make_future_dataframe

Make dataframe with future dates for forecasting.

Implements a procedure for forecasting time series data based on
an additive model where non-linear trends are fit with yearly, weekly, and
daily seasonality, plus holiday effects. It works best with time series
that have strong seasonal effects and several seasons of historical data.
Prophet is robust to missing data and shifts in the trend, and typically
handles outliers well.

Cuong Duong

prophet

Automatic Forecasting Procedure

Sean Taylor

Ben Letham

make_future_dataframe function

<dl><dt>m</dt>
<dd>Prophet model object.</dd>
<dt>periods</dt>
<dd>Int number of periods to forecast forward.</dd>
<dt>freq</dt>
<dd>'day', 'week', 'month', 'quarter', 'year', 1(1 sec), 60(1 minute) or 3600(1 hour).</dd>
<dt>include_history</dt>
<dd>Boolean to include the historical dates in the data
frame for predictions.</dd></dl>

Arguments

Make dataframe with future dates for forecasting. — make_future_dataframe

<dl>

<dt>m</dt>
<dd>Prophet model object.</dd>


<dt>periods</dt>
<dd>Int number of periods to forecast forward.</dd>


<dt>freq</dt>
<dd>'day', 'week', 'month', 'quarter', 'year', 1(1 sec), 60(1 minute) or 3600(1 hour).</dd>


<dt>include_history</dt>
<dd>Boolean to include the historical dates in the data
frame for predictions.</dd>

</dl>

make_future_dataframe: Make dataframe with future dates for forecasting.

Description

Usage

Value

Arguments