[scikit-learn] Fitting Lognormal Distribution

[Jacob Schreiber]

Another option is to use pomegranate
<https://github.com/jmschrei/pomegranate> which has probability
distribution fitting with the same API as scikit-learn. You can see a tutorials
here
<https://github.com/jmschrei/pomegranate/blob/master/tutorials/Tutorial_1_Distributions.ipynb>
and
it includes LogNormalDistribution, in addition to a lot of others. All
distributions also have plotting methods.

On Fri, May 27, 2016 at 6:53 AM, Warren Weckesser <
warren.weckesser at gmail.com> wrote:

>
>
> On Fri, May 27, 2016 at 2:08 AM, Startup Hire <blrstartuphire at gmail.com>
> wrote:
>
>> Hi,
>>
>> @ Warren: I was thinking of using federico method as its quite simple. I
>> know the mu and sigma of log(values) and I need to plot a normal
>> distribution based on that. Anything inaccurate in doing that?
>>
>>
>
> Getting mu and sigma from log(values) is fine.  That's one of the three
> methods (the one labeled "Explicit formula") that I included in this
> answer:
> http://stackoverflow.com/questions/15630647/fitting-lognormal-distribution-using-scipy-vs-matlab/15632937#15632937
>
> Warren
>
>
>
>> @ Sebastian: Thanks for your suggestion. I got to know more about
>> powerlaw distributions.  But, I dont think my values have a long tail. do
>> you think it is still relevant? What are the potential applications of the
>> same?
>>
>> Thanks & Regards,
>> Sanant
>>
>> On Thu, May 26, 2016 at 7:50 PM, Sebastian Benthall <sbenthall at gmail.com>
>> wrote:
>>
>>> You may also be interested in the 'powerlaw' Python package, which
>>> detects the tail cutoff.
>>> On May 26, 2016 5:46 AM, "Warren Weckesser" <warren.weckesser at gmail.com>
>>> wrote:
>>>
>>>>
>>>>
>>>> On Thu, May 26, 2016 at 2:08 AM, Startup Hire <blrstartuphire at gmail.com
>>>> > wrote:
>>>>
>>>>> Hi all,
>>>>>
>>>>> Hope you are doing good.
>>>>>
>>>>> I am working on a project where I need to do the following things:
>>>>>
>>>>> 1. I need to fit a lognormal distribution to a set of values [I know
>>>>> its lognormal by a simple XY scatter plot in excel]
>>>>>
>>>>>
>>>>
>>>> The probability distributions in scipy have a fit() method, and
>>>> scipy.stats.lognorm implements the log-normal distribution (
>>>> http://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.lognorm.html)
>>>> so you can use scipy.lognorm.fit().  See, for example,
>>>> http://stackoverflow.com/questions/26406056/a-lognormal-distribution-in-python
>>>> or http://stackoverflow.com/
>>>> /questions/15630647/fitting-lognormal-distribution-using-scipy-vs-matlab
>>>>
>>>> Warren
>>>>
>>>>
>>>>
>>>>> 2. I need to find the intersection of the lognormal distribution so
>>>>> that I can decide cut-off values based on that.
>>>>>
>>>>>
>>>>> Can you guide me on (1) and (2) can be achieved in python?
>>>>>
>>>>> Regards,
>>>>> Sanant
>>>>>
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>>>>>
>>>>>
>>>>
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