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- 1.52 kB initial commit
- 634 Bytes added app.py, models and requirements
- 2.21 kB added app.py, models and requirements
- arima_model.pkl1.07 MB
Detected Pickle imports (56)
- "statsmodels.tsa.statespace._kalman_filter.zKalmanFilter",
- "statsmodels.tsa.statespace.kalman_smoother.SmootherResults",
- "pandas._libs.tslibs.offsets.BusinessDay",
- "statsmodels.tsa.base.tsa_model.TimeSeriesModel",
- "statsmodels.tsa.arima.params.SARIMAXParams",
- "statsmodels.tsa.statespace._representation.cStatespace",
- "statsmodels.tsa.statespace._initialization.zInitialization",
- "statsmodels.tsa.statespace._kalman_smoother.zKalmanSmoother",
- "statsmodels.tsa.statespace._simulation_smoother.cSimulationSmoother",
- "pandas._libs.tslibs.timestamps._unpickle_timestamp",
- "statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults",
- "statsmodels.tsa.statespace._kalman_filter.dKalmanFilter",
- "statsmodels.tsa.statespace._kalman_filter.sKalmanFilter",
- "pandas.core.frame.DataFrame",
- "statsmodels.tsa.statespace._kalman_filter.cKalmanFilter",
- "statsmodels.base.data.PandasData",
- "statsmodels.tools.tools.Bunch",
- "statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother",
- "numpy.ndarray",
- "statsmodels.tsa.statespace._initialization.dInitialization",
- "types.SimpleNamespace",
- "numpy.float64",
- "pandas._libs.internals._unpickle_block",
- "statsmodels.tsa.statespace._simulation_smoother.sSimulationSmoother",
- "statsmodels.tsa.statespace._representation.zStatespace",
- "statsmodels.tsa.statespace._initialization.cInitialization",
- "statsmodels.tsa.statespace._kalman_smoother.sKalmanSmoother",
- "statsmodels.tsa.statespace._initialization.sInitialization",
- "pandas.core.indexes.multi.MultiIndex",
- "statsmodels.tsa.arima.model.ARIMAResults",
- "statsmodels.tsa.statespace._kalman_smoother.cKalmanSmoother",
- "statsmodels.base.model.LikelihoodModelResults",
- "pandas.core.internals.managers.SingleBlockManager",
- "statsmodels.tsa.statespace._representation.sStatespace",
- "pandas.core.indexes.base.Index",
- "statsmodels.tsa.statespace._simulation_smoother.dSimulationSmoother",
- "numpy.core.multiarray.scalar",
- "numpy.core.multiarray._reconstruct",
- "pandas.core.internals.managers.BlockManager",
- "statsmodels.tsa.statespace._representation.dStatespace",
- "builtins.complex",
- "statsmodels.tsa.arima.model.ARIMA",
- "builtins.slice",
- "pandas.core.indexes.base._new_Index",
- "statsmodels.tsa.arima.model.ARIMAResultsWrapper",
- "numpy.dtype",
- "pandas.core.indexes.datetimes.DatetimeIndex",
- "pandas.core.series.Series",
- "statsmodels.tsa.statespace._simulation_smoother.zSimulationSmoother",
- "datetime.timedelta",
- "pandas.core.arrays.datetimes.DatetimeArray",
- "statsmodels.tsa.arima.specification.SARIMAXSpecification",
- "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked",
- "statsmodels.tsa.statespace._kalman_smoother.dKalmanSmoother",
- "pandas.core.indexes.datetimes._new_DatetimeIndex",
- "statsmodels.tsa.statespace.initialization.Initialization"
xetAdd models with Git LFS (cleaned history) - prophet_daily.pkl75.9 kB
Detected Pickle imports (29)
- "stanio.reshape.VariableType",
- "collections.OrderedDict",
- "pandas._libs.tslibs.timestamps._unpickle_timestamp",
- "cmdstanpy.stanfit.metadata.InferenceMetadata",
- "cmdstanpy.cmdstan_args.OptimizeArgs",
- "prophet.models.CmdStanPyBackend",
- "pandas.core.frame.DataFrame",
- "stanio.reshape.Variable",
- "cmdstanpy.cmdstan_args.Method",
- "numpy.ndarray",
- "pandas.core.indexes.range.RangeIndex",
- "pandas._libs.internals._unpickle_block",
- "cmdstanpy.cmdstan_args.CmdStanArgs",
- "prophet.forecaster.Prophet",
- "pandas.core.internals.managers.SingleBlockManager",
- "pandas.core.indexes.base.Index",
- "numpy.core.multiarray._reconstruct",
- "cmdstanpy.stanfit.runset.RunSet",
- "builtins.slice",
- "pandas.core.indexes.base._new_Index",
- "cmdstanpy.compilation.CompilerOptions",
- "numpy.dtype",
- "pandas.core.series.Series",
- "cmdstanpy.model.CmdStanModel",
- "pandas._libs.tslibs.timedeltas._timedelta_unpickle",
- "pandas.core.arrays.datetimes.DatetimeArray",
- "pandas.core.internals.managers.BlockManager",
- "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked",
- "cmdstanpy.stanfit.mle.CmdStanMLE"
xetAdd models with Git LFS (cleaned history) - prophet_seasonal.pkl374 kB
Detected Pickle imports (29)
- "stanio.reshape.VariableType",
- "collections.OrderedDict",
- "pandas._libs.tslibs.timestamps._unpickle_timestamp",
- "cmdstanpy.stanfit.metadata.InferenceMetadata",
- "cmdstanpy.cmdstan_args.OptimizeArgs",
- "prophet.models.CmdStanPyBackend",
- "pandas.core.frame.DataFrame",
- "stanio.reshape.Variable",
- "cmdstanpy.cmdstan_args.Method",
- "numpy.ndarray",
- "pandas.core.indexes.range.RangeIndex",
- "pandas._libs.internals._unpickle_block",
- "cmdstanpy.cmdstan_args.CmdStanArgs",
- "prophet.forecaster.Prophet",
- "pandas.core.internals.managers.SingleBlockManager",
- "pandas.core.indexes.base.Index",
- "numpy.core.multiarray._reconstruct",
- "cmdstanpy.stanfit.runset.RunSet",
- "builtins.slice",
- "pandas.core.indexes.base._new_Index",
- "cmdstanpy.compilation.CompilerOptions",
- "numpy.dtype",
- "pandas.core.series.Series",
- "cmdstanpy.model.CmdStanModel",
- "pandas._libs.tslibs.timedeltas._timedelta_unpickle",
- "pandas.core.arrays.datetimes.DatetimeArray",
- "pandas.core.internals.managers.BlockManager",
- "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked",
- "cmdstanpy.stanfit.mle.CmdStanMLE"
xetAdd models with Git LFS (cleaned history) - 69 Bytes added app.py, models and requirements