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can we use NAB for both batch data & streaming data or only for streaming
data.for ex. can we use it for batch data with date & no. of pageviews on site
Thanks & Regards,Divyang Shah
On Tuesday, 19 January 2016 9:27 AM, Weiru Zeng <[email protected]> wrote:
Hi Chetan,
As you said, I remove the 'clipInput' entries from the four sections, run the
code. there is another error:
TypeError: __init__() takes at least 3 arguments (2 given)
ps: There two sections named timestamp_dayOfWeek in the
params_coordinate_pre.py which I upload last time, I delete the inccurate one.
- Weiru
------------------ Original ------------------From: "Chetan
Surpur";<[email protected]>;Date: Tue, Jan 19, 2016 05:05 AMTo: "Weiru
Zeng"<[email protected]>; Subject: Re: Help for Running warms with coodinate
included .csv file
Hi Weiru,
Remove the `clipInput` entries from the following sections in
params_coordinate_pre.py:
temperaturevector_classifierInputtimestamp_dayOfWeek
- Chetan
On Jan 17, 2016, at 6:44 PM, Weiru Zeng <[email protected]> wrote:
Hi Chetan:
I'm sorry,I send a wrong e-mail just now.
I study the code in the https://github.com/numenta/nupic.geospatial. And I want
to add the temperature, refer to the
https://github.com/numenta/nupic/tree/master/examples/opf/clients/hotgym/anomaly/one_gym,
I writed the code attached in the e-mail. This code is make a
TemporalMultiStep type inference, and the input is timestamp, coordinate,
temperature, I want to predict the coordinate and make anormally score for the
coordinate. Running the code, there is a error in the params_coordinate_pre.py
like:
TypeError: __init__() got an unexpected keyword argument 'clipInput'.
I check the params_coordinate_pre.py for a long time, but can't solve the
problem, so could you please help me.
The parameters is hard to set without the swarm : ( . Hope for a better swarm.
Thanks for your help!
Weiru Zeng
------------------ Original ------------------From: "Chetan
Surpur";<[email protected]>;Date: Tue, Jan 12, 2016 03:53 AMTo: "Weiru
Zeng"<[email protected]>; Subject: Re: Help for Running warms with coodinate
included .csv file
Hi Weiru,
Unfortunately, it is not possible at this time to swarm over CoordinateEncoder
parameters. So far we've been manually creating the parameters when we want to
use CoordinateEncoder.
It looks like you're trying to predict the coordinate (since you said "the
inference field is coordinate"). Do you think temperature would help with that,
or is it possible to predict the next coordinate given just the history of
coordinates so far? If so, then you can start with the model parameters in the
nupic.geospatial example [1], and tweak for your application.
[1] https://github.com/numenta/nupic.geospatial
- Chetan
On Jan 9, 2016, at 2:02 AM, Weiru Zeng <[email protected]> wrote:
Hi everyone:
I have some data which contain the coordinate, and I want to use the swarms to
get a good model_params.py file. But the type used to feed the swarms is not
include the coodinate type. It just contains the type below: datetime, int,
float, bool, string, list, for the list type, the official document said that
it is third-party - not support.
I have received a model_params.py which is configured artficial from a friend.
But the parameters in the file is rough, it's hard to adapt the requirment.
So I want to know how can I use the swarms handle the coordinate type data to
make the opf use the coordinateEncoder to encode. or what's you way to deal
with the coordinate included file by the opf. I want to handle the x,y,z as the
coordinate, but not three independent number.
My data is like:
id,time,x,y,z,temperature
38,2015/11/5 18:14:59,184,-184,-5,66
38,2015/11/5 18:15:00,184,-184,-5,66
38,2015/11/5 18:15:01,184,-184,-6,66
38,2015/11/5 18:15:01,184,-184,-6,66
38,2015/11/5 18:15:01,184,-184,-5,66
38,2015/11/5 18:15:03,184,-184,-6,66
38,2015/11/5 18:15:03,184,-184,-6,66
38,2015/11/5 18:15:04,184,-184,-5,66
38,2015/11/5 18:15:05,184,-184,-6,66
38,2015/11/5 18:15:06,184,-184,-5,66
38,2015/11/5 18:15:06,184,-184,-6,66
38,2015/11/5 18:15:07,184,-184,-5,66
The input columns is time, coordinate(x,y,z), temperature. The inferencefield
is coordinate.
Thanks!
Weiru Zeng
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