On 19/07/2020 16:11, Dino wrote:
> On 7/19/2020 4:54 PM, duncan smith wrote:
>>
>> It depends on what you expect the result to be. There's nothing
>> inherently wrong with transforming variables before using least squares
>> fitting. Whether it gives you the "best" estimates for the coefficients
>>
On 7/19/20 10:54 AM, duncan smith wrote:
> On 19/07/2020 11:19, Dino wrote:
>> Hi, I am looking at someone else's code trying to understand their use
>> of numpy.polyfit.
>>
>> My understanding was that you can use it to fit polynomials, but
>> apparently, the original author has used it for logari
On 19/07/2020 11:19, Dino wrote:
>
> Hi, I am looking at someone else's code trying to understand their use
> of numpy.polyfit.
>
> My understanding was that you can use it to fit polynomials, but
> apparently, the original author has used it for logarithmic and
> exponential curves as well this
