Introduction of DeepFeatTimeGPTMaskedEncoderMedium
Model Details of DeepFeatTimeGPTMaskedEncoderMedium
DeepFeatTimeGPTMaskedEncoderPredictor
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from deep_feat_core.libraries.DeepFeatTimeGPT.foundation_models.DeepFeatTimeGPTMaskedEncoder import (
DeepFeatTimeGPTMaskedEncoderPredictor,
)
model = DeepFeatTimeGPTMaskedEncoderPredictor(model_id= "medium")
predictions = model.predict(
time_series: pd.DataFrame, # Time series data to be used for prediction
measure_type: str, # measure_type
frequency: str = "M", # frequency
prediction_length: int = 64, # Number of periods to forecast into the future
num_samples: int = 1000, # Number of samples to use for prediction
context_id: str = "context_id")
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More Information About DeepFeatTimeGPTMaskedEncoderMedium huggingface.co Model
DeepFeatTimeGPTMaskedEncoderMedium huggingface.co
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DeepFeatTimeGPTMaskedEncoderMedium install url in huggingface.co: