Fcst.predict does not accept X_df with dynamic exogenous variables about mlforecast HOT 2 CLOSED

Interestingly, changing the freq parameter when fitting the fcst object to 'W-MON' may have solved the issue! This runs without issue:

from sklearn.ensemble import RandomForestRegressor

train = data.loc[0:130]
test = data.loc[131:]

models = RandomForestRegressor(random_state=0, n_estimators = 100)

fcst = MLForecast(models=models, freq = 'W-MON')

fcst.fit(train, fitted = True, static_features=[])
preds = fcst.predict(h = 24, X_df = test[['unique_id', 'ds', 'holiday']]) 

from mlforecast.

Hey @melissafeeney, thanks for using mlforecast. We use the freq argument to build the future dates, so it must match the frequency of your series ('W-MON' in this case is the correct one). We're glad the debugging methods helped you figure out the problem.

from mlforecast.