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        "author": "Pedro Capelastegui",
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        "description": "Anticipy\n========\n\nAnticipy is a tool to generate forecasts for time series. It takes a pandas Series or DataFrame as input, and\nreturns a DataFrame with the forecasted values for a given period of time.\n\nFeatures:\n\n* **Simple interface**. Start forecasting with a single function call on a pandas DataFrame.\n* **Model selection**. If you provide different multiple models (e.g. linear, sigmoidal, exponential), the tool will\n  compare them and choose the best fit for your data.\n* **Trend and seasonality**. Support for weekly and monthly seasonality, among other types.\n* **Calendar events**. Provide lists of special dates, such as holiday seasons or bank holidays, to improve model\n  performance.\n* **Data cleaning**. The library has tools to identify and remove outliers, and to detect and handle step changes in\n  the data.\n\nIt is straightforward to generate a simple linear model with the tool - just call ``forecast.run_forecast(my_dataframe)``: ::\n\n   import pandas as pd, numpy as np\n   from anticipy import forecast\n\n   df = pd.DataFrame({'y': np.arange(0., 5)}, index=pd.date_range('2018-01-01', periods=5, freq='D'))\n   df_forecast = forecast.run_forecast(df, extrapolate_years=1)\n   print(df_forecast.head(12))\n\nOutput: ::\n\n    .        date source  is_actuals    model    y   q5  q20  q80  q95\n    0  2018-01-01    src        True  actuals  0.0  NaN  NaN  NaN  NaN\n    1  2018-01-02    src        True  actuals  1.0  NaN  NaN  NaN  NaN\n    2  2018-01-03    src        True  actuals  2.0  NaN  NaN  NaN  NaN\n    3  2018-01-04    src        True  actuals  3.0  NaN  NaN  NaN  NaN\n    4  2018-01-05    src        True  actuals  4.0  NaN  NaN  NaN  NaN\n    5  2018-01-01    src       False   linear  0.0  NaN  NaN  NaN  NaN\n    6  2018-01-02    src       False   linear  1.0  NaN  NaN  NaN  NaN\n    7  2018-01-03    src       False   linear  2.0  NaN  NaN  NaN  NaN\n    8  2018-01-04    src       False   linear  3.0  NaN  NaN  NaN  NaN\n    9  2018-01-05    src       False   linear  4.0  NaN  NaN  NaN  NaN\n    10 2018-01-06    src       False   linear  5.0  5.0  5.0  5.0  5.0\n    11 2018-01-07    src       False   linear  6.0  6.0  6.0  6.0  6.0\n\nDocumentation is available in `Read the Docs <https://anticipy.readthedocs.io/en/latest/>`_\n\n\n",
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