AutoModelForAnomaly#

class tfts.models.auto_model.AutoModelForAnomaly(model, config)[source]#

tfts model for anomaly detection

Methods

`build_model`(inputs)
`compute_output_shape`(input_shape)
`detect`(x[, labels])
`from_config`(config)
`from_pretrained`(weights_dir)
`get_config`()
`load_pretrained_weights`(weights_dir)
`predict`(x, **kwargs)
`save_model`(weights_dir)
`save_pretrained`(save_directory[, ...])
`save_weights`(weights_path)
`summary`()
`to_model`()