Python predict_for Examples

Example #1

File: update_predictions.py Project: DarthKipsu/baana-predictions

def tomorrows_prediction_with_past_week(forecast):
    past_actual = read_actual()
    forecast[3] = float(past_actual[len(past_actual)-6])
    day = (datetime.today()+timedelta(1)).weekday()
    return lc.predict_for(forecast, day)

Example #2

def tomorrows_prediction_with_past_week(forecast):
    past_actual = read_actual()
    forecast[3] = float(past_actual[len(past_actual) - 6])
    day = (datetime.today() + timedelta(1)).weekday()
    return lc.predict_for(forecast, day)

Example #3

File: update_predictions.py Project: DarthKipsu/baana-predictions

def tomorrows_prediction():
    forecast = fetch.load_tomorrows_forecast(os.environ.get('FMIAPIKEY'))
    print('fmi apikey:', os.environ.get('FMIAPIKEY'))
    day = (datetime.today()+timedelta(1)).weekday()
    return lc.predict_for(forecast, day)

Example #4

def tomorrows_prediction():
    forecast = fetch.load_tomorrows_forecast(os.environ.get('FMIAPIKEY'))
    print('fmi apikey:', os.environ.get('FMIAPIKEY'))
    day = (datetime.today() + timedelta(1)).weekday()
    return lc.predict_for(forecast, day)