thon | |
from transformers import PatchTSMixerConfig, PatchTSMixerForPrediction | |
from transformers import Trainer, TrainingArguments, | |
config = PatchTSMixerConfig(context_length = 512, prediction_length = 96) | |
model = PatchTSMixerForPrediction(config) | |
trainer = Trainer(model=model, args=training_args, | |
train_dataset=train_dataset, | |
eval_dataset=valid_dataset) | |
trainer.train() | |
results = trainer.evaluate(test_dataset) | |
Usage tips | |
The model can also be used for time series classification and time series regression. |