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Update linfit.jl for readibility #37

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Dec 4, 2024
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Update linfit.jl for readibility #37

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5 changes: 4 additions & 1 deletion src/linfit.jl
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Expand Up @@ -141,13 +141,16 @@ ExpFit(x::AbstractVector{T}, y::AbstractVector{T}) where {T<:Number} = ExpFit{T}
# Generic interface for curve fitting.
The same function `curve_fit` can be used to fit the data depending on fit type,
shich is specified in the first parameter. This function returns an object that
which is specified in the first parameter. This function returns an object that
can be used to estimate the value of the fitting model using function `apply_fit`.
## A few examples:
* `f = curve_fit(LinearFit, x, y)`
* `f = curve_fit(Polynomial, x, y, n)`
Other types of fit include: LogFit, PowerFit, ExpFit, LinearKingFit, KingFit, RationalPoly. See the documentation for details.
"""
curve_fit(::Type{T}, x, y) where {T<:AbstractLeastSquares} = T(x, y)
curve_fit(::Type{T}, x, y, args...) where {T<:AbstractLeastSquares} = T(x, y, args...)
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