Prophet Forecasting
Question:
My dataframe is in weekly level as below:
sample
was trying to implement prophet model using the below code.
df.columns = ['ds', 'y']
# define the model
model = Prophet(seasonality_mode='multiplicative')
# fit the model
model1=model.fit(df)
model1.predict(10)
I need to predict the output in a weekly level for the next 10 weeks.How can I fix this?
I need to predict the output in a weekly level for the next 10 weeks.How can I fix this?
Answers:
You need to use model.make_future_dataframe to create new dates:
model = Prophet()
model.fit(df)
future = model.make_future_dataframe(periods=10)
predictions = model.predict(future)
predictions will give predicted values for the whole dataframe, you can reach to the forecasted values for the next 10 weeks with simple indexing:
future_preds = predictions.iloc[-10:]
My dataframe is in weekly level as below:
sample
was trying to implement prophet model using the below code.
df.columns = ['ds', 'y']
# define the model
model = Prophet(seasonality_mode='multiplicative')
# fit the model
model1=model.fit(df)
model1.predict(10)
I need to predict the output in a weekly level for the next 10 weeks.How can I fix this?
I need to predict the output in a weekly level for the next 10 weeks.How can I fix this?
You need to use model.make_future_dataframe to create new dates:
model = Prophet()
model.fit(df)
future = model.make_future_dataframe(periods=10)
predictions = model.predict(future)
predictions will give predicted values for the whole dataframe, you can reach to the forecasted values for the next 10 weeks with simple indexing:
future_preds = predictions.iloc[-10:]