Metadata-Version: 2.1
Name: mssibyl
Version: 0.1.1.dev0
Summary: Time Series Forecasting Tool for Machine Learning Researchers with Nerual Process
Home-page: UNKNOWN
Author: More Zhou
Author-email: jinyzho@microsoft.com
License: MIT
Description: # Sibyl: A Time-Seires Forecasting Package 
        
        Sibyl is a package for forecasting time series data with PyTorchLightning which is a lightweight PyTorch wrapper for Machine Learning Researchers.
        
        Sibyl is released and maintained by Microsoft Substrate Connectivity Team.
        
        ## Models
        
        - [x] Seq to Seq
        - [x] Long-short term memory
        - [ ] Neural process
        - [ ] Attentive neural process
        
        ## Installation
        
        Sibyl is avaialbe on PyPi, feel free to get it via `pip`:
        
        ```
        pip install mssibyl
        ```
        
        ## Quick Start
        
        UPDATING ... 
        
        ```
        import pandas as pd
        from mssibyl.models import BaseModel
        from mssibyl.trainer import BaseTrainer
        from mssibyl.datasets.utils import make_timeline
        
        df = pd.read_csv("./data.csv")
        df.columns = ["ds", "y"]
        
        df_with_future = make_timeline(df, freq="H", periods=300)
        
        args = {
            "lookback": 48,
            "forecast_horizon": 1,
            "data": df_with_future,
            "target": "y",
        }
        
        sibyl_model = BaseModel(args)
        trainer = BaseTrainer(
            max_epochs=100, gpus=1, show_progress_bar=False, early_stop_callback=True
        )
        trainer.fit(sibyl_model)
        preds = sibyl_model.predict(interval=True, include_history=True)
        
        preds.to_csv("res.csv", index=False)
        ```
        
        ## Changelog
        
        
        ### Version 0.1 (coming)
        
        - Initial release
        
        ## License
        
        Sibyl is licensed under the [MIT license](LICENSE.md)
        
Keywords: time series forecasting,deep learning,pytorch
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
