Classes

Classes representing data, experiment, and evaluation objects.

constants.CAMPAConfig()	Configuration for CAMPA.
data.MPPData(metadata, channels, data, ...)	Pixel-level data representation.
data.NNDataset(dataset_name[, data_config])	Dataset for training and evaluation of neural networks.
tl.Experiment(config)	Experiment stored on disk with neural network.
tl.Estimator(exp)	Neural network estimator.
tl.Predictor(exp[, batch_size])	Predict results from trained model.
tl.ModelComparator(exps[, save_dir])	Compare experiments.
tl.Cluster(config[, cluster_mpp, save_config])	Cluster data.
tl.FeatureExtractor(exp, data_dir, cluster_name)	Extract features from clustering.
tl.BaseAEModel(**kwargs)	Base class for AE and VAE models.
tl.VAEModel(**kwargs)	VAE with simple Gaussian prior (trainable with KL loss).
tl.ModelEnum(value)	Neural network models.
tl.LossEnum(value)	Loss functions.