PranavSharma

/

turnover-forecasting-model

like 0

• "statsmodels.tsa.statespace._kalman_filter.dKalmanFilter",
• "statsmodels.tsa.statespace._kalman_smoother.cKalmanSmoother",
• "pandas.core.indexes.base.Index",
• "statsmodels.tsa.statespace.kalman_smoother.SmootherResults",
• "types.SimpleNamespace",
• "statsmodels.tsa.statespace.initialization.Initialization",
• "statsmodels.tsa.statespace._kalman_smoother.zKalmanSmoother",
• "statsmodels.tsa.statespace._kalman_smoother.dKalmanSmoother",
• "statsmodels.tsa.arima.params.SARIMAXParams",
• "statsmodels.tsa.statespace._representation.sStatespace",
• "statsmodels.tsa.statespace._simulation_smoother.cSimulationSmoother",
• "statsmodels.tsa.statespace._kalman_filter.sKalmanFilter",
• "statsmodels.tsa.statespace.sarimax.SARIMAXResults",
• "numpy.float64",
• "statsmodels.tools.tools.Bunch",
• "statsmodels.tsa.statespace._initialization.zInitialization",
• "statsmodels.base.model.LikelihoodModelResults",
• "statsmodels.tsa.statespace._kalman_smoother.sKalmanSmoother",
• "statsmodels.tsa.statespace._representation.cStatespace",
• "statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults",
• "numpy._core.multiarray.scalar",
• "statsmodels.tsa.statespace._initialization.sInitialization",
• "pandas.core.internals.managers.BlockManager",
• "statsmodels.tsa.statespace._representation.dStatespace",
• "builtins.complex",
• "pandas.core.indexes.multi.MultiIndex",
• "statsmodels.tsa.statespace._simulation_smoother.zSimulationSmoother",
• "statsmodels.tsa.arima.specification.SARIMAXSpecification",
• "builtins.slice",
• "statsmodels.tsa.statespace._simulation_smoother.dSimulationSmoother",
• "numpy.dtype",
• "statsmodels.tsa.statespace._simulation_smoother.sSimulationSmoother",
• "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked",
• "statsmodels.tsa.statespace._kalman_filter.zKalmanFilter",
• "statsmodels.base.data.PandasData",
• "pandas.core.indexes.datetimes.DatetimeIndex",
• "pandas.core.internals.managers.SingleBlockManager",
• "statsmodels.tsa.statespace.sarimax.SARIMAX",
• "pandas.core.arrays.datetimes.DatetimeArray",
• "pandas.core.series.Series",
• "statsmodels.tsa.statespace._initialization.dInitialization",
• "statsmodels.tsa.statespace._representation.zStatespace",
• "statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother",
• "statsmodels.tsa.statespace._kalman_filter.cKalmanFilter",
• "pandas._libs.tslibs.offsets.QuarterEnd",
• "numpy._core.multiarray._reconstruct",
• "statsmodels.tsa.statespace.sarimax.SARIMAXResultsWrapper",
• "statsmodels.tsa.base.tsa_model.TimeSeriesModel",
• "statsmodels.tsa.statespace._initialization.cInitialization",
• "numpy.ndarray",
• "pandas.core.frame.DataFrame",
• "pandas._libs.internals._unpickle_block",
• "pandas.core.indexes.datetimes._new_DatetimeIndex",
• "pandas.core.indexes.base._new_Index"

How to fix it?