This link seems to work: http://www.cs.toronto.edu/~mackay/itprnn/book.pdf
Skip Skip Cave Cave Consulting LLC On Tue, Jan 27, 2015 at 3:33 AM, Ryan <[email protected]> wrote: > Thanks Devon. > > FYI I'm learning J by implementing the exercises in > > Information theory, inference, and learning algorithms (Mackay 03) > http://www.inference.phy.cam.ac.uk/mackay/itila/ > > > > On 22 Jan 2015, at 0:37, Devon McCormick wrote: > > Raul's example assumes your data is between 0 and 1, inclusive, so you may >> need to scale it: >> 13 : 'y-<./,y' NB. Subtract the smallest from each >> ] - [: <./ , >> 13 : 'y%>./,y' NB. Divide each by the largest >> ] % [: >./ , >> scale=: (] % [: >./ ,)@(] - [: <./ ,) NB. Combine to scale from 0 to 1 >> >> So, if >> data=: +/~i.10 >> then, doing what Raul showed: >> viewmat ,/0|:,/0 2|:data >:/ square >> >> >> On Wed, Jan 21, 2015 at 1:55 AM, Raul Miller <[email protected]> >> wrote: >> >> It's certainly possible. >>> >>> You didn't give any data, and I do not feel like trying to replicate >>> your original numbers from the image you gave, so I will just use some >>> arbitrary numbers: >>> >>> data=: ?10 10$0 >>> >>> Now, let's say that your squares are 25 pixels on a side. We can form >>> squares like this: >>> >>> $square=: (>./~|i:12)%12 >>> 25 25 >>> >>> That's a bit big for email, so here's a smaller version: >>> >>> 4%~>./~|i:4 >>> 1 1 1 1 1 1 1 1 1 >>> 1 0.75 0.75 0.75 0.75 0.75 0.75 0.75 1 >>> 1 0.75 0.5 0.5 0.5 0.5 0.5 0.75 1 >>> 1 0.75 0.5 0.25 0.25 0.25 0.5 0.75 1 >>> 1 0.75 0.5 0.25 0 0.25 0.5 0.75 1 >>> 1 0.75 0.5 0.25 0.25 0.25 0.5 0.75 1 >>> 1 0.75 0.5 0.5 0.5 0.5 0.5 0.75 1 >>> 1 0.75 0.75 0.75 0.75 0.75 0.75 0.75 1 >>> 1 1 1 1 1 1 1 1 1 >>> >>> (That's basically the same expression, I just moved the division over >>> to the left hand side, and changed the 12 to a 4, so it's 5 by 5. The >>> point isn't the expression so much as the resulting data. It's >>> arranged as a square with values ranging from 0 in the center to 1 at >>> the edge.) >>> >>> Now, we just need to compare this to each of our original values, form >>> them into a square, and pass that on to viewmat: >>> >>> require'viewmat' >>> viewmat ,/0|:,/0 2|:data >:/ square >>> >>> Good enough? >>> >>> Or would an explanation of the steps in any of those expressions help? >>> >>> (You can shave off parts of an expression to see what was passed >>> along, and you can shrink the data so you can inspect those >>> intermediate results easier. You can also use J's trace facility >>> and/or dissect. You can also of course read up on things in the >>> dictionary. But sometimes, especially after you've tried some of those >>> other approaches, it can be good to have someone else give their >>> perspective - not so much because it's not simple but because having >>> other people's words can help you think about things from a slightly >>> different perspective.) >>> >>> Thanks, >>> >>> -- >>> Raul >>> >>> On Tue, Jan 20, 2015 at 11:48 PM, Ryan <[email protected]> wrote: >>> >>>> I have a matrix of probabilities that I'd like to visualise similar to >>>> >>> this: >>> >>>> >>>> http://emotion.inrialpes.fr/people/synnaeve/phdthesis/ >>> images/battleship_board_3_1miss.png >>> >>>> where the bigger the probability, the bigger the square. The closest >>>> >>> I've >>> >>>> come is a simple >>>> density plot >>>> >>>> mymat=? 27 27$0 >>>> load 'graphics/plot viewmat' >>>> 'density' plot mymatrix >>>> NB. or >>>> viewmat mymatrix >>>> >>>> I've looked through plot's source code but don't see an option for >>>> >>> something >>> >>>> like this. >>>> >>>> Does someone know if it's possible to do? >>>> >>>> thanks for any help, >>>> Ryan >>>> >>>> >>>> >>>> The information in this e-mail is intended only for the person to whom >>>> >>> it is >>> >>>> addressed. If you believe this e-mail was sent to you in error and the >>>> e-mail >>>> contains patient information, please contact the Partners Compliance >>>> HelpLine at >>>> http://www.partners.org/complianceline . If the e-mail was sent to you >>>> >>> in >>> >>>> error >>>> but does not contain patient information, please contact the sender and >>>> properly >>>> dispose of the e-mail. >>>> >>>> ---------------------------------------------------------------------- >>>> For information about J forums see http://www.jsoftware.com/forums.htm >>>> >>> ---------------------------------------------------------------------- >>> For information about J forums see http://www.jsoftware.com/forums.htm >>> >>> >> >> >> -- >> Devon McCormick, CFA >> ---------------------------------------------------------------------- >> For information about J forums see http://www.jsoftware.com/forums.htm >> > ---------------------------------------------------------------------- > For information about J forums see http://www.jsoftware.com/forums.htm > ---------------------------------------------------------------------- For information about J forums see http://www.jsoftware.com/forums.htm
