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
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>

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