Forecast horizon issue about autots

[winedarksea]

You've got an issue with your datetime conversion from string. The key line below is pd.to_datetime(df.date, format='%d-%m-%Y')
Once I ran it with the df below, using a daily forecast for 30 days, I got the month of October, which is what I believe you were expecting.

import pandas as pd
location = "\your\directory\traffic.csv"
df = pd.read_csv(location, parse_dates=True)
df['date'] = pd.to_datetime(df.date)
# note that the 'Day' below is actually the 'Month' and vice-versa if you examine the dataframe
df['Day'] = df['date'].dt.day
df['Month'] = df['date'].dt.month

# Try this instead:
df = pd.read_csv(location)
df['date'] = pd.to_datetime(df.date, format='%d-%m-%Y')
# now it is right
df['Day'] = df['date'].dt.day
df['Month'] = df['date'].dt.month

and a simple forecast for 30 days:

from autots import AutoTS
model = AutoTS(forecast_length=30, frequency='infer',
               ensemble=None, model_list='superfast',
               max_generations=5)
model = model.fit(df, date_col='date', value_col='traffic', id_col=None)

# Print the details of the best model
print(model)

prediction = model.predict()
# point forecasts dataframe
forecasts_df = prediction.forecast

[nsankar]

@winedarksea Thanks for the guidance. It works.