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Hi kumari,I think for categorization purpose better option is naive bayes
algorithm.
Regards,Divyang Shah
On Saturday, 16 January 2016 9:38 PM, Kumari Shalini
<[email protected]> wrote:
My goal is just to classify data according to category. I have category , and
then I have to classify data which I have in my database to which category data
belongs.
--Kumari Shalini
On Sat, Jan 16, 2016 at 3:12 AM, Matthew Taylor <[email protected]> wrote:
Kumari,
You have to think about how you can transform your data into temporal data.
HTML data is spatial in nature. Are you going to be polling for HTML documents
over time? Are there any stats you can collect about the documents over time
that change significantly?
A better question... what exactly is your goal?
Regards,
---------Matt TaylorOS Community Flag-BearerNumenta
On Fri, Jan 15, 2016 at 11:45 AM, Kumari Shalini <[email protected]>
wrote:
Hi,
I have some questions to ask? How will I get to know the data type like scalar
and how to know the dimensions of data?
My data is a raw html data and my data is fully present at a point of time , so
how to use standard classification method?
--Kumari Shalini
On Tue, Jan 12, 2016 at 1:19 AM, Chandan Maruthi <[email protected]>
wrote:
Kumari,I think your problem/usecase here is that of classification. Lookup
classification methods in data science/AI to help your case.You would use Nupic
if your data has a temporal [time dependent] pattern in it, For example notes
of a song, temperature during a day etc.
If you pattern is not temporal. and is represented fully by the data present
at a point of time then you can use standard classification methods.
RegardsChandan
RegardsChandan
On Mon, Jan 11, 2016 at 7:45 AM, Kumari Shalini <[email protected]> wrote:
Hi,
I have gone through the links and video and understand what is numenta and what
is the use. So, I want to know to how to write code for encoding data. For
example- I have huge amount of data and a category to which the data
belongs.Now, I have some some more data coming and now I have to predict to
which category the data belongs, Then how to do this? Please help me in
understanding .
What Im understanding is I have to convert the category and data to SDR and
then convert the coming data to SDR then I have to match with all the category
SDR, to which itmatches more the data belongs to that category. Am i right? If
I'm not correct then please correct me.
Now, I want to know Is there any documentation to how to write code to encode
data.I have to write code in python.
Please help me.
--Kumari Shalini
--
RegardsChandan Maruthi
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