[scikit-learn] Fitting Lognormal Distribution

[Startup Hire]

Hi,

Any one call help in above case?

Regards,
Sanant

On Mon, May 30, 2016 at 4:48 PM, Startup Hire <blrstartuphire at gmail.com>
wrote:

> Thanks to all the replies.
>
> I was able to write the intial code
>
> - Refer the charts below.. After the second red point, can I say that the
> values of "BLUE" curve will always be higher than "GREEN" curve?
>
>    -  The ultimate objective is to find out when the values of blue curve
>    starts exceeding the values of green curve.
>
>
>
>
>
>  Regards, Sanant[image: Inline image 1]
>
> On Fri, May 27, 2016 at 10:29 PM, Jacob Schreiber <jmschreiber91 at gmail.com
> > wrote:
>
>> 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
>>>>>>>
>>>>>>> _______________________________________________
>>>>>>> scikit-learn mailing list
>>>>>>> scikit-learn at python.org
>>>>>>> https://mail.python.org/mailman/listinfo/scikit-learn
>>>>>>>
>>>>>>>
>>>>>>
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>>>>>>
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>>>>
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