This includes a generic n-th order Markov kernel model. To use this, the dt_settings variable is required, which stores the offsets of each data point the model is trained for. This is now also added to the pretrained model file, in addition to a 'notes' field, in which a description of the trained model can be given.
NOTE: This PR breaks previous pretrained model files.
This includes a generic n-th order Markov kernel model. To use this, the dt_settings variable is required, which stores the offsets of each data point the model is trained for. This is now also added to the pretrained model file, in addition to a 'notes' field, in which a description of the trained model can be given. NOTE: This PR breaks previous pretrained model files.