Hello NuPIC,

Can you share your thoughts on the anomaly scores that HTM Engine is
reporting on my self-generated datasets?

I'd like to experiment with different model parameters, but as far as I
could see I can only offer the name, mininum value and maximum value.

I'm very much interested in experimenting with the anomaly detection
functionality, so I really hope someone can help me.

In my set up I am using the skeleton-htm-engine-app from within a vagrant
box. I am offering all of my data through the API of the HTM Engine. Since
I am using the most basic implementation of the HTM Engine I doubt that
making a public repo would help. If there are other factors that influence
the output of HTM Engine, please let me know.



Met vriendelijke groet,

Casper Rooker
[email protected]

On Tue, Dec 1, 2015 at 4:04 PM, Cas <[email protected]> wrote:

> Hi Fergal,
>
> thanks for your reply. I assume you mean the contents of the model
> parameters that are required for anomaly detection by HTM Engine? For these
> datasets all I did was specify the name, minimum value and maximum value of
> the dataset. The rest of the model parameters are filled in by HTM Engine
> itself, as far as I know.
>
> For all the given datasets I specified 0 as minimum and 100 as maximum.
>
> I use my own java app to generate data and convert and send datasets to
> the HTM Engine.
>
> For my setup I am using the skeleton htmengine app running on a linux
> vagrant box.
>
> The dates you see in the datasets are formatted so I can use the NuPIC
> visualisation project.
>
> I could try to dig up the model parameters that are stored in the HTM
> Engine cache on the Vagrant Box, but I'll have to find out how to get a
> clean export of it. I'll let you know when I have it.
>
> Met vriendelijke groet,
>
> Casper Rooker
> [email protected]
>
> On Tue, Dec 1, 2015 at 3:36 PM, Fergal Byrne <[email protected]>
> wrote:
>
>> Hi Casper,
>>
>> Please provide your parameter description, it's impossible to guess
>> what's going on just from the output. A github repo would be the best way
>> to share your setup.
>>
>> On Tue, Dec 1, 2015 at 2:29 PM, Cas <[email protected]> wrote:
>>
>>> P.S.: To clarify my problem, here is another dataset of a sine wave that
>>> HTM Engine is also reporting seemingly random anomaly scores on. I've
>>> included a picture of a piece of the data near the end of the file.
>>>
>>> Met vriendelijke groet,
>>>
>>> Casper Rooker
>>> [email protected]
>>>
>>> On Tue, Dec 1, 2015 at 1:03 PM, Cas <[email protected]> wrote:
>>>
>>>> Hello NuPIC,
>>>>
>>>> I'm using the HTM Engine to experiment with a self-generated pattern. I
>>>> have deployed it on several datasets from the NAB datasets with promising
>>>> results.
>>>>
>>>> I then offered a very simple dataset that I have generated myself, but
>>>> the anomaly scores are completely random across the entire dataset. I have
>>>> attached one dataset from the NuPIC anomaly benchmark with anomaly scores
>>>> and one dataset that I have generated myself along with anomaly scores. I'd
>>>> like to know your thoughts on what is making the HTM Engine report these
>>>> anomaly scores that are basically useless.
>>>>
>>>> With regards,
>>>>
>>>> Casper Rooker
>>>> [email protected]
>>>>
>>>
>>>
>>
>>
>> --
>>
>> Fergal Byrne, Brenter IT @fergbyrne
>>
>> http://inbits.com - Better Living through Thoughtful Technology
>> http://ie.linkedin.com/in/fergbyrne/ - https://github.com/fergalbyrne
>>
>> Founder of Clortex: HTM in Clojure -
>> https://github.com/nupic-community/clortex
>> Co-creator @OccupyStartups Time-Bombed Open License
>> http://occupystartups.me
>>
>> Author, Real Machine Intelligence with Clortex and NuPIC
>> Read for free or buy the book at https://leanpub.com/realsmartmachines
>>
>> e:[email protected] t:+353 83 4214179
>> Join the quest for Machine Intelligence at http://numenta.org
>> Formerly of Adnet [email protected] http://www.adnet.ie
>>
>
>

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