallel=False, batch_size=256, n_workers=1, model_type='ggt', n_out=1, mc_dropout=False, dropout_rate=None)
Using the model defined in model path, return the output values for the given set of images
- ggt.modules.inference.main(model_path, output_path, data_dir, cutout_size, channels, parallel, slug, split, normalize, batch_size, n_workers, label_cols, model_type, repeat_dims, label_scaling, mc_dropout, dropout_rate, transform, errors, cov_errors, n_runs, ini_run_num, labels, scaling_data_dir, scaling_slug)
- ggt.modules.inference.log_fmt = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'