auto_model#

AutoModel to choose different models

Classes

AutoModel(model, config)

tfts auto model input tensor: [batch_size, sequence_length, num_features] output tensor: [batch_size, predict_sequence_length, num_labels]

AutoModelForAnomaly(model, config)

tfts model for anomaly detection

AutoModelForClassification(model, config)

tfts model for classification

AutoModelForPrediction(model, config)

tfts model for prediction

AutoModelForSegmentation(model, config)

tfts model for time series segmentation

AutoModelForUncertainty(model, config)

tfts model for time series uncertainty probabilistic forecasting model, not a point forecasting