forecast() takes 1 positional argument but 2 were given

[muhdzubair]

Hi, I am tryin to run this code but it is throwing error on forecast function

`gm11 = grey.gm11

gm11.add_pattern(223.3, "a1")
gm11.add_pattern(227.3, "a2")
gm11.add_pattern(230.5, "a3")
gm11.add_pattern(238.1, "a4")
gm11.add_pattern(242.9, "a5")
gm11.add_pattern(251.1, "a6")

gm11.forecast(2) # Default is 1, the parameter means how many next moments need to forcast continually.

---

TypeError Traceback (most recent call last)
in
14 gm11.add_pattern(df_mbu_p2.loc[1]['M1'], "M1")
15
---> 16 gm11.forecast(1)

TypeError: forecast() takes 1 positional argument but 2 were given`

[RSerSYQ]

Did you solve this question？I have met the same question, thanks!

[Kalvar]

Hi, It works for:
gm11.period = 2
gm11.forecast()

And thanks to open an issue to inform me this jotting code, I will find another time to optimize the algorithm.

[muhdzubair]

Hi, It works for:
gm11.period = 2
gm11.forecast()

And thanks to open an issue to inform me this jotting code, I will find another time to optimize the algorithm.

Yes it worked! 😊

Now I am wondering how to get forecast values as print_forecasted_results() only print original and forecast values from self.analyzed_results as checked in grey_class.py

@Kalvar if you can guide. Thanks.

[no-trick-pony]

@muhdzubair

Now I am wondering how to get forecast values as print_forecasted_results() only print original and forecast values from self.analyzed_results as checked in grey_class.py

If you look at the gm11 class and the forecast method there, you will see that it returns the output of the internal __forecast method, which is an array of grey_forecast objects - see: https://github.com/Kalvar/python-GreyTheory/blob/master/greytheory/packages/models/grey_forecast.py

So you can simply do:

results = gm11.forecast()

for r in results:
    print(r.forecast_value)

gm11 also stores the result internally, so you could also do:

gm11.forecast()

for r in gm11.analyzed_results:
    print(r.forecast_value)