/dports/net/p5-POE-Component-Client-Telnet/POE-Component-Client-Telnet-0.06/examples/ |
H A D | test.pl | 19 get_forecast => \&get_forecast, 56 sub get_forecast { subroutine
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/dports/math/py-statsmodels/statsmodels-0.13.1/examples/python/ |
H A D | statespace_forecasting.py | 71 fcast_res1 = res.get_forecast() 91 fcast_res2 = res.get_forecast(steps=2) 103 fcast_res3 = res.get_forecast('2010Q2') 118 fcast = res.get_forecast('2011Q4').summary_frame()
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H A D | statespace_local_linear_trend.py | 220 forecast = res.get_forecast('2014')
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/tsa/statespace/tests/ |
H A D | test_prediction.py | 84 fcast1 = res1.get_forecast(10) 85 fcast2 = res1.get_forecast(10)
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H A D | test_mlemodel.py | 562 assert_allclose(res.get_forecast(steps=10).predicted_mean, forecast) 570 assert_allclose(res.get_forecast(steps=10).predicted_mean,
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H A D | test_structural.py | 403 res.get_forecast(steps=1, exog=oos_exog)
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H A D | test_exponential_smoothing.py | 131 cls.forecast = res.get_forecast(cls.nforecast)
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H A D | test_dynamic_factor_mq.py | 1546 get_forecast_actual = res1.get_forecast(10) 1557 get_forecast_desired = res2.get_forecast(10)
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H A D | test_varmax.py | 911 res.get_forecast(steps=1, exog=oos_exog)
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H A D | test_sarimax.py | 2139 res.get_forecast(steps=1, exog=oos_exog)
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/dports/math/py-statsmodels/statsmodels-0.13.1/examples/notebooks/ |
H A D | statespace_forecasting.ipynb | 96 …"Out-of-sample forecasts are produced using the `forecast` or `get_forecast` methods from the resu… 115 "The `get_forecast` method is more general, and also allows constructing confidence intervals." 125 "fcast_res1 = res.get_forecast()\n", 145 …"Both of the functions `forecast` and `get_forecast` accept a single argument indicating how many … 163 "fcast_res2 = res.get_forecast(steps=2)\n", 191 "fcast_res3 = res.get_forecast('2010Q2')\n", 216 "fcast = res.get_forecast('2011Q4').summary_frame()\n", 236 … while the `get_prediction` method also returns additional results (similar to `get_forecast`).\n", 238 … is out-of-sample forecasting, it is easier to stick to the `forecast` and `get_forecast` methods." 668 …ify forecasting steps by dates, and the output of the `forecast` and `get_forecast` methods will n…
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H A D | statespace_local_linear_trend.ipynb | 227 "forecast = res.get_forecast('2014')"
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/dports/math/gretl/gretl-2021d/lib/src/ |
H A D | forecast.h | 63 FITRESID *get_forecast (MODEL *pmod, int t1, int t2, int pre_n,
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H A D | forecast.c | 3273 FITRESID *get_forecast (MODEL *pmod, int t1, int t2, int pre_n, in get_forecast() function 3652 fr = get_forecast(pmod, t1, t2, 0, dset, opt, &err); in model_do_forecast()
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/dports/math/py-statsmodels/statsmodels-0.13.1/docs/source/release/ |
H A D | version0.8.rst | 63 `get_forecast`, providing standard errors and confidence intervals as well
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/dports/math/py-statsmodels/statsmodels-0.13.1/docs/source/ |
H A D | statespace.rst | 592 - :py:meth:`get_forecast <mlemodel.MLEResults.get_forecast>` - compute
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/tsa/statespace/ |
H A D | mlemodel.py | 3299 def get_forecast(self, steps=1, **kwargs): member in MLEResults
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/dports/math/gretl/gretl-2021d/gui/ |
H A D | library.c | 2076 fr = get_forecast(pmod, t1, t2, pre_n, dataset, in gui_do_forecast()
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