runHTS.py does not work

[XanderHorn]

When trying to run the example script I get the following error:

INFO:matplotlib.font_manager:font search path ['/opt/conda/lib/python3.6/site-packages/matplotlib/mpl-data/fonts/ttf', '/opt/conda/lib/python3.6/site-packages/matplotlib/mpl-data/fonts/afm', '/opt/conda/lib/python3.6/site-packages/matplotlib/mpl-data/fonts/pdfcorefonts']
INFO:matplotlib.font_manager:generated new fontManager

TypeError Traceback (most recent call last)
in
44 # NOTE: CVselect takes a while, so if you want results in minutes instead of half-hours pick a different method
45 ##
---> 46 myDict = hts(data2, 52, nodes, holidays = holidays, method = "FP", transform = "BoxCox")
47 ##
48 # This output is a dictionary of dataframes, so you can do any further analysis that you may want. It also allows you to plot the forecasts.

/opt/conda/lib/python3.6/site-packages/htsprophet/hts.py in hts(y, h, nodes, method, freq, transform, include_history, cap, capF, changepoints, n_changepoints, yearly_seasonality, weekly_seasonality, holidays, seasonality_prior_scale, holidays_prior_scale, changepoint_prior_scale, mcmc_samples, interval_width, uncertainty_samples, skipFitting, numThreads)
270 ynew = fitForecast(y, h, sumMat, nodes, method, freq, include_history, cap, capF, changepoints, n_changepoints,
271 yearly_seasonality, weekly_seasonality, holidays, seasonality_prior_scale, holidays_prior_scale,
--> 272 changepoint_prior_scale, mcmc_samples, interval_width, uncertainty_samples, boxcoxT, skipFitting)
273 ##
274 # Inverse boxcox the data

/opt/conda/lib/python3.6/site-packages/htsprophet/fitForecast.py in fitForecast(y, h, sumMat, nodes, method, freq, include_history, cap, capF, changepoints, n_changepoints, yearly_seasonality, weekly_seasonality, holidays, seasonality_prior_scale, holidays_prior_scale, changepoint_prior_scale, mcmc_samples, interval_width, uncertainty_samples, boxcoxT, skipFitting)
72 growth = 'linear'
73 m = Prophet(growth, changepoints1, n_changepoints1, yearly_seasonality, weekly_seasonality, holidays, seasonality_prior_scale,
---> 74 holidays_prior_scale, changepoint_prior_scale, mcmc_samples, interval_width, uncertainty_samples)
75 else:
76 growth = 'logistic'

/opt/conda/lib/python3.6/site-packages/fbprophet/forecaster.py in init(self, growth, changepoints, n_changepoints, changepoint_range, yearly_seasonality, weekly_seasonality, daily_seasonality, holidays, seasonality_mode, seasonality_prior_scale, holidays_prior_scale, changepoint_prior_scale, mcmc_samples, interval_width, uncertainty_samples)
140 self.component_modes = None
141 self.train_holiday_names = None
--> 142 self.validate_inputs()
143
144 def validate_inputs(self):

/opt/conda/lib/python3.6/site-packages/fbprophet/forecaster.py in validate_inputs(self)
147 raise ValueError(
148 "Parameter 'growth' should be 'linear' or 'logistic'.")
--> 149 if ((self.changepoint_range < 0) or (self.changepoint_range > 1)):
150 raise ValueError("Parameter 'changepoint_range' must be in [0, 1]")
151 if self.holidays is not None:

TypeError: '<' not supported between instances of 'str' and 'int'

[shankykm]

Try the solution in this link. It worked for me.

https://stackoverflow.com/questions/48450418/hts-prophet-holidays-issue/51400527#51400527

[emorfam]

Open PR
#7

[ashish2303]

i am getting same error while running runHTS.py. "TypeError: '<' not supported between instances of 'str' and 'int'" even though i tried with keyword arguments
detailed error:

---

TypeError Traceback (most recent call last)
in
----> 1 myDict = hts(data2, 12, nodes, method = "FP")

~\AppData\Local\Continuum\anaconda3\lib\site-packages\htsprophet\hts.py in hts(y, h, nodes, method, freq, transform, include_history, cap, capF, changepoints, n_changepoints, yearly_seasonality, weekly_seasonality, holidays, seasonality_prior_scale, holidays_prior_scale, changepoint_prior_scale, mcmc_samples, interval_width, uncertainty_samples, skipFitting, numThreads)
270 ynew = fitForecast(y, h, sumMat, nodes, method, freq, include_history, cap, capF, changepoints, n_changepoints,
271 yearly_seasonality, weekly_seasonality, holidays, seasonality_prior_scale, holidays_prior_scale,
--> 272 changepoint_prior_scale, mcmc_samples, interval_width, uncertainty_samples, boxcoxT, skipFitting)
273 ##
274 # Inverse boxcox the data

~\AppData\Local\Continuum\anaconda3\lib\site-packages\htsprophet\fitForecast.py in fitForecast(y, h, sumMat, nodes, method, freq, include_history, cap, capF, changepoints, n_changepoints, yearly_seasonality, weekly_seasonality, holidays, seasonality_prior_scale, holidays_prior_scale, changepoint_prior_scale, mcmc_samples, interval_width, uncertainty_samples, boxcoxT, skipFitting)
72 growth = 'linear'
73 m = Prophet(growth, changepoints1, n_changepoints1, yearly_seasonality, weekly_seasonality, holidays, seasonality_prior_scale,
---> 74 holidays_prior_scale, changepoint_prior_scale, mcmc_samples, interval_width, uncertainty_samples)
75 else:
76 growth = 'logistic'

~\AppData\Local\Continuum\anaconda3\lib\site-packages\fbprophet\forecaster.py in init(self, growth, changepoints, n_changepoints, changepoint_range, yearly_seasonality, weekly_seasonality, daily_seasonality, holidays, seasonality_mode, seasonality_prior_scale, holidays_prior_scale, changepoint_prior_scale, mcmc_samples, interval_width, uncertainty_samples)
140 self.component_modes = None
141 self.train_holiday_names = None
--> 142 self.validate_inputs()
143
144 def validate_inputs(self):

~\AppData\Local\Continuum\anaconda3\lib\site-packages\fbprophet\forecaster.py in validate_inputs(self)
147 raise ValueError(
148 "Parameter 'growth' should be 'linear' or 'logistic'.")
--> 149 if ((self.changepoint_range < 0) or (self.changepoint_range > 1)):
150 raise ValueError("Parameter 'changepoint_range' must be in [0, 1]")
151 if self.holidays is not None:

TypeError: '<' not supported between instances of 'str' and 'int'

[eoagustin]

Same. Still not working for me. Already added keyword arguments as mentioned in #7 but still getting the same error.

[amd-wtruong]

Hi everyone, the solution I found that worked for me was to clone the repo and delete the backslash \ characters. Not sure what \ does in python