Re: community interest in machine learning (?)

[Timothy Washington]

Heyya,

So I got to playing with the core encog-java system. This thread is getting
a bit long, so I put my thoughts into a new thread here: Playing with
clojure-encog, Machine-Learning
wrapper
 .

But the thrust is that I need to know how I can give the encog neural net a
list of tick data that has second or sub-second intervals? Have a look. Any
insights are appreciated.


Thanks :)

Tim Washington
Interruptsoftware.ca
416.843.9060



On Sat, Aug 4, 2012 at 7:15 PM, Jim - FooBar(); wrote:

>  No worries...
>
>  looking at the examples.clj in 0.4.1-SNAPSHOT, it is likely it won't even
> compile which is good evidence of how much your first email made me jump!!!
> If you want to run the examples just copy-paste the entire code in a
> namespace of your own while commenting out the travelling-salesman-problem
> example. that should sort any compilation issues...
>
> Jim
>
>
> On 04/08/12 23:35, Timothy Washington wrote:
>
> Ok, this makes sense.
>
>  Thanks very much for your insights.
>
>
> Tim Washington
> Interruptsoftware.ca
> 416.843.9060
>
>
>
> On Sat, Aug 4, 2012 at 6:21 PM, Jim - FooBar(); wrote:
>
>>  On 04/08/12 23:08, Timothy Washington wrote:
>>
>> And one more thing. I'm looking at the 
>> TemporalMLDataSet.javasource,
>>  and I keep on seeing references to a 'windowSize'. What is a
>> *inputWindowSize* and a *predictWindowSize* ?
>>
>>
>>
>>  I suppose your window-size is how far back from the present you want to
>> look each time...it needs to be compatible with your input layer...a
>> window-size of 30 with 5 indicators would give you 150 (3*50=150) input
>> neurons as confirmed in this post:
>>
>> http://www.heatonresearch.com/node/2124
>>
>>
>> Jim
>>
>>
>>
>>
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>> your first post.
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>>
>
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Re: community interest in machine learning (?)

[Jim - FooBar();]

No worries...

 looking at the examples.clj in 0.4.1-SNAPSHOT, it is likely it won't 
even compile which is good evidence of how much your first email made me 
jump!!! If you want to run the examples just copy-paste the entire code 
in a namespace of your own while commenting out the 
travelling-salesman-problem  example. that should sort any compilation 
issues...


Jim

On 04/08/12 23:35, Timothy Washington wrote:

Ok, this makes sense.

Thanks very much for your insights.


Tim Washington
Interruptsoftware.ca 
416.843.9060



On Sat, Aug 4, 2012 at 6:21 PM, Jim - FooBar(); > wrote:


On 04/08/12 23:08, Timothy Washington wrote:

And one more thing. I'm looking at the TemporalMLDataSet.java


source, and I keep on seeing references to a 'windowSize'. What
is a */inputWindowSize/* and a */predictWindowSize/* ? 



I suppose your window-size is how far back from the present you
want to look each time...it needs to be compatible with your input
layer...a window-size of 30 with 5 indicators would give you 150
(3*50=150) input neurons as confirmed in this post:

http://www.heatonresearch.com/node/2124


Jim




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Re: community interest in machine learning (?)

[Timothy Washington]

Ok, this makes sense.

Thanks very much for your insights.


Tim Washington
Interruptsoftware.ca
416.843.9060



On Sat, Aug 4, 2012 at 6:21 PM, Jim - FooBar(); wrote:

>  On 04/08/12 23:08, Timothy Washington wrote:
>
> And one more thing. I'm looking at the 
> TemporalMLDataSet.javasource,
>  and I keep on seeing references to a 'windowSize'. What is a
> *inputWindowSize* and a *predictWindowSize* ?
>
>
>
> I suppose your window-size is how far back from the present you want to
> look each time...it needs to be compatible with your input layer...a
> window-size of 30 with 5 indicators would give you 150 (3*50=150) input
> neurons as confirmed in this post:
>
> http://www.heatonresearch.com/node/2124
>
>
> Jim
>
>
>
>
>
> --
> You received this message because you are subscribed to the Google
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> Note that posts from new members are moderated - please be patient with
> your first post.
> To unsubscribe from this group, send email to
> clojure+unsubscr...@googlegroups.com
> For more options, visit this group at
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>

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Re: community interest in machine learning (?)

[Jim - FooBar();]

On 04/08/12 23:08, Timothy Washington wrote:
And one more thing. I'm looking at the TemporalMLDataSet.java 
 
source, and I keep on seeing references to a 'windowSize'. What is a 
*/inputWindowSize/* and a */predictWindowSize/* ? 



I suppose your window-size is how far back from the present you want to 
look each time...it needs to be compatible with your input layer...a 
window-size of 30 with 5 indicators would give you 150 (3*50=150) input 
neurons as confirmed in this post:


http://www.heatonresearch.com/node/2124


Jim




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Re: community interest in machine learning (?)

[Timothy Washington]

Ah, it looks like I have the right jar now.

And one more thing. I'm looking at the
TemporalMLDataSet.javasource,
and I keep on seeing references to a 'windowSize'. What is a
*inputWindowSize* and a *predictWindowSize* ?


Thanks

Tim Washington
Interruptsoftware.ca
416.843.9060



On Sat, Aug 4, 2012 at 5:59 PM, Jim - FooBar(); wrote:

>  On 04/08/12 22:47, Timothy Washington wrote:
>
> Thanks for looking into these things. I tried removing clojure-encog from
> lib/ and .m2/ . But '*lein deps*' still pulls in a jar without the
> normalization.clj file. Do I need an updated [clojure-encog
> "0.4.x-SNAPSHOT"]?
>
>
> aaa sorry! yes you now need 0.4.1-SNAPSHOT...
>
>
> As for the structure of the tick data, I used clojure-csv to to pull that
> data from this CSV 
> file
>  (you'll
> have to download as it's large). So it's easy for me to convert those
> strings to doubles, datetimes, etc.
>
>
> cool! i think read-string should do it anyway (at least for numbers)
>
>
> This helps a great deal
>
>
> that is good to know... cheers!
>
> Jim
>
>
>
>
>  --
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Re: community interest in machine learning (?)

[Jim - FooBar();]

On 04/08/12 22:47, Timothy Washington wrote:
Thanks for looking into these things. I tried removing clojure-encog 
from lib/ and .m2/ . But '/lein deps/' still pulls in a jar without 
the normalization.clj file. Do I need an updated 
[clojure-encog"0.4.x-SNAPSHOT"]? 


aaa sorry! yes you now need 0.4.1-SNAPSHOT...

As for the structure of the tick data, I used clojure-csv to to pull 
that data from this CSV file 
 (you'll 
have to download as it's large). So it's easy for me to convert those 
strings to doubles, datetimes, etc.


cool! i think read-string should do it anyway (at least for numbers)


This helps a great deal


that is good to know... cheers!

Jim




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Re: community interest in machine learning (?)

[Timothy Washington]

Hey Jim,

Thanks for looking into these things. I tried removing clojure-encog from
lib/ and .m2/ . But '*lein deps*' still pulls in a jar without the
normalization.clj file. Do I need an updated [clojure-encog "0.4.x-SNAPSHOT"
]?

Also, I'll take a peek at the source for 'org.encog.ml.data.temporal.
TemporalMLDataSet'. As for the structure of the tick data, I used
clojure-csv to to pull that data from this CSV
file
(you'll
have to download as it's large). So it's easy for me to convert those
strings to doubles, datetimes, etc.


This helps a great deal

Cheers

Tim Washington
Interruptsoftware.ca
416.843.9060



On Sat, Aug 4, 2012 at 3:19 PM, Jim - FooBar(); wrote:

>  Hmmm, I think it is worth downloading the source for encog 3.1 for java
> and look into: org.encog.ml.data.temporal.TemporalMLDataSet
>
> I think this is what you need to add several columns...unfortunately I've
> not wrapped this yet so you will have to do some interop to get it
> going...I promise you it will be the first thing I look at as soon as I
> find some time...
>
> hope that helps...
>
> Jim
>
>

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Re: community interest in machine learning (?)

[Jim - FooBar();]

Hmmm, I think it is worth downloading the source for encog 3.1 for java 
and look into: org.encog.ml.data.temporal.TemporalMLDataSet


I think this is what you need to add several columns...unfortunately 
I've not wrapped this yet so you will have to do some interop to get it 
going...I promise you it will be the first thing I look at as soon as I 
find some time...


hope that helps...

Jim


On 04/08/12 20:08, Jim - FooBar(); wrote:
I will address your second issue shortly...You say you have a lazy-seq 
of arrays that have 5 strings? why strings?


Jim

On 04/08/12 20:02, Jim - FooBar(); wrote:
Clojars has been updated with a clojure-encog jar containing all the 
namespaces...I'm really sorry I can't believe I hadn't noticed that! 
The code is in complete sync with github at the moment so instead of 
typing 'doc' all the time feel free to have a browser open...I've not 
changed much - I just removed some redundant let bindings and added 
ability to create an empty dataset... I also added a simple k-means 
clustering example. If i understood correctly what you're doing the 
closest example regarding preparing/normalising your data is the 
predict-sunspots example...


Hope that helps... :)

Jim

ps: empirically,  tanh and sigmoid work almost always best...I can 
say the same for the nuygen-widrow randomiser...Also, just so you 
know I'll be renaming clojure-encog to "enclog" for the 0.5 release...



On 04/08/12 19:18, Jim - FooBar(); wrote:
p this is very strange...i'll update clojars within the next 
hour...sorry about this!


Jim

On 04/08/12 18:52, Timothy Washington wrote:

Hey Jim,

So I started playing around with clojure-encog 
, and I'm pretty excited 
about it so far. Again, I'm trying to make a financial series 
predictor. And I'm trying to go through the steps of 1) nomalizing 
/ preparing the data 2) creating a feed-forward neural network 
with back-prop (I'll try sigmoid & gaussian activations). Then I'll 
3) train and 4) run the network.



*A)* The first problem I'm having is a library one. I'm trying to 
normalize the data with the (*prepare* ...) function, but the 
*/normalization/* namespace isn't in */[clojure-encog 
"0.4.0-SNAPSHOT"]/*. Here, we see that the */nnets/* and 
*/training/* namespaces are in the snapshot jar, but not the 
/*normalization*/ namespace. So I don't know how easy it is to 
update the snapshot jar. But in the meantime, I'll see if I can use 
the github version.


webkell@ubuntu:~/Projects/nn$ jar tvf
lib/clojure-encog-0.4.0-20120518.170223-1.jar
72 Fri May 18 17:58:04 PDT 2012 META-INF/MANIFEST.MF
  1961 Fri May 18 17:58:04 PDT 2012
META-INF/maven/clojure-encog/clojure-encog/pom.xml
   111 Fri May 18 17:58:04 PDT 2012
META-INF/maven/clojure-encog/clojure-encog/pom.properties
   584 Fri May 18 17:00:30 PDT 2012 project.clj
*  9839 Fri May 18 17:01:38 PDT 2012 clojure_encog/nnets.clj*
 11532 Fri May 18 17:57:20 PDT 2012 clojure_encog/examples.clj
* 10144 Fri May 18 17:43:58 PDT 2012 clojure_encog/training.clj*
  2177 Mon May 14 21:57:20 PDT 2012 java/NeuralPilot.java
  7574 Wed May 16 20:34:30 PDT 2012 java/PredictSunspotSVM.java
  2338 Mon May 14 21:56:42 PDT 2012 java/LanderSimulator.java
  1794 Fri May 18 16:02:22 PDT 2012 java/XORNEAT.java
  1672 Fri May 18 16:04:14 PDT 2012 java/XORNEAT.class
  1872 Mon May 14 14:53:26 PDT 2012 java/LanderSimulator.class
  1943 Mon May 14 14:53:26 PDT 2012 java/NeuralPilot.class
  7357 Wed May 16 20:37:20 PDT 2012 java/PredictSunspotSVM.class




*B)* The second problem I see is when trying to deal with the input 
data. The example in clojure-encog 
, 
has just an array of doubles. But my input data is slightly 
different in that I'm dealing with a LazySeq of arrays. Each of 
those arrays contain tick data, Time, Ask, Bid, AskVolume and 
BidVolume:


(["01.05.2012 20:00:00.676" "1.32390" "1.32379" "300.00"
"225.00"]
 ["01.05.2012 20:00:00.888" "1.32390" "1.33238" "300.10"
"220.00"]
 ...)



So of course a call to ((*make-data* ...) , fails with the error 
"/clojure.lang.LazySeq cannot be cast to [Double../". So I need to 
figure out 1) a way to get each one of those input data points , 
into an input-layer neuron. I've started to think about that when I 
was dabbling with code 
. 
If you like, I can look into trying to jerry-rig these kinds of 
tick data mappings into ( training/make-data 
 ). 
But I need a better understanding of the concept of a 
Temporalwindow. The other thing is 2) to figure out how to 
transform the time field into data the nn can use. I've been 
spitting the Datetime object out to longs.



Thanks

Tim Washi

Re: community interest in machine learning (?)

[Jim - FooBar();]

I will address your second issue shortly...You say you have a lazy-seq 
of arrays that have 5 strings? why strings?


Jim

On 04/08/12 20:02, Jim - FooBar(); wrote:
Clojars has been updated with a clojure-encog jar containing all the 
namespaces...I'm really sorry I can't believe I hadn't noticed that! 
The code is in complete sync with github at the moment so instead of 
typing 'doc' all the time feel free to have a browser open...I've not 
changed much - I just removed some redundant let bindings and added 
ability to create an empty dataset... I also added a simple k-means 
clustering example. If i understood correctly what you're doing the 
closest example regarding preparing/normalising your data is the 
predict-sunspots example...


Hope that helps... :)

Jim

ps: empirically,  tanh and sigmoid work almost always best...I can say 
the same for the nuygen-widrow randomiser...Also, just so you know 
I'll be renaming clojure-encog to "enclog" for the 0.5 release...



On 04/08/12 19:18, Jim - FooBar(); wrote:
p this is very strange...i'll update clojars within the next 
hour...sorry about this!


Jim

On 04/08/12 18:52, Timothy Washington wrote:

Hey Jim,

So I started playing around with clojure-encog 
, and I'm pretty excited 
about it so far. Again, I'm trying to make a financial series 
predictor. And I'm trying to go through the steps of 1) nomalizing / 
preparing the data 2) creating a feed-forward neural network 
with back-prop (I'll try sigmoid & gaussian activations). Then I'll 
3) train and 4) run the network.



*A)* The first problem I'm having is a library one. I'm trying to 
normalize the data with the (*prepare* ...) function, but the 
*/normalization/* namespace isn't in */[clojure-encog 
"0.4.0-SNAPSHOT"]/*. Here, we see that the */nnets/* and 
*/training/* namespaces are in the snapshot jar, but not the 
/*normalization*/ namespace. So I don't know how easy it is to 
update the snapshot jar. But in the meantime, I'll see if I can use 
the github version.


webkell@ubuntu:~/Projects/nn$ jar tvf
lib/clojure-encog-0.4.0-20120518.170223-1.jar
72 Fri May 18 17:58:04 PDT 2012 META-INF/MANIFEST.MF
  1961 Fri May 18 17:58:04 PDT 2012
META-INF/maven/clojure-encog/clojure-encog/pom.xml
   111 Fri May 18 17:58:04 PDT 2012
META-INF/maven/clojure-encog/clojure-encog/pom.properties
   584 Fri May 18 17:00:30 PDT 2012 project.clj
*  9839 Fri May 18 17:01:38 PDT 2012 clojure_encog/nnets.clj*
 11532 Fri May 18 17:57:20 PDT 2012 clojure_encog/examples.clj
* 10144 Fri May 18 17:43:58 PDT 2012 clojure_encog/training.clj*
  2177 Mon May 14 21:57:20 PDT 2012 java/NeuralPilot.java
  7574 Wed May 16 20:34:30 PDT 2012 java/PredictSunspotSVM.java
  2338 Mon May 14 21:56:42 PDT 2012 java/LanderSimulator.java
  1794 Fri May 18 16:02:22 PDT 2012 java/XORNEAT.java
  1672 Fri May 18 16:04:14 PDT 2012 java/XORNEAT.class
  1872 Mon May 14 14:53:26 PDT 2012 java/LanderSimulator.class
  1943 Mon May 14 14:53:26 PDT 2012 java/NeuralPilot.class
  7357 Wed May 16 20:37:20 PDT 2012 java/PredictSunspotSVM.class




*B)* The second problem I see is when trying to deal with the input 
data. The example in clojure-encog 
, 
has just an array of doubles. But my input data is slightly 
different in that I'm dealing with a LazySeq of arrays. Each of 
those arrays contain tick data, Time, Ask, Bid, AskVolume and 
BidVolume:


(["01.05.2012 20:00:00.676" "1.32390" "1.32379" "300.00"
"225.00"]
 ["01.05.2012 20:00:00.888" "1.32390" "1.33238" "300.10"
"220.00"]
 ...)



So of course a call to ((*make-data* ...) , fails with the error 
"/clojure.lang.LazySeq cannot be cast to [Double../". So I need to 
figure out 1) a way to get each one of those input data points , 
into an input-layer neuron. I've started to think about that when I 
was dabbling with code 
. 
If you like, I can look into trying to jerry-rig these kinds of tick 
data mappings into ( training/make-data 
 ). 
But I need a better understanding of the concept of a 
Temporalwindow. The other thing is 2) to figure out how to transform 
the time field into data the nn can use. I've been spitting the 
Datetime object out to longs.



Thanks

Tim Washington
Interruptsoftware.ca 
416.843.9060



On Sun, Jul 29, 2012 at 11:35 AM, Dimitrios Jim Piliouras 
mailto:jimpil1...@gmail.com>> wrote:


Hi Tim,

According to :

http://www.heatonresearch.com/content/encog-30-article-2-design-goals-overview


encog 3 should have descent support for any temporal
(time-series) based prediction support in particular for
financial predictions...I'm 

Re: community interest in machine learning (?)

[Jim - FooBar();]

Clojars has been updated with a clojure-encog jar containing all the 
namespaces...I'm really sorry I can't believe I hadn't noticed that! The 
code is in complete sync with github at the moment so instead of typing 
'doc' all the time feel free to have a browser open...I've not changed 
much - I just removed some redundant let bindings and added ability to 
create an empty dataset... I also added a simple k-means clustering 
example. If i understood correctly what you're doing the closest example 
regarding preparing/normalising your data is the predict-sunspots example...


Hope that helps... :)

Jim

ps: empirically,  tanh and sigmoid work almost always best...I can say 
the same for the nuygen-widrow randomiser...Also, just so you know I'll 
be renaming clojure-encog to "enclog" for the 0.5 release...



On 04/08/12 19:18, Jim - FooBar(); wrote:
p this is very strange...i'll update clojars within the next 
hour...sorry about this!


Jim

On 04/08/12 18:52, Timothy Washington wrote:

Hey Jim,

So I started playing around with clojure-encog 
, and I'm pretty excited 
about it so far. Again, I'm trying to make a financial series 
predictor. And I'm trying to go through the steps of 1) nomalizing / 
preparing the data 2) creating a feed-forward neural network 
with back-prop (I'll try sigmoid & gaussian activations). Then I'll 
3) train and 4) run the network.



*A)* The first problem I'm having is a library one. I'm trying to 
normalize the data with the (*prepare* ...) function, but the 
*/normalization/* namespace isn't in */[clojure-encog 
"0.4.0-SNAPSHOT"]/*. Here, we see that the */nnets/* and */training/* 
namespaces are in the snapshot jar, but not the /*normalization*/ 
namespace. So I don't know how easy it is to update the snapshot jar. 
But in the meantime, I'll see if I can use the github version.


webkell@ubuntu:~/Projects/nn$ jar tvf
lib/clojure-encog-0.4.0-20120518.170223-1.jar
72 Fri May 18 17:58:04 PDT 2012 META-INF/MANIFEST.MF
  1961 Fri May 18 17:58:04 PDT 2012
META-INF/maven/clojure-encog/clojure-encog/pom.xml
   111 Fri May 18 17:58:04 PDT 2012
META-INF/maven/clojure-encog/clojure-encog/pom.properties
   584 Fri May 18 17:00:30 PDT 2012 project.clj
*  9839 Fri May 18 17:01:38 PDT 2012 clojure_encog/nnets.clj*
 11532 Fri May 18 17:57:20 PDT 2012 clojure_encog/examples.clj
* 10144 Fri May 18 17:43:58 PDT 2012 clojure_encog/training.clj*
  2177 Mon May 14 21:57:20 PDT 2012 java/NeuralPilot.java
  7574 Wed May 16 20:34:30 PDT 2012 java/PredictSunspotSVM.java
  2338 Mon May 14 21:56:42 PDT 2012 java/LanderSimulator.java
  1794 Fri May 18 16:02:22 PDT 2012 java/XORNEAT.java
  1672 Fri May 18 16:04:14 PDT 2012 java/XORNEAT.class
  1872 Mon May 14 14:53:26 PDT 2012 java/LanderSimulator.class
  1943 Mon May 14 14:53:26 PDT 2012 java/NeuralPilot.class
  7357 Wed May 16 20:37:20 PDT 2012 java/PredictSunspotSVM.class




*B)* The second problem I see is when trying to deal with the input 
data. The example in clojure-encog 
, 
has just an array of doubles. But my input data is slightly different 
in that I'm dealing with a LazySeq of arrays. Each of those arrays 
contain tick data, Time, Ask, Bid, AskVolume and BidVolume:


(["01.05.2012 20:00:00.676" "1.32390" "1.32379" "300.00"
"225.00"]
 ["01.05.2012 20:00:00.888" "1.32390" "1.33238" "300.10"
"220.00"]
 ...)



So of course a call to ((*make-data* ...) , fails with the error 
"/clojure.lang.LazySeq cannot be cast to [Double../". So I need to 
figure out 1) a way to get each one of those input data points , into 
an input-layer neuron. I've started to think about that when I was 
dabbling with code 
. If 
you like, I can look into trying to jerry-rig these kinds of tick 
data mappings into ( training/make-data 
 ). 
But I need a better understanding of the concept of a Temporalwindow. 
The other thing is 2) to figure out how to transform the time field 
into data the nn can use. I've been spitting the Datetime object out 
to longs.



Thanks

Tim Washington
Interruptsoftware.ca 
416.843.9060



On Sun, Jul 29, 2012 at 11:35 AM, Dimitrios Jim Piliouras 
mailto:jimpil1...@gmail.com>> wrote:


Hi Tim,

According to :

http://www.heatonresearch.com/content/encog-30-article-2-design-goals-overview


encog 3 should have descent support for any temporal
(time-series) based prediction support in particular for
financial predictions...I'm afraid however that the only example
that I've ported to clojure-encog which uses temporal data is the
sunspot example (SVM not NN).

Also, you shouldn't ha

Re: community interest in machine learning (?)

[Jim - FooBar();]

p this is very strange...i'll update clojars within the next 
hour...sorry about this!


Jim

On 04/08/12 18:52, Timothy Washington wrote:

Hey Jim,

So I started playing around with clojure-encog 
, and I'm pretty excited 
about it so far. Again, I'm trying to make a financial series 
predictor. And I'm trying to go through the steps of 1) nomalizing / 
preparing the data 2) creating a feed-forward neural network 
with back-prop (I'll try sigmoid & gaussian activations). Then I'll 3) 
train and 4) run the network.



*A)* The first problem I'm having is a library one. I'm trying to 
normalize the data with the (*prepare* ...) function, but the 
*/normalization/* namespace isn't in */[clojure-encog 
"0.4.0-SNAPSHOT"]/*. Here, we see that the */nnets/* and */training/* 
namespaces are in the snapshot jar, but not the /*normalization*/ 
namespace. So I don't know how easy it is to update the snapshot jar. 
But in the meantime, I'll see if I can use the github version.


webkell@ubuntu:~/Projects/nn$ jar tvf
lib/clojure-encog-0.4.0-20120518.170223-1.jar
72 Fri May 18 17:58:04 PDT 2012 META-INF/MANIFEST.MF
  1961 Fri May 18 17:58:04 PDT 2012
META-INF/maven/clojure-encog/clojure-encog/pom.xml
   111 Fri May 18 17:58:04 PDT 2012
META-INF/maven/clojure-encog/clojure-encog/pom.properties
   584 Fri May 18 17:00:30 PDT 2012 project.clj
*  9839 Fri May 18 17:01:38 PDT 2012 clojure_encog/nnets.clj*
 11532 Fri May 18 17:57:20 PDT 2012 clojure_encog/examples.clj
* 10144 Fri May 18 17:43:58 PDT 2012 clojure_encog/training.clj*
  2177 Mon May 14 21:57:20 PDT 2012 java/NeuralPilot.java
  7574 Wed May 16 20:34:30 PDT 2012 java/PredictSunspotSVM.java
  2338 Mon May 14 21:56:42 PDT 2012 java/LanderSimulator.java
  1794 Fri May 18 16:02:22 PDT 2012 java/XORNEAT.java
  1672 Fri May 18 16:04:14 PDT 2012 java/XORNEAT.class
  1872 Mon May 14 14:53:26 PDT 2012 java/LanderSimulator.class
  1943 Mon May 14 14:53:26 PDT 2012 java/NeuralPilot.class
  7357 Wed May 16 20:37:20 PDT 2012 java/PredictSunspotSVM.class




*B)* The second problem I see is when trying to deal with the input 
data. The example in clojure-encog 
, 
has just an array of doubles. But my input data is slightly different 
in that I'm dealing with a LazySeq of arrays. Each of those arrays 
contain tick data, Time, Ask, Bid, AskVolume and BidVolume:


(["01.05.2012 20:00:00.676" "1.32390" "1.32379" "300.00"
"225.00"]
 ["01.05.2012 20:00:00.888" "1.32390" "1.33238" "300.10"
"220.00"]
 ...)



So of course a call to ((*make-data* ...) , fails with the error 
"/clojure.lang.LazySeq cannot be cast to [Double../". So I need to 
figure out 1) a way to get each one of those input data points , into 
an input-layer neuron. I've started to think about that when I was 
dabbling with code 
. If 
you like, I can look into trying to jerry-rig these kinds of tick data 
mappings into ( training/make-data 
 ). 
But I need a better understanding of the concept of a Temporalwindow. 
The other thing is 2) to figure out how to transform the time field 
into data the nn can use. I've been spitting the Datetime object out 
to longs.



Thanks

Tim Washington
Interruptsoftware.ca 
416.843.9060



On Sun, Jul 29, 2012 at 11:35 AM, Dimitrios Jim Piliouras 
mailto:jimpil1...@gmail.com>> wrote:


Hi Tim,

According to :

http://www.heatonresearch.com/content/encog-30-article-2-design-goals-overview


encog 3 should have descent support for any temporal (time-series)
based prediction support in particular for financial
predictions...I'm afraid however that the only example that I've
ported to clojure-encog which uses temporal data is the sunspot
example (SVM not NN).

Also, you shouldn't have any problems with the data (most likely
you need to normalize them - I usually find  (-1 1) or (0 1) to
work best.
for an example of how exactly you would do it  look for
"PREDICT-SUNSPOT-SVM"  here:

https://github.com/jimpil/clojure-encog/blob/master/src/clojure_encog/examples.clj


these 2 lines do all the job with regards to your input data:

normalizedSunspots  (prepare  :array-range  nil  nil  :raw-seq  spots  
:ceiling  0.9  :floor  0.1)



train-set ((make-data :temporal-window normalizedSunspots)
window-size 1)


As far as algorimthmic problems go encog has been around for quite
a while...even though I don't necessarily agree with all the
design decisions made along the way I find it is a  rather mature
lib...of course it is written in Java so being large means it is a
bit of a mess!

Re: community interest in machine learning (?)

[Timothy Washington]

Hey Jim,

So I started playing around with
clojure-encog,
and I'm pretty excited about it so far. Again, I'm trying to make a
financial series predictor. And I'm trying to go through the steps of 1)
nomalizing / preparing the data 2) creating a feed-forward neural network
with back-prop (I'll try sigmoid & gaussian activations). Then I'll 3)
train and 4) run the network.


*A)* The first problem I'm having is a library one. I'm trying to normalize
the data with the (*prepare* ...) function, but the
*normalization*namespace isn't in
*[clojure-encog "0.4.0-SNAPSHOT"]*. Here, we see that the *nnets* and *
training* namespaces are in the snapshot jar, but not the
*normalization*namespace. So I don't know how easy it is to update the
snapshot jar. But
in the meantime, I'll see if I can use the github version.

webkell@ubuntu:~/Projects/nn$ jar tvf
lib/clojure-encog-0.4.0-20120518.170223-1.jar
72 Fri May 18 17:58:04 PDT 2012 META-INF/MANIFEST.MF
  1961 Fri May 18 17:58:04 PDT 2012
META-INF/maven/clojure-encog/clojure-encog/pom.xml
   111 Fri May 18 17:58:04 PDT 2012
META-INF/maven/clojure-encog/clojure-encog/pom.properties
   584 Fri May 18 17:00:30 PDT 2012 project.clj
*  9839 Fri May 18 17:01:38 PDT 2012 clojure_encog/nnets.clj*
 11532 Fri May 18 17:57:20 PDT 2012 clojure_encog/examples.clj
* 10144 Fri May 18 17:43:58 PDT 2012 clojure_encog/training.clj*
  2177 Mon May 14 21:57:20 PDT 2012 java/NeuralPilot.java
  7574 Wed May 16 20:34:30 PDT 2012 java/PredictSunspotSVM.java
  2338 Mon May 14 21:56:42 PDT 2012 java/LanderSimulator.java
  1794 Fri May 18 16:02:22 PDT 2012 java/XORNEAT.java
  1672 Fri May 18 16:04:14 PDT 2012 java/XORNEAT.class
  1872 Mon May 14 14:53:26 PDT 2012 java/LanderSimulator.class
  1943 Mon May 14 14:53:26 PDT 2012 java/NeuralPilot.class
  7357 Wed May 16 20:37:20 PDT 2012 java/PredictSunspotSVM.class




*B)* The second problem I see is when trying to deal with the input data.
The example in 
clojure-encog,
has just an array of doubles. But my input data is slightly different in
that I'm dealing with a LazySeq of arrays. Each of those arrays contain
tick data, Time, Ask, Bid, AskVolume and BidVolume:

(["01.05.2012 20:00:00.676" "1.32390" "1.32379" "300.00" "225.00"]
 ["01.05.2012 20:00:00.888" "1.32390" "1.33238" "300.10" "220.00"]
 ...)



So of course a call to ((*make-data* ...) , fails with the error
"*clojure.lang.LazySeq
cannot be cast to [Double..*". So I need to figure out 1) a way to get each
one of those input data points , into an input-layer neuron. I've started
to think about that when I was dabbling with
code.
If you like, I can look into trying to jerry-rig these kinds of tick data
mappings into (
training/make-data
).
But I need a better understanding of the concept of a Temporalwindow. The
other thing is 2) to figure out how to transform the time field into data
the nn can use. I've been spitting the Datetime object out to longs.


Thanks

Tim Washington
Interruptsoftware.ca
416.843.9060



On Sun, Jul 29, 2012 at 11:35 AM, Dimitrios Jim Piliouras <
jimpil1...@gmail.com> wrote:

> Hi Tim,
>
> According to :
>
> http://www.heatonresearch.com/content/encog-30-article-2-design-goals-overview
>
>
> encog 3 should have descent support for any temporal (time-series) based
> prediction support in particular for financial predictions...I'm afraid
> however that the only example that I've ported to clojure-encog which uses
> temporal data is the sunspot example (SVM not NN).
>
> Also, you shouldn't have any problems with the data (most likely you need
> to normalize them - I usually find  (-1 1) or (0 1) to work best.
> for an example of how exactly you would do it  look for
> "PREDICT-SUNSPOT-SVM"  here:
>
> https://github.com/jimpil/clojure-encog/blob/master/src/clojure_encog/examples.clj
>
>
> these 2 lines do all the job with regards to your input data:
>
> normalizedSunspots (prepare :array-range nil nil :raw-seq spots :ceiling 0.9 
> :floor 0.1)
>
> train-set  ((make-data :temporal-window normalizedSunspots)  window-size 1
> )
>
>
> As far as algorimthmic problems go encog has been around for quite a
> while...even though I don't necessarily agree with all the design decisions
> made along the way I find it is a  rather mature lib...of course it is
> written in Java so being large means it is a bit of a mess! also there is a
> lot of duplication in random places...anyways, what I'm trying to say is:
>
> if you've got a specific example in mind, (like the financial prediction)
> maybe it's worth trying it out using clojure-encog or the encog-workbench
> (the gui) or any other already-made lib and see how it goes...writing your
> own will certainly teach you loads but it migh

Re: community interest in machine learning (?)

[Dimitrios Jim Piliouras]

Hi Tim,

According to :
http://www.heatonresearch.com/content/encog-30-article-2-design-goals-overview

encog 3 should have descent support for any temporal (time-series) based
prediction support in particular for financial predictions...I'm afraid
however that the only example that I've ported to clojure-encog which uses
temporal data is the sunspot example (SVM not NN).

Also, you shouldn't have any problems with the data (most likely you need
to normalize them - I usually find  (-1 1) or (0 1) to work best.
for an example of how exactly you would do it  look for
"PREDICT-SUNSPOT-SVM"  here:
https://github.com/jimpil/clojure-encog/blob/master/src/clojure_encog/examples.clj

these 2 lines do all the job with regards to your input data:

normalizedSunspots (prepare :array-range nil nil :raw-seq spots
:ceiling 0.9 :floor 0.1)

train-set  ((make-data :temporal-window normalizedSunspots)  window-size 1)


As far as algorimthmic problems go encog has been around for quite a
while...even though I don't necessarily agree with all the design decisions
made along the way I find it is a  rather mature lib...of course it is
written in Java so being large means it is a bit of a mess! also there is a
lot of duplication in random places...anyways, what I'm trying to say is:

if you've got a specific example in mind, (like the financial prediction)
maybe it's worth trying it out using clojure-encog or the encog-workbench
(the gui) or any other already-made lib and see how it goes...writing your
own will certainly teach you loads but it might take a while until you
actually test what you want to test...

Normalisation, randomisation or both are almost always needed...

Hope that helps...

Jim



On Sun, Jul 29, 2012 at 5:41 PM, Timothy Washington wrote:

> Hey Ben,
>
> It's the same problem.
>
> user> (incanter/exp (incanter/minus 3254604.9658621363))
> 0.0
>
>
> But it's not the functions. It's the math. Euler's number 2.71828...
> raised to the power of 3254604.9658621363, gives Infinity. So for my neural
> net's activation func, either i) I shouldn't used a sigmoid, or ii) my
> linear combiner needs to keep values within a certain bound. My neuron
> inputs are below. And it's the bid and sk volumes and the long time value
> that's giving me such a large number.
>
>- 1.3239 (bid price)
>- 1.32379 (ask price)
>- 300.0 (bid volume)
>- 225.0 (ask volume)
>- 1335902400676 ( # long value)
>
>
> I just had the idea to try a Gaussian or tanh activation function. I think
> this is the point where I'll give 
> clojure-encoga whirl. I have a 
> feeling I'll be running into a lot of these data and
> other algorithmic problems. And it'd be good to work with something that
> has already dealt with these issues. I still don't know if I need to
> normalize my input data, how to untangle the activation result for
> back propagation, etc. Any insights are welcome.
>
>
> Tim Washington
> Interruptsoftware.ca
> 416.843.9060
>
>
>
> On Sat, Jul 28, 2012 at 7:44 PM, Ben Mabey  wrote:
>
>>  On 7/28/12 4:52 PM, Timothy Washington wrote:
>>
>> Hey Jim,
>>
>>  Encog does look very interesting. Right now, I'm trying (and failing)
>> to implement the sigmoid function. I'm using wikipedia's 
>> reference,
>> and trying to use Incanter's (incanter/exp) function, but Incanter's
>> function doesn't seem to work:
>>
>>  user> user> (incanter/exp -3254604.9658621363)
>> 0.0
>> user> user> (incanter/exp 3254604.9658621363)
>>  Infinity
>>
>>
>>  Try this...
>>
>> (use 'incanter.core)
>> => (defn sigmoid [z]
>>   (div 1 (plus 1 (exp (minus z)
>> => (sigmoid 0)
>> 0.5
>> => (sigmoid 7)
>> 0.9990889488055994
>> => (sigmoid 112)
>> 1.0
>> => (sigmoid -112)
>> 2.285693676718672E-49
>>
>>
>> If you want the library to be fast you will want to be using primitives
>> or use the underlying colt API.. for learning purposes you don't really
>> need to worry about that though.
>>
>> HTH,
>> Ben
>>
>  --
> You received this message because you are subscribed to the Google
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> To post to this group, send email to clojure@googlegroups.com
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> your first post.
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Re: community interest in machine learning (?)

[Timothy Washington]

Hey Ben,

It's the same problem.

user> (incanter/exp (incanter/minus 3254604.9658621363))
0.0


But it's not the functions. It's the math. Euler's number 2.71828... raised
to the power of 3254604.9658621363, gives Infinity. So for my neural net's
activation func, either i) I shouldn't used a sigmoid, or ii) my linear
combiner needs to keep values within a certain bound. My neuron inputs are
below. And it's the bid and sk volumes and the long time value that's
giving me such a large number.

   - 1.3239 (bid price)
   - 1.32379 (ask price)
   - 300.0 (bid volume)
   - 225.0 (ask volume)
   - 1335902400676 ( # long value)


I just had the idea to try a Gaussian or tanh activation function. I think
this is the point where I'll give
clojure-encoga whirl. I have
a feeling I'll be running into a lot of these data and
other algorithmic problems. And it'd be good to work with something that
has already dealt with these issues. I still don't know if I need to
normalize my input data, how to untangle the activation result for
back propagation, etc. Any insights are welcome.


Tim Washington
Interruptsoftware.ca
416.843.9060



On Sat, Jul 28, 2012 at 7:44 PM, Ben Mabey  wrote:

>  On 7/28/12 4:52 PM, Timothy Washington wrote:
>
> Hey Jim,
>
>  Encog does look very interesting. Right now, I'm trying (and failing) to
> implement the sigmoid function. I'm using wikipedia's 
> reference,
> and trying to use Incanter's (incanter/exp) function, but Incanter's
> function doesn't seem to work:
>
>  user> user> (incanter/exp -3254604.9658621363)
> 0.0
> user> user> (incanter/exp 3254604.9658621363)
>  Infinity
>
>
>  Try this...
>
> (use 'incanter.core)
> => (defn sigmoid [z]
>   (div 1 (plus 1 (exp (minus z)
> => (sigmoid 0)
> 0.5
> => (sigmoid 7)
> 0.9990889488055994
> => (sigmoid 112)
> 1.0
> => (sigmoid -112)
> 2.285693676718672E-49
>
>
> If you want the library to be fast you will want to be using primitives or
> use the underlying colt API.. for learning purposes you don't really need
> to worry about that though.
>
> HTH,
> Ben
>

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Re: community interest in machine learning (?)

[Lee Spector]

Thanks Cameron,

I've tried again and indeed it does work now. Thanks so much,

 -Lee


On Jul 26, 2012, at 6:52 PM, cameron wrote:

> Hi Lee,
>apologies for the missing dependencies, it's been a while since I worked 
> on the project and I had local copies of jscheme in .m2. The documentation 
> has been fixed and I've updated the dependencies.
> 
> I've run the samples a built a fresh checkout  on a clean machine so I think 
> you should be ok now though I did have to delete ~/.m2 in one case.
> 
> Let me know if you have any problems.
> 
> Cheers,
>Cameron.

--
Lee Spector, Professor of Computer Science
Cognitive Science, Hampshire College
893 West Street, Amherst, MA 01002-3359
lspec...@hampshire.edu, http://hampshire.edu/lspector/
Phone: 413-559-5352, Fax: 413-559-5438

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Re: community interest in machine learning (?)

[Ben Mabey]

On 7/28/12 4:52 PM, Timothy Washington wrote:

Hey Jim,

Encog does look very interesting. Right now, I'm trying (and failing) 
to implement the sigmoid function. I'm using wikipedia's reference 
, and trying to 
use Incanter's (incanter/exp) function, but Incanter's function 
doesn't seem to work:


user> user> (incanter/exp -3254604.9658621363)
0.0
user> user> (incanter/exp 3254604.9658621363)
Infinity



Try this...

(use 'incanter.core)
=> (defn sigmoid [z]
  (div 1 (plus 1 (exp (minus z)
=> (sigmoid 0)
0.5
=> (sigmoid 7)
0.9990889488055994
=> (sigmoid 112)
1.0
=> (sigmoid -112)
2.285693676718672E-49


If you want the library to be fast you will want to be using primitives 
or use the underlying colt API.. for learning purposes you don't really 
need to worry about that though.


HTH,
Ben

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Re: community interest in machine learning (?)

[Timothy Washington]

Hey Jim,

Encog does look very interesting. Right now, I'm trying (and failing) to
implement the sigmoid function. I'm using wikipedia's
reference,
and trying to use Incanter's (incanter/exp) function, but Incanter's
function doesn't seem to work:

user> user> (incanter/exp -3254604.9658621363)
0.0
user> user> (incanter/exp 3254604.9658621363)
Infinity


I took a peek at encog's java sigmoid
implementation,
and while my calculus is correct, they are using their own exponential
function. *i)* Is there another Incanter function I should be using?
*ii)*Maybe the number going into (incanter/exp) has to be within a
certain
range? I'm getting that *3254604.9658621363* number as a linear combination
of these inputs (i took the long value of time and randomized the weights).
*iii)* Is there a different way to sum these value? Is this where input
data massaging comes in?

  ({:key :time, :value #, :weight
0.22072475374809264}
   {:key :bid, :value 1.3239, :weight 0.5831561982324751}
   {:key :ask, :value 1.32379, :weight 0.9364679759677283}
   {:key :bvolume, :value 300.0, :weight 0.5956072849191396}
   {:key :avolume, :value 225.0, :weight 0.07837823837657176}),


There's a few other issues I'm still trying to understand. I outlined them
in this 
quant.stackexchangepost.
But primarily:

   - Algorithmically, I don't understand how to achieve both bid and ask
   predictions with each tick? the i) linear combiner and ii) activation
   functions, coupled with the bias, act to produce 1 value
   - In Back Propagation, is it just the weights that are adjusted, or the
   biases as well?


There are other things like how to decide the number of neurons in the
hidden layer. But once I get a very simplistic code example working, I'll
feel more confidence in understanding the mechanics of this neural network
works. And I'd start using your clojure-encog library as it's probably much
more complete than anything I could build. Any insights or examples you
could provide would be great.


Cheers

Tim Washington
Interruptsoftware.ca
416.843.9060



On Sat, Jul 28, 2012 at 8:51 AM, Dimitrios Jim Piliouras <
jimpil1...@gmail.com> wrote:

> If you're doing anything related with neural nets I think clojure-encog is
> indeed the place to start... I've wrapped most of the original java encog
> v3 so far and I am actively using it for my own projects...I'd be very
> happy to hear your feedback if you decide to use it after all...The truth
> is I've not provided a wiki  but I have provided an examples.clj where I've
> ported some of the most famous encog examples using my wrapper...hope you
> find it useful! any help you need along the way don't hesitate to ask!
> predicting financial series has been done in the past by heaton-research
> but unfortunately I've not ported that example! maybe it is time to do so
> as soon as I return from holidays...
>
> take care... :)
>
> Jim
>
> On Fri, Jul 27, 2012 at 10:03 PM, Timothy Washington 
> wrote:
>
>> I'm working on a Neural Network application to tech myself machine
>> learning and AI.
>>
>>- https://github.com/twashing/nn
>>
>> There's nothing there right now. But I'm keenly interested in the field,
>> and getting a working project, predicting financial time series. I'm keen
>> to check out clojure-encog ,
>> and any other AI library. I just want to make sure I understand the
>> mechanics of the algorithms that are being used.
>>
>>

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Re: community interest in machine learning (?)

[Dimitrios Jim Piliouras]

If you're doing anything related with neural nets I think clojure-encog is
indeed the place to start... I've wrapped most of the original java encog
v3 so far and I am actively using it for my own projects...I'd be very
happy to hear your feedback if you decide to use it after all...The truth
is I've not provided a wiki  but I have provided an examples.clj where I've
ported some of the most famous encog examples using my wrapper...hope you
find it useful! any help you need along the way don't hesitate to ask!
predicting financial series has been done in the past by heaton-research
but unfortunately I've not ported that example! maybe it is time to do so
as soon as I return from holidays...

take care... :)

Jim

On Fri, Jul 27, 2012 at 10:03 PM, Timothy Washington wrote:

> I'm working on a Neural Network application to tech myself machine
> learning and AI.
>
>- https://github.com/twashing/nn
>
> There's nothing there right now. But I'm keenly interested in the field,
> and getting a working project, predicting financial time series. I'm keen
> to check out clojure-encog , and
> any other AI library. I just want to make sure I understand the mechanics
> of the algorithms that are being used.
>
>
> Very exciting
>
> Tim Washington
> Interruptsoftware.ca
> 416.843.9060
>
>
>
> On Sun, Jul 15, 2012 at 1:10 PM, Joshua Bowles wrote:
>
>> New to Clojure (but not Lisp).
>>
>> Does anyone have a good sense of the interest in machine learning in
>> Clojure community?
>> I've seen in the last few threads some interesting posts and libraries
>> related to machine learning, and there is plenty of stuff one can get from
>> Java (mahout, weka, clj-ml [
>> http://antoniogarrote.github.com/clj-ml/index.html]), but I'm curious to
>> know if anyone here has a sense of the overall community interest.
>>
>> It's nice to see interesting libraries that support needed tasks for
>> machine learning (I'm all for links to libraries), but what I'm really
>> trying to get is* a sense of the overall interest the community has in
>> machine learning*. For example, Python community overall has a lot of
>> interest in scientific computing and machine learning. Compare this to
>> Ruby... not that you couldn't provide good libraries in Ruby (for example
>> the SciRuby project), but the Ruby community overall does not seem to have
>> much interest in these kinds of academic pursuits.
>>
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Re: community interest in machine learning (?)

[Timothy Washington]

I'm working on a Neural Network application to tech myself machine learning
and AI.

   - https://github.com/twashing/nn

There's nothing there right now. But I'm keenly interested in the field,
and getting a working project, predicting financial time series. I'm keen
to check out clojure-encog , and
any other AI library. I just want to make sure I understand the mechanics
of the algorithms that are being used.


Very exciting

Tim Washington
Interruptsoftware.ca
416.843.9060



On Sun, Jul 15, 2012 at 1:10 PM, Joshua Bowles  wrote:

> New to Clojure (but not Lisp).
>
> Does anyone have a good sense of the interest in machine learning in
> Clojure community?
> I've seen in the last few threads some interesting posts and libraries
> related to machine learning, and there is plenty of stuff one can get from
> Java (mahout, weka, clj-ml [
> http://antoniogarrote.github.com/clj-ml/index.html]), but I'm curious to
> know if anyone here has a sense of the overall community interest.
>
> It's nice to see interesting libraries that support needed tasks for
> machine learning (I'm all for links to libraries), but what I'm really
> trying to get is* a sense of the overall interest the community has in
> machine learning*. For example, Python community overall has a lot of
> interest in scientific computing and machine learning. Compare this to
> Ruby... not that you couldn't provide good libraries in Ruby (for example
> the SciRuby project), but the Ruby community overall does not seem to have
> much interest in these kinds of academic pursuits.
>

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Re: community interest in machine learning (?)

[cameron]

Hi Lee,
   apologies for the missing dependencies, it's been a while since I worked 
on the project and I had local copies of jscheme in .m2. The documentation 
has been fixed and I've updated the dependencies.

I've run the samples a built a fresh checkout  on a clean machine so I 
think you should be ok now though I did have to delete ~/.m2 in one case.

Let me know if you have any problems.

Cheers,
   Cameron.

On Thursday, July 26, 2012 11:42:07 PM UTC+10, Lee wrote:
>
>
> Cameron, 
>
> I'm eager to check this out. 
>
> There's a missing quote mark in the dependency line in the getting started 
> guide, but after fixing it I still get: 
>
> Downloading: 
> org/clojars/cdorrat/geva-clj/1.2-SNAPSHOT/geva-clj-1.2-SNAPSHOT.pom from 
> repository clojars at http://clojars.org/repo/ 
> Unable to locate resource in repository 
> [INFO] Unable to find resource 
> 'org.clojars.cdorrat:geva-clj:pom:1.2-SNAPSHOT' in repository clojars (
> http://clojars.org/repo/) 
> An error has occurred while processing the Maven artifact tasks. 
>
> This is in a fresh Clojure 1.3 project to which I've just added that one 
> dependency. 
>
> Am I missing something obvious? 
>
> Thanks, 
>
>  -Lee 
>
>
>
> On Jul 25, 2012, at 6:04 PM, cameron wrote: 
>
> > I've posted the code for the clojure enhanced GEVA library, 
> > there's a getting started guide available at 
> http://cdorrat.github.com/geva-clj/ 
> > and the source is available  at http://github.com/cdorrat/geva-clj 
> > 
> > It's currently based on GEVA 1.2 if there's enough interest I'll look at 
> merging the changes from 2.0 release. 
> > 
> > Cheers, 
> >Cameron. 
>

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Re: community interest in machine learning (?)

[Lee Spector]

Cameron,

I'm eager to check this out. 

There's a missing quote mark in the dependency line in the getting started 
guide, but after fixing it I still get:

Downloading: 
org/clojars/cdorrat/geva-clj/1.2-SNAPSHOT/geva-clj-1.2-SNAPSHOT.pom from 
repository clojars at http://clojars.org/repo/
Unable to locate resource in repository
[INFO] Unable to find resource 'org.clojars.cdorrat:geva-clj:pom:1.2-SNAPSHOT' 
in repository clojars (http://clojars.org/repo/)
An error has occurred while processing the Maven artifact tasks.

This is in a fresh Clojure 1.3 project to which I've just added that one 
dependency. 

Am I missing something obvious?

Thanks,

 -Lee



On Jul 25, 2012, at 6:04 PM, cameron wrote:

> I've posted the code for the clojure enhanced GEVA library, 
> there's a getting started guide available at 
> http://cdorrat.github.com/geva-clj/
> and the source is available  at http://github.com/cdorrat/geva-clj
> 
> It's currently based on GEVA 1.2 if there's enough interest I'll look at 
> merging the changes from 2.0 release.
> 
> Cheers,
>Cameron.

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Re: community interest in machine learning (?)

[cameron]

I've posted the code for the clojure enhanced GEVA library, 
there's a getting started guide available at 
http://cdorrat.github.com/geva-clj/
and the source is available  at http://github.com/cdorrat/geva-clj

It's currently based on GEVA 1.2 if there's enough interest I'll look at 
merging the changes from 2.0 release.

Cheers,
   Cameron.

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Re: community interest in machine learning (?)

[Joshua Bowles]

Thanks for the references. 

*You have to realize that using lazy-seqs and clojure collections in 
general are 
non-starters since they don't yet support primitives yet and will never 
be as optimized as existing Fortran (read BLAS/LAPACK) and Java code.* 

Good point. I wasn't even thinking abou this kind of stuff yet... thanks. 
No matter the language, it seems like it always ends up coming back to 
BLAS/LAPLACK... ahhh Fortran.

On Friday, July 20, 2012 11:35:44 AM UTC-6, Ben Mabey wrote:
>
> On 7/20/12 10:34 AM, Joshua Bowles wrote: 
> > Check this out for weka: https://github.com/antoniogarrote/clj-ml 
>
> FYI, that fork isn't maintained anymore.  I've updated it quite a bit 
> and fixed a lot of reflection issues that were making it unusable in 
> production: 
>
> https://github.com/bmabey/clj-ml 
>
> If I had enough time I would probably rewrite the library since there 
> are a number of things that bug me about the API.  Ideally, we could 
> have the majority of the wrappers generated from java-docs since 
> manually wrapping every single option is quite tedious.  It gets the job 
> done though and we have been using it in production for two years now.   
> In addition to using weka libraries we have wrapped encog and have 
> written some of our own algorithms including an ensemble algorithm 
> (based mostly on Rich Caruana's work[1]) which composes all these 
> algorithms. 
>
> As far as general ML in clojure goes... We've liked using clojure for 
> our ML work but it does suffer from the split language problem. Meaning, 
> code you write for performant ML algorithms is not the same type of code 
> you regularly write in Clojure (same as writing numpy is different than 
> regular python).  The trick is to wrap all the interop in nice clojure 
> abstractions so you don't have to think about it all the time.  You have 
> to realize that using lazy-seqs and clojure collections in general are 
> non-starters since they don't yet support primitives yet and will never 
> be as optimized as existing Fortran (read BLAS/LAPACK) and Java code.   
> Here is a SO answer of mine explaining the same thing in more detail: 
> http://stackoverflow.com/a/8902524/233964 
>
> I started releasing some nice (IMO) wrappers for parallel colt that 
> allow you to get a little closer to the library than Incanter allows you 
> to.  I never got too far but what I did release is useful (I use them at 
> work) and could be a good starting point for someone else: 
> https://github.com/bmabey/claw/blob/master/src/claw/core.clj 
>
> (Note, the reason why I needed this was because the abstractions in 
> Incanter, while beautiful, were too costly for my needs.) 
>
> Lastly, at ClojureWest Bradford Cross mentioned in his keynote[2] that 
> they were eventually going to release some of their libraries that they 
> use at Prismatic.  Although he didn't say this exactly it sounded liked 
> they had written some convex-optimization algorithms using pure java 
> arrays with their wrapper library called Flop.  It doesn't look like 
> they have released anything yet (https://github.com/prismatic). 
>
> -Ben 
>
>
>
> 1. http://www.cs.cornell.edu/~caruana/ 
> 2. 
> http://www.infoq.com/presentations/Why-Prismatic-Goes-Faster-With-Clojure 
>
>

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Re: community interest in machine learning (?)

[Lee Spector]

I'd like to see this, as might others in the evolutionary computing community. 
I just gave some presentations at GECCO at which I mentioned that my current 
work is implemented in Clojure, and a couple of people told me that they were 
interested in working in Clojure too.

 -Lee

On Jul 21, 2012, at 7:18 PM, cameron wrote:

> I wrote a clojure wrapper for GEVA ( a gramatical evolutional library, see 
> http://ncra.ucd.ie/Site/GEVA.html) that I can put on github if theres any 
> interest. I'm not as active in this area as I once was but I'm definitely 
> still interested. 

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Re: community interest in machine learning (?)

[cameron]

I wrote a clojure wrapper for GEVA ( a gramatical evolutional library, see 
http://ncra.ucd.ie/Site/GEVA.html) that I can put on github if theres any 
interest. I'm not as active in this area as I once was but I'm definitely 
still interested. 

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Re: community interest in machine learning (?)

[Ben Mabey]

On 7/20/12 10:34 AM, Joshua Bowles wrote:

Check this out for weka: https://github.com/antoniogarrote/clj-ml


FYI, that fork isn't maintained anymore.  I've updated it quite a bit 
and fixed a lot of reflection issues that were making it unusable in 
production:


https://github.com/bmabey/clj-ml

If I had enough time I would probably rewrite the library since there 
are a number of things that bug me about the API.  Ideally, we could 
have the majority of the wrappers generated from java-docs since 
manually wrapping every single option is quite tedious.  It gets the job 
done though and we have been using it in production for two years now.  
In addition to using weka libraries we have wrapped encog and have 
written some of our own algorithms including an ensemble algorithm 
(based mostly on Rich Caruana's work[1]) which composes all these 
algorithms.


As far as general ML in clojure goes... We've liked using clojure for 
our ML work but it does suffer from the split language problem. Meaning, 
code you write for performant ML algorithms is not the same type of code 
you regularly write in Clojure (same as writing numpy is different than 
regular python).  The trick is to wrap all the interop in nice clojure 
abstractions so you don't have to think about it all the time.  You have 
to realize that using lazy-seqs and clojure collections in general are 
non-starters since they don't yet support primitives yet and will never 
be as optimized as existing Fortran (read BLAS/LAPACK) and Java code.  
Here is a SO answer of mine explaining the same thing in more detail:

http://stackoverflow.com/a/8902524/233964

I started releasing some nice (IMO) wrappers for parallel colt that 
allow you to get a little closer to the library than Incanter allows you 
to.  I never got too far but what I did release is useful (I use them at 
work) and could be a good starting point for someone else:

https://github.com/bmabey/claw/blob/master/src/claw/core.clj

(Note, the reason why I needed this was because the abstractions in 
Incanter, while beautiful, were too costly for my needs.)


Lastly, at ClojureWest Bradford Cross mentioned in his keynote[2] that 
they were eventually going to release some of their libraries that they 
use at Prismatic.  Although he didn't say this exactly it sounded liked 
they had written some convex-optimization algorithms using pure java 
arrays with their wrapper library called Flop.  It doesn't look like 
they have released anything yet (https://github.com/prismatic).


-Ben



1. http://www.cs.cornell.edu/~caruana/
2. http://www.infoq.com/presentations/Why-Prismatic-Goes-Faster-With-Clojure

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Re: community interest in machine learning (?)

[Joshua Bowles]

Check this out for weka: https://github.com/antoniogarrote/clj-ml

On Tue, Jul 17, 2012 at 8:12 PM, Seth Chandler wrote:

> I'm extremely interested.  I'm new to Clojure, coming mostly from a
> Mathematica background, but I just finished a major project linking
> Mathematica to Weka and am interested in doing something similar with
> Clojure.  Weka, by the way, is 99% terrific, and so before people go
> completely reinvent the wheel, it might be worthwhile thinking about a
> Clojure-Weka interface of sorts.
>
> On Sunday, July 15, 2012 11:10:22 AM UTC-6, Joshua Bowles wrote:
>>
>> New to Clojure (but not Lisp).
>>
>> Does anyone have a good sense of the interest in machine learning in
>> Clojure community?
>> I've seen in the last few threads some interesting posts and libraries
>> related to machine learning, and there is plenty of stuff one can get from
>> Java (mahout, weka, clj-ml [http://antoniogarrote.github.**
>> com/clj-ml/index.html]),
>> but I'm curious to know if anyone here has a sense of the overall community
>> interest.
>>
>> It's nice to see interesting libraries that support needed tasks for
>> machine learning (I'm all for links to libraries), but what I'm really
>> trying to get is* a sense of the overall interest the community has in
>> machine learning*. For example, Python community overall has a lot of
>> interest in scientific computing and machine learning. Compare this to
>> Ruby... not that you couldn't provide good libraries in Ruby (for example
>> the SciRuby project), but the Ruby community overall does not seem to have
>> much interest in these kinds of academic pursuits.
>>
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Re: community interest in machine learning (?)

[Seth Chandler]

I'm extremely interested.  I'm new to Clojure, coming mostly from a 
Mathematica background, but I just finished a major project linking 
Mathematica to Weka and am interested in doing something similar with 
Clojure.  Weka, by the way, is 99% terrific, and so before people go 
completely reinvent the wheel, it might be worthwhile thinking about a 
Clojure-Weka interface of sorts.  

On Sunday, July 15, 2012 11:10:22 AM UTC-6, Joshua Bowles wrote:
>
> New to Clojure (but not Lisp).
>
> Does anyone have a good sense of the interest in machine learning in 
> Clojure community?
> I've seen in the last few threads some interesting posts and libraries 
> related to machine learning, and there is plenty of stuff one can get from 
> Java (mahout, weka, clj-ml [
> http://antoniogarrote.github.com/clj-ml/index.html]), but I'm curious to 
> know if anyone here has a sense of the overall community interest. 
>
> It's nice to see interesting libraries that support needed tasks for 
> machine learning (I'm all for links to libraries), but what I'm really 
> trying to get is* a sense of the overall interest the community has in 
> machine learning*. For example, Python community overall has a lot of 
> interest in scientific computing and machine learning. Compare this to 
> Ruby... not that you couldn't provide good libraries in Ruby (for example 
> the SciRuby project), but the Ruby community overall does not seem to have 
> much interest in these kinds of academic pursuits.
>

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Re: community interest in machine learning (?)

[Zhemin Lin]

Hi Joshua,

I've taken Andrew Ng's courses, too.  Wonder where have they shared the 
source code in Clojure?
I've done all the exercises in Octave.  It would be great to study how to 
do it in Clojure.

Thanks!


2012年7月16日月曜日 22時24分36秒 UTC+8 Joshua Bowles:
>
> Incanter does look great; look forward to getting into it; I'll check out 
> your mahout examples too... I'm about ready to tear into that book.
>
> So much research has been done in Artificial Intelligence with LISP. With 
> the applied history of LISP it just seems like a perfect fit for Clojure to 
> take the lead in many AI sub-fields. I know also that a few people taking 
> Andrew Ng's (online) Machine Learning Class did it in Clojure. 
>
>
>

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Re: community interest in machine learning (?)

[Joshua Bowles]

I've written to Coursera to request a course in "Artificial Intelligence
with Clojure"; they offer about 8 courses related to Artificial
Intelligence. One of the latest course offerings is "Functional Programming
Principles in Scala" taught by the language's creator Martin Odersky.

If you would like to send Coursera a request for a Clojure class:
http://help.coursera.org/customer/portal/emails/new

On Wed, Jul 18, 2012 at 4:37 AM, Maik Schünemann
wrote:

> I'm interested too and I am glad to here that the community shares the
> interest!
> Clojure seems like an ideal AI and ML language for me because of its lisp
> heritage and because it is running on the jvm and can use all java and jvm
> language libraries and vice versa
>
>
> On Wed, Jul 18, 2012 at 3:58 AM, myriam abramson wrote:
>
>>
>> Yes, I am interested too. All I have done is an implementation of HMM and
>> I am looking to use clj-ml to interface with Weka.
>>
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Re: community interest in machine learning (?)

[Maik Schünemann]

I'm interested too and I am glad to here that the community shares the
interest!
Clojure seems like an ideal AI and ML language for me because of its lisp
heritage and because it is running on the jvm and can use all java and jvm
language libraries and vice versa

On Wed, Jul 18, 2012 at 3:58 AM, myriam abramson wrote:

>
> Yes, I am interested too. All I have done is an implementation of HMM and
> I am looking to use clj-ml to interface with Weka.
>
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Re: community interest in machine learning (?)

[myriam abramson]

Yes, I am interested too. All I have done is an implementation of HMM and I
am looking to use clj-ml to interface with Weka.

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Re: community interest in machine learning (?)

[Joshua Bowles]

Thanks to all the replies. I'm starting to think that the future of Clojure
in the Artificial Intelligence domain (including machine learning) is
extremely promising.

On Tue, Jul 17, 2012 at 1:51 PM, Joshua Bowles  wrote:

> Thanks to all the replies. I'm starting to think that the future of
> Clojure in the Artificial Intelligence domain (including machine learning)
> is extr
>
>
> On Tue, Jul 17, 2012 at 1:29 PM, Jim.foobar  wrote:
>
>>
>> i also have a strong interest in machine learning...to that end i've
>> wrapped most of encog v3...you can find it on github and clojars as
>> "clojure-encog"...sorry for the brief reply im on vacation and just found
>> some internet ...
>>
>> Sent from my mobile...
>>
>>
>>
>> Lee Spector  wrote:
>>
>>
>>  --
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>>
>
>

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Re: community interest in machine learning (?)

[Joshua Bowles]

Thanks to all the replies. I'm starting to think that the future of Clojure
in the Artificial Intelligence domain (including machine learning) is extr

On Tue, Jul 17, 2012 at 1:29 PM, Jim.foobar  wrote:

>
> i also have a strong interest in machine learning...to that end i've
> wrapped most of encog v3...you can find it on github and clojars as
> "clojure-encog"...sorry for the brief reply im on vacation and just found
> some internet ...
>
> Sent from my mobile...
>
>
>
> Lee Spector  wrote:
>
>
>  --
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Re: community interest in machine learning (?)

[Jim.foobar]

i also have a strong interest in machine learning...to that end i've wrapped 
most of encog v3...you can find it on github and clojars as 
"clojure-encog"...sorry for the brief reply im on vacation and just found some 
internet ...

Sent from my mobile...

Lee Spector  wrote:

null

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Re: community interest in machine learning (?)

[Lee Spector]

Whether this counts as "machine learning" depends on your perspective, but my 
group uses clojure for research in genetic programming and related forms of 
evolutionary computation. See, e.g., https://github.com/lspector/Clojush/

Some of the students in my lab also work in more mainstream forms of machine 
learning, using Clojure, and we would certainly be interested in checking out 
and possibly using any other ML tools in Clojure.

FWIW I come from a Lisp/AI background and have switched to Clojure in the last 
couple of years... and I think it's a pretty ideal environment for the kind of 
AI research that I do...

 -Lee

On Jul 16, 2012, at 7:20 PM, dmirylenka wrote:

> Not sure about the community, but I personally would be very interested in 
> having a machine learning library or environment in Clojure.
> 
> I'm playing with classification and clustering of academic papers, and use 
> clojure for the whole research cycle - crawling and parsing the data from the 
> web, text processing (through weka or mallet), classification (through 
> svm-clj), and, of course, setting up the experiments, and doing input-output 
> between other tools. 
> 
> I was also thinking it would be nice to have Incanter extended with machine 
> learning algorithms.
> So far it looks like its focus has been statistics rather then machine 
> learning.
> 
> On Sunday, July 15, 2012 7:10:22 PM UTC+2, Joshua Bowles wrote:
> New to Clojure (but not Lisp).
> 
> Does anyone have a good sense of the interest in machine learning in Clojure 
> community?
> I've seen in the last few threads some interesting posts and libraries 
> related to machine learning, and there is plenty of stuff one can get from 
> Java (mahout, weka, clj-ml 
> [http://antoniogarrote.github.com/clj-ml/index.html]), but I'm curious to 
> know if anyone here has a sense of the overall community interest. 
> 
> It's nice to see interesting libraries that support needed tasks for machine 
> learning (I'm all for links to libraries), but what I'm really trying to get 
> is a sense of the overall interest the community has in machine learning. For 
> example, Python community overall has a lot of interest in scientific 
> computing and machine learning. Compare this to Ruby... not that you couldn't 
> provide good libraries in Ruby (for example the SciRuby project), but the 
> Ruby community overall does not seem to have much interest in these kinds of 
> academic pursuits.
> 
> -- 
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--
Lee Spector, Professor of Computer Science
Cognitive Science, Hampshire College
893 West Street, Amherst, MA 01002-3359
lspec...@hampshire.edu, http://hampshire.edu/lspector/
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community interest in machine learning (?)

[Jeff Heon]

I could not comment on the community as a whole, but certainly a part of it has 
interest in it.

Here is a presentation about using ML in Clojure for genome research:
Hacking the Human Genome Using Clojure and Similarity Search
http://bit.ly/yKFnPA

Also, an interview with the speaker:
http://bit.ly/Ai6ILm

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Re: community interest in machine learning (?)

[dmirylenka]

Not sure about the community, but I personally would be very interested in 
having a machine learning library or environment in Clojure.

I'm playing with classification and clustering of academic papers, and use 
clojure for the whole research cycle - crawling and parsing the data from 
the web, text processing (through weka or mallet), classification (through 
svm-clj), and, of course, setting up the experiments, and doing 
input-output between other tools. 

I was also thinking it would be nice to have Incanter extended with machine 
learning algorithms.
So far it looks like its focus has been statistics rather then machine 
learning.

On Sunday, July 15, 2012 7:10:22 PM UTC+2, Joshua Bowles wrote:
>
> New to Clojure (but not Lisp).
>
> Does anyone have a good sense of the interest in machine learning in 
> Clojure community?
> I've seen in the last few threads some interesting posts and libraries 
> related to machine learning, and there is plenty of stuff one can get from 
> Java (mahout, weka, clj-ml [
> http://antoniogarrote.github.com/clj-ml/index.html]), but I'm curious to 
> know if anyone here has a sense of the overall community interest. 
>
> It's nice to see interesting libraries that support needed tasks for 
> machine learning (I'm all for links to libraries), but what I'm really 
> trying to get is* a sense of the overall interest the community has in 
> machine learning*. For example, Python community overall has a lot of 
> interest in scientific computing and machine learning. Compare this to 
> Ruby... not that you couldn't provide good libraries in Ruby (for example 
> the SciRuby project), but the Ruby community overall does not seem to have 
> much interest in these kinds of academic pursuits.
>

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Re: community interest in machine learning (?)

[Joshua Bowles]

Nice. I'm still few weeks from diving in... still groking the Clojure
API... but when I'm ready I'm up for a collaborative effort!

On Mon, Jul 16, 2012 at 10:25 AM, Alex Ott  wrote:

> If you'll start to read this book, and plan to do examples in Clojure,
> then I can give you access to my repository - to benefit from
> collaborative work ;-)
>
> I also thought about using Weka, but the "Data Mining: Practical
> Machine Learning Tools and Techniques, 3ed" is still waiting in
> reading queue...
>
> On Mon, Jul 16, 2012 at 4:24 PM, Joshua Bowles 
> wrote:
> > Incanter does look great; look forward to getting into it; I'll check out
> > your mahout examples too... I'm about ready to tear into that book.
> >
> > So much research has been done in Artificial Intelligence with LISP. With
> > the applied history of LISP it just seems like a perfect fit for Clojure
> to
> > take the lead in many AI sub-fields. I know also that a few people taking
> > Andrew Ng's (online) Machine Learning Class did it in Clojure.
> >
> >
> > On Mon, Jul 16, 2012 at 7:16 AM, Alex Ott  wrote:
> >>
> >> Hi Joshua
> >>
> >> I know several people who're interested in this. I slowly working on
> >> translation of Mahout in Action examples to Clojure
> >> (https://github.com/alexott/mia-clj), and hope, that using these
> >> examples, as a base, we can build "clojurish" bindings for Mahout.
> >>
> >> I think, that some basic building blocks for ML could be also found in
> >> Incanter project...
> >>
> >> On Sun, Jul 15, 2012 at 7:10 PM, Joshua Bowles 
> >> wrote:
> >> > New to Clojure (but not Lisp).
> >> >
> >> > Does anyone have a good sense of the interest in machine learning in
> >> > Clojure
> >> > community?
> >> > I've seen in the last few threads some interesting posts and libraries
> >> > related to machine learning, and there is plenty of stuff one can get
> >> > from
> >> > Java (mahout, weka, clj-ml
> >> > [http://antoniogarrote.github.com/clj-ml/index.html]), but I'm
> curious
> >> > to
> >> > know if anyone here has a sense of the overall community interest.
> >> >
> >> > It's nice to see interesting libraries that support needed tasks for
> >> > machine
> >> > learning (I'm all for links to libraries), but what I'm really trying
> to
> >> > get
> >> > is a sense of the overall interest the community has in machine
> >> > learning.
> >> > For example, Python community overall has a lot of interest in
> >> > scientific
> >> > computing and machine learning. Compare this to Ruby... not that you
> >> > couldn't provide good libraries in Ruby (for example the SciRuby
> >> > project),
> >> > but the Ruby community overall does not seem to have much interest in
> >> > these
> >> > kinds of academic pursuits.
> >> >
> >> > --
> >> > You received this message because you are subscribed to the Google
> >> > Groups "Clojure" group.
> >> > To post to this group, send email to clojure@googlegroups.com
> >> > Note that posts from new members are moderated - please be patient
> with
> >> > your
> >> > first post.
> >> > To unsubscribe from this group, send email to
> >> > clojure+unsubscr...@googlegroups.com
> >> > For more options, visit this group at
> >> > http://groups.google.com/group/clojure?hl=en
> >>
> >>
> >>
> >> --
> >> With best wishes,Alex Ott
> >> http://alexott.net/
> >> Tiwtter: alexott_en (English), alexott (Russian)
> >> Skype: alex.ott
> >>
> >> --
> >> You received this message because you are subscribed to the Google
> >> Groups "Clojure" group.
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> >
> >
> > --
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>
>
>
> --
> With best wishes,Alex Ott
> http://alexott.net/
> Tiwtter: alexott_en (English), alexott (Russian)
> Skype: alex.ott
>
> --
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Re: community interest in machine learning (?)

[Alex Ott]

If you'll start to read this book, and plan to do examples in Clojure,
then I can give you access to my repository - to benefit from
collaborative work ;-)

I also thought about using Weka, but the "Data Mining: Practical
Machine Learning Tools and Techniques, 3ed" is still waiting in
reading queue...

On Mon, Jul 16, 2012 at 4:24 PM, Joshua Bowles  wrote:
> Incanter does look great; look forward to getting into it; I'll check out
> your mahout examples too... I'm about ready to tear into that book.
>
> So much research has been done in Artificial Intelligence with LISP. With
> the applied history of LISP it just seems like a perfect fit for Clojure to
> take the lead in many AI sub-fields. I know also that a few people taking
> Andrew Ng's (online) Machine Learning Class did it in Clojure.
>
>
> On Mon, Jul 16, 2012 at 7:16 AM, Alex Ott  wrote:
>>
>> Hi Joshua
>>
>> I know several people who're interested in this. I slowly working on
>> translation of Mahout in Action examples to Clojure
>> (https://github.com/alexott/mia-clj), and hope, that using these
>> examples, as a base, we can build "clojurish" bindings for Mahout.
>>
>> I think, that some basic building blocks for ML could be also found in
>> Incanter project...
>>
>> On Sun, Jul 15, 2012 at 7:10 PM, Joshua Bowles 
>> wrote:
>> > New to Clojure (but not Lisp).
>> >
>> > Does anyone have a good sense of the interest in machine learning in
>> > Clojure
>> > community?
>> > I've seen in the last few threads some interesting posts and libraries
>> > related to machine learning, and there is plenty of stuff one can get
>> > from
>> > Java (mahout, weka, clj-ml
>> > [http://antoniogarrote.github.com/clj-ml/index.html]), but I'm curious
>> > to
>> > know if anyone here has a sense of the overall community interest.
>> >
>> > It's nice to see interesting libraries that support needed tasks for
>> > machine
>> > learning (I'm all for links to libraries), but what I'm really trying to
>> > get
>> > is a sense of the overall interest the community has in machine
>> > learning.
>> > For example, Python community overall has a lot of interest in
>> > scientific
>> > computing and machine learning. Compare this to Ruby... not that you
>> > couldn't provide good libraries in Ruby (for example the SciRuby
>> > project),
>> > but the Ruby community overall does not seem to have much interest in
>> > these
>> > kinds of academic pursuits.
>> >
>> > --
>> > You received this message because you are subscribed to the Google
>> > Groups "Clojure" group.
>> > To post to this group, send email to clojure@googlegroups.com
>> > Note that posts from new members are moderated - please be patient with
>> > your
>> > first post.
>> > To unsubscribe from this group, send email to
>> > clojure+unsubscr...@googlegroups.com
>> > For more options, visit this group at
>> > http://groups.google.com/group/clojure?hl=en
>>
>>
>>
>> --
>> With best wishes,Alex Ott
>> http://alexott.net/
>> Tiwtter: alexott_en (English), alexott (Russian)
>> Skype: alex.ott
>>
>> --
>> You received this message because you are subscribed to the Google
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>> http://groups.google.com/group/clojure?hl=en
>
>
> --
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http://alexott.net/
Tiwtter: alexott_en (English), alexott (Russian)
Skype: alex.ott

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Re: community interest in machine learning (?)

[Joshua Bowles]

Incanter does look great; look forward to getting into it; I'll check out
your mahout examples too... I'm about ready to tear into that book.

So much research has been done in Artificial Intelligence with LISP. With
the applied history of LISP it just seems like a perfect fit for Clojure to
take the lead in many AI sub-fields. I know also that a few people taking
Andrew Ng's (online) Machine Learning Class did it in Clojure.

On Mon, Jul 16, 2012 at 7:16 AM, Alex Ott  wrote:

> Hi Joshua
>
> I know several people who're interested in this. I slowly working on
> translation of Mahout in Action examples to Clojure
> (https://github.com/alexott/mia-clj), and hope, that using these
> examples, as a base, we can build "clojurish" bindings for Mahout.
>
> I think, that some basic building blocks for ML could be also found in
> Incanter project...
>
> On Sun, Jul 15, 2012 at 7:10 PM, Joshua Bowles 
> wrote:
> > New to Clojure (but not Lisp).
> >
> > Does anyone have a good sense of the interest in machine learning in
> Clojure
> > community?
> > I've seen in the last few threads some interesting posts and libraries
> > related to machine learning, and there is plenty of stuff one can get
> from
> > Java (mahout, weka, clj-ml
> > [http://antoniogarrote.github.com/clj-ml/index.html]), but I'm curious
> to
> > know if anyone here has a sense of the overall community interest.
> >
> > It's nice to see interesting libraries that support needed tasks for
> machine
> > learning (I'm all for links to libraries), but what I'm really trying to
> get
> > is a sense of the overall interest the community has in machine learning.
> > For example, Python community overall has a lot of interest in scientific
> > computing and machine learning. Compare this to Ruby... not that you
> > couldn't provide good libraries in Ruby (for example the SciRuby
> project),
> > but the Ruby community overall does not seem to have much interest in
> these
> > kinds of academic pursuits.
> >
> > --
> > You received this message because you are subscribed to the Google
> > Groups "Clojure" group.
> > To post to this group, send email to clojure@googlegroups.com
> > Note that posts from new members are moderated - please be patient with
> your
> > first post.
> > To unsubscribe from this group, send email to
> > clojure+unsubscr...@googlegroups.com
> > For more options, visit this group at
> > http://groups.google.com/group/clojure?hl=en
>
>
>
> --
> With best wishes,Alex Ott
> http://alexott.net/
> Tiwtter: alexott_en (English), alexott (Russian)
> Skype: alex.ott
>
> --
> You received this message because you are subscribed to the Google
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>

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Re: community interest in machine learning (?)

[Alex Ott]

Hi Joshua

I know several people who're interested in this. I slowly working on
translation of Mahout in Action examples to Clojure
(https://github.com/alexott/mia-clj), and hope, that using these
examples, as a base, we can build "clojurish" bindings for Mahout.

I think, that some basic building blocks for ML could be also found in
Incanter project...

On Sun, Jul 15, 2012 at 7:10 PM, Joshua Bowles  wrote:
> New to Clojure (but not Lisp).
>
> Does anyone have a good sense of the interest in machine learning in Clojure
> community?
> I've seen in the last few threads some interesting posts and libraries
> related to machine learning, and there is plenty of stuff one can get from
> Java (mahout, weka, clj-ml
> [http://antoniogarrote.github.com/clj-ml/index.html]), but I'm curious to
> know if anyone here has a sense of the overall community interest.
>
> It's nice to see interesting libraries that support needed tasks for machine
> learning (I'm all for links to libraries), but what I'm really trying to get
> is a sense of the overall interest the community has in machine learning.
> For example, Python community overall has a lot of interest in scientific
> computing and machine learning. Compare this to Ruby... not that you
> couldn't provide good libraries in Ruby (for example the SciRuby project),
> but the Ruby community overall does not seem to have much interest in these
> kinds of academic pursuits.
>
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-- 
With best wishes,Alex Ott
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community interest in machine learning (?)

[Joshua Bowles]

New to Clojure (but not Lisp).

Does anyone have a good sense of the interest in machine learning in 
Clojure community?
I've seen in the last few threads some interesting posts and libraries 
related to machine learning, and there is plenty of stuff one can get from 
Java (mahout, weka, clj-ml 
[http://antoniogarrote.github.com/clj-ml/index.html]), but I'm curious to 
know if anyone here has a sense of the overall community interest. 

It's nice to see interesting libraries that support needed tasks for 
machine learning (I'm all for links to libraries), but what I'm really 
trying to get is* a sense of the overall interest the community has in 
machine learning*. For example, Python community overall has a lot of 
interest in scientific computing and machine learning. Compare this to 
Ruby... not that you couldn't provide good libraries in Ruby (for example 
the SciRuby project), but the Ruby community overall does not seem to have 
much interest in these kinds of academic pursuits.

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