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39 lines
1.4 KiB
R
39 lines
1.4 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/prophet.R
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\name{add_regressor}
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\alias{add_regressor}
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\title{Add an additional regressor to be used for fitting and predicting.}
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\usage{
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add_regressor(m, name, prior.scale = NULL, standardize = "auto",
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mode = NULL)
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}
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\arguments{
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\item{m}{Prophet object.}
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\item{name}{String name of the regressor}
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\item{prior.scale}{Float scale for the normal prior. If not provided,
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holidays.prior.scale will be used.}
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\item{standardize}{Bool, specify whether this regressor will be standardized
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prior to fitting. Can be 'auto' (standardize if not binary), True, or
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False.}
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\item{mode}{Optional, 'additive' or 'multiplicative'. Defaults to
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m$seasonality.mode.}
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}
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\value{
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The prophet model with the regressor added.
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}
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\description{
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The dataframe passed to `fit` and `predict` will have a column with the
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specified name to be used as a regressor. When standardize='auto', the
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regressor will be standardized unless it is binary. The regression
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coefficient is given a prior with the specified scale parameter.
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Decreasing the prior scale will add additional regularization. If no
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prior scale is provided, holidays.prior.scale will be used.
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Mode can be specified as either 'additive' or 'multiplicative'. If not
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specified, m$seasonality.mode will be used. 'additive' means the effect of
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the regressor will be added to the trend, 'multiplicative' means it will
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multiply the trend.
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}
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