he easiest way to accomplish what I need is to serialize
the structmaps as hashmaps when writing them, and then deserialize the
hashmap into a new structmap when reading them.
On Jan 26, 9:01 am, Stuart Sierra wrote:
> On Jan 26, 11:40 am, jleehurt wrote:
>
> > Thanks Anders.
ct db fname object))
> (catch Exception e
> (println (format "Caught exception when reading file %s:\n%s" fname
> e)
>
> When writing it first writes to a temporary file and then renames so
> that if the power cuts in the middle that you won't be left with
Hi all,
I am writing a distributed program using Clojure. I am trying to write
some code to pass structs around to different nodes on the network by
serializing and deserializing strings. I do not fully understand how
to use *print-dup* and read to do this.
The last line of the following gives th
m.
>
> This may be another way (I didn't test it) to force the realization of
> your matrix:
>
> (defn matrixMultiply [matrixA matrixB]
> (doall
> (map
> (fn [row]
> (apply map
> (fn [& column]
> (apply + (map * row column)
0.5))
> user> (time (main 100))
> "Elapsed time: 8314.617 msecs"
> ((0.5 50.5))
> user> (time (main 1000))
> ; Evaluation aborted. ;; Actually not stack overflow, but HEAP
> overflow (it took a while though)
> user>
>
> Thanks,
> Dimiter "m
e two other function calls
> getAdaptedWeightVector
> computeActualResponse
>
> Are these recursive as well?
>
> On Sun, Apr 19, 2009 at 11:26 PM, jleehurt wrote:
>
> > Hi all, I have the following code that trains a perceptron with the
> > given inputs and corresponding desired inputs
Nolen wrote:
> You have two other function calls
> getAdaptedWeightVector
> computeActualResponse
>
> Are these recursive as well?
>
> On Sun, Apr 19, 2009 at 11:26 PM, jleehurt wrote:
>
> > Hi all, I have the following code that trains a perceptron with the
&g
Hi all, I have the following code that trains a perceptron with the
given inputs and corresponding desired inputs. For input/output
vectors, when the size gets to about 2000, I am getting a
java.lang.StackOverflowError in the following function:
(defn trainPerceptron [beginningWeightVector allInp
