Save Your Spot! Register Now >> Bigdata Hadoop Live Webinar By LFG Introduction
Big Data and Hadoop Certification course is designed to prepare you for your
next assignment in the world of Big Data. Hadoop is the market leader among Big
Data Technologies and it is an important skill for every pr
Thanks for the pointers. I was able to get the active columns from the spatial
pooler by taking:
sp = model._getSPRegion.getSelf()
activeColumns = sp._spatialPoolerOutput
---
[Visit
Topic](https://discourse.numenta.org/t/htm-prediction-model-with-good-accuracy-but-low-activation-l
[quote="jclevesque, post:1, topic:3276"]
Thing is, when I try to look at activated columns of my temporal memory
[/quote]
The active columns are defined by the Spatial Pooler, not the Temporal Memory.
The TM activates cells within active columns. To get the active columns from
the follow the i
I am using an HTMPrediction model on a sequence of inputs, predicting the next
steps in the sequence. I am trying to establish a correlation between the
activation of my columns and the signal I am modelling (or rather a high level
version of the signal I am modelling). My use case is rather s
Save Your Spot! Register Now >> Bigdata Hadoop Live Webinar By LFG Introduction
Big Data and Hadoop Certification course is designed to prepare you for your
next assignment in the world of Big Data. Hadoop is the market leader among Big
Data Technologies and it is an important skill for every pr
Fri, 12 Jan 2018 06:00:50
This message is a "probe" for your subscription to the FMPRO-L list. You
do not need to take any action to remain subscribed to the list. In
particular, you should not reply to this message. Simply discard it now,
or read on if you would like to know more
