Update README.md

README.md

@@ -1,9 +1,31 @@
 ---
+pipeline_tag: other
 tags:
-- pytorch_model_hub_mixin
-- model_hub_mixin
+  - time series
+  - forecasting
+  - pretrained models
+  - foundation models
+  - time series foundation models
+  - time-series
 ---
 
-This is new updated version of Moirai-1.0-R (https://huggingface.co/Salesforce/moirai-1.0-R-base).
-The new Moirai model achieved significant improvements (~20%) for low-frequency cases like Yearly and Quarterly data in Normalised Mean Absolute Error (NMAE) for 40 datasets on the Monash repository.
 
+# DeepFeatTimeGPTMaskedEncoderPredictor 
+
+Copyright (c) 2024. vencortex® - DeOS  | Decision Optimization System. All rights reserved.
+
+````Python
+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")
+````