Scala: How to design the high order function?2019 Community Moderator ElectionScala vs. Groovy vs. ClojureIs the Scala 2.8 collections library a case of “the longest suicide note in history”?Ordering of parameters to make use of curryingScala type mismatch problem (expected Map, found scala.collection.mutable.HashMap)What are all the uses of an underscore in Scala?Constructors with multi-parameter or sequences in Scala?Scala Higher Order Function Little ConfusedSpark performance for Scala vs PythonHow to deal with List of currying function in ScalaScala high order functions confusion
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Scala: How to design the high order function?
2019 Community Moderator ElectionScala vs. Groovy vs. ClojureIs the Scala 2.8 collections library a case of “the longest suicide note in history”?Ordering of parameters to make use of curryingScala type mismatch problem (expected Map, found scala.collection.mutable.HashMap)What are all the uses of an underscore in Scala?Constructors with multi-parameter or sequences in Scala?Scala Higher Order Function Little ConfusedSpark performance for Scala vs PythonHow to deal with List of currying function in ScalaScala high order functions confusion
I want to design a high order function in scala which may looks like flowing:
def process(data: Seq[Double], costFun: **): Double
costFun is a function which can be used to calculate the cost of a method, since I have serval cost functions, which may have different signatures, like:
def costGauss(data: Seq[Double], scalaShift: Boolean): Double
def costKernal(data: Seq[Double], theta: Int): Double
how should I design the process function to enable that cost functions which have different signatures can be passed to it as parameter costFun?
scala currying
edited Mar 6 at 16:10
Andrey Tyukin
29.2k42350
asked Mar 6 at 15:14
xiaojia zhangxiaojia zhang
10315
add a comment |
I want to design a high order function in scala which may looks like flowing:
def process(data: Seq[Double], costFun: **): Double
costFun is a function which can be used to calculate the cost of a method, since I have serval cost functions, which may have different signatures, like:
def costGauss(data: Seq[Double], scalaShift: Boolean): Double
def costKernal(data: Seq[Double], theta: Int): Double
how should I design the process function to enable that cost functions which have different signatures can be passed to it as parameter costFun?
scala currying
edited Mar 6 at 16:10
Andrey Tyukin
29.2k42350
asked Mar 6 at 15:14
xiaojia zhangxiaojia zhang
10315
If each function has a different signature, how do you plan to call them on yourprocessfunction?
– Luis Miguel Mejía Suárez
Mar 6 at 15:15
3
it seems you don't need a higher order function but rather just partially apply the cost functions with hyperparamters before you pass them to the process
– Arnon Rotem-Gal-Oz
Mar 6 at 15:20
@ArnonRotem-Gal-Oz Thanks a lot, I thinks the partially apply is what I need.
– xiaojia zhang
Mar 6 at 15:37
add a comment |
I want to design a high order function in scala which may looks like flowing:
def process(data: Seq[Double], costFun: **): Double
costFun is a function which can be used to calculate the cost of a method, since I have serval cost functions, which may have different signatures, like:
def costGauss(data: Seq[Double], scalaShift: Boolean): Double
def costKernal(data: Seq[Double], theta: Int): Double
how should I design the process function to enable that cost functions which have different signatures can be passed to it as parameter costFun?
scala currying
edited Mar 6 at 16:10
Andrey Tyukin
29.2k42350
asked Mar 6 at 15:14
xiaojia zhangxiaojia zhang
10315
I want to design a high order function in scala which may looks like flowing:
def process(data: Seq[Double], costFun: **): Double
costFun is a function which can be used to calculate the cost of a method, since I have serval cost functions, which may have different signatures, like:
def costGauss(data: Seq[Double], scalaShift: Boolean): Double
def costKernal(data: Seq[Double], theta: Int): Double
how should I design the process function to enable that cost functions which have different signatures can be passed to it as parameter costFun?
scala currying
scala currying
edited Mar 6 at 16:10
Andrey Tyukin
29.2k42350
asked Mar 6 at 15:14
xiaojia zhangxiaojia zhang
10315
edited Mar 6 at 16:10
Andrey Tyukin
29.2k42350
asked Mar 6 at 15:14
xiaojia zhangxiaojia zhang
10315
edited Mar 6 at 16:10
Andrey Tyukin
29.2k42350
edited Mar 6 at 16:10
Andrey Tyukin
29.2k42350
edited Mar 6 at 16:10
Andrey Tyukin
29.2k42350
29.2k42350
asked Mar 6 at 15:14
xiaojia zhangxiaojia zhang
10315
asked Mar 6 at 15:14
xiaojia zhangxiaojia zhang
10315
asked Mar 6 at 15:14
xiaojia zhangxiaojia zhang
10315
10315
If each function has a different signature, how do you plan to call them on yourprocessfunction?
– Luis Miguel Mejía Suárez
Mar 6 at 15:15
3
it seems you don't need a higher order function but rather just partially apply the cost functions with hyperparamters before you pass them to the process
– Arnon Rotem-Gal-Oz
Mar 6 at 15:20
@ArnonRotem-Gal-Oz Thanks a lot, I thinks the partially apply is what I need.
– xiaojia zhang
Mar 6 at 15:37
add a comment |
If each function has a different signature, how do you plan to call them on yourprocessfunction?
– Luis Miguel Mejía Suárez
Mar 6 at 15:15
3
it seems you don't need a higher order function but rather just partially apply the cost functions with hyperparamters before you pass them to the process
– Arnon Rotem-Gal-Oz
Mar 6 at 15:20
@ArnonRotem-Gal-Oz Thanks a lot, I thinks the partially apply is what I need.
– xiaojia zhang
Mar 6 at 15:37
If each function has a different signature, how do you plan to call them on your
process function?– Luis Miguel Mejía Suárez
Mar 6 at 15:15
If each function has a different signature, how do you plan to call them on your
process function?– Luis Miguel Mejía Suárez
Mar 6 at 15:15
3
3
it seems you don't need a higher order function but rather just partially apply the cost functions with hyperparamters before you pass them to the process
– Arnon Rotem-Gal-Oz
Mar 6 at 15:20
it seems you don't need a higher order function but rather just partially apply the cost functions with hyperparamters before you pass them to the process
– Arnon Rotem-Gal-Oz
Mar 6 at 15:20
@ArnonRotem-Gal-Oz Thanks a lot, I thinks the partially apply is what I need.
– xiaojia zhang
Mar 6 at 15:37
@ArnonRotem-Gal-Oz Thanks a lot, I thinks the partially apply is what I need.
– xiaojia zhang
Mar 6 at 15:37
add a comment |
1 Answer
1
active
oldest
votes
Seems that you need just Seq[Double] => Double there:
def processData(data: Seq[Double], lossFunc: Seq[Double] => Double): Double = ???
def lossGauss(data: Seq[Double], scalaShift: Boolean): Double = ???
def lossKernel(data: Seq[Double], theta: Int): Double = ???
val data: Seq[Double] = Seq(1.0, 2.0, 3.0)
processData(data, lossGauss(_, true))
processData(data, lossKernel(_, 1234))
Even better, use multiple argument lists with currying:
def processData(data: Seq[Double], lossFunc: Seq[Double] => Double): Double = ???
def lossGauss(scalaShift: Boolean)(data: Seq[Double]): Double = ???
def lossKernel(theta: Int)(data: Seq[Double]): Double = ???
val data: Seq[Double] = Seq(1.0, 2.0, 3.0)
processData(data, lossGauss(true))
processData(data, lossKernel(1234))
And by the way: don't use Floats, especially not for tiny results that take O(1) memory. Seq[Float] => Double would make some sense, but not the other way round.
answered Mar 6 at 15:38
Andrey TyukinAndrey Tyukin
29.2k42350
Thank you ^-^. I like the curring method. and Float is mistyping, I should use Double instead.
– xiaojia zhang
Mar 6 at 15:44
add a comment |
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1 Answer
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oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Seems that you need just Seq[Double] => Double there:
def processData(data: Seq[Double], lossFunc: Seq[Double] => Double): Double = ???
def lossGauss(data: Seq[Double], scalaShift: Boolean): Double = ???
def lossKernel(data: Seq[Double], theta: Int): Double = ???
val data: Seq[Double] = Seq(1.0, 2.0, 3.0)
processData(data, lossGauss(_, true))
processData(data, lossKernel(_, 1234))
Even better, use multiple argument lists with currying:
def processData(data: Seq[Double], lossFunc: Seq[Double] => Double): Double = ???
def lossGauss(scalaShift: Boolean)(data: Seq[Double]): Double = ???
def lossKernel(theta: Int)(data: Seq[Double]): Double = ???
val data: Seq[Double] = Seq(1.0, 2.0, 3.0)
processData(data, lossGauss(true))
processData(data, lossKernel(1234))
And by the way: don't use Floats, especially not for tiny results that take O(1) memory. Seq[Float] => Double would make some sense, but not the other way round.
answered Mar 6 at 15:38
Andrey TyukinAndrey Tyukin
29.2k42350
Thank you ^-^. I like the curring method. and Float is mistyping, I should use Double instead.
– xiaojia zhang
Mar 6 at 15:44
add a comment |
Seems that you need just Seq[Double] => Double there:
def processData(data: Seq[Double], lossFunc: Seq[Double] => Double): Double = ???
def lossGauss(data: Seq[Double], scalaShift: Boolean): Double = ???
def lossKernel(data: Seq[Double], theta: Int): Double = ???
val data: Seq[Double] = Seq(1.0, 2.0, 3.0)
processData(data, lossGauss(_, true))
processData(data, lossKernel(_, 1234))
Even better, use multiple argument lists with currying:
def processData(data: Seq[Double], lossFunc: Seq[Double] => Double): Double = ???
def lossGauss(scalaShift: Boolean)(data: Seq[Double]): Double = ???
def lossKernel(theta: Int)(data: Seq[Double]): Double = ???
val data: Seq[Double] = Seq(1.0, 2.0, 3.0)
processData(data, lossGauss(true))
processData(data, lossKernel(1234))
And by the way: don't use Floats, especially not for tiny results that take O(1) memory. Seq[Float] => Double would make some sense, but not the other way round.
answered Mar 6 at 15:38
Andrey TyukinAndrey Tyukin
29.2k42350
Thank you ^-^. I like the curring method. and Float is mistyping, I should use Double instead.
– xiaojia zhang
Mar 6 at 15:44
add a comment |
Seems that you need just Seq[Double] => Double there:
def processData(data: Seq[Double], lossFunc: Seq[Double] => Double): Double = ???
def lossGauss(data: Seq[Double], scalaShift: Boolean): Double = ???
def lossKernel(data: Seq[Double], theta: Int): Double = ???
val data: Seq[Double] = Seq(1.0, 2.0, 3.0)
processData(data, lossGauss(_, true))
processData(data, lossKernel(_, 1234))
Even better, use multiple argument lists with currying:
def processData(data: Seq[Double], lossFunc: Seq[Double] => Double): Double = ???
def lossGauss(scalaShift: Boolean)(data: Seq[Double]): Double = ???
def lossKernel(theta: Int)(data: Seq[Double]): Double = ???
val data: Seq[Double] = Seq(1.0, 2.0, 3.0)
processData(data, lossGauss(true))
processData(data, lossKernel(1234))
And by the way: don't use Floats, especially not for tiny results that take O(1) memory. Seq[Float] => Double would make some sense, but not the other way round.
answered Mar 6 at 15:38
Andrey TyukinAndrey Tyukin
29.2k42350
Seems that you need just Seq[Double] => Double there:
def processData(data: Seq[Double], lossFunc: Seq[Double] => Double): Double = ???
def lossGauss(data: Seq[Double], scalaShift: Boolean): Double = ???
def lossKernel(data: Seq[Double], theta: Int): Double = ???
val data: Seq[Double] = Seq(1.0, 2.0, 3.0)
processData(data, lossGauss(_, true))
processData(data, lossKernel(_, 1234))
Even better, use multiple argument lists with currying:
def processData(data: Seq[Double], lossFunc: Seq[Double] => Double): Double = ???
def lossGauss(scalaShift: Boolean)(data: Seq[Double]): Double = ???
def lossKernel(theta: Int)(data: Seq[Double]): Double = ???
val data: Seq[Double] = Seq(1.0, 2.0, 3.0)
processData(data, lossGauss(true))
processData(data, lossKernel(1234))
And by the way: don't use Floats, especially not for tiny results that take O(1) memory. Seq[Float] => Double would make some sense, but not the other way round.
answered Mar 6 at 15:38
Andrey TyukinAndrey Tyukin
29.2k42350
answered Mar 6 at 15:38
Andrey TyukinAndrey Tyukin
29.2k42350
answered Mar 6 at 15:38
Andrey TyukinAndrey Tyukin
29.2k42350
answered Mar 6 at 15:38
Andrey TyukinAndrey Tyukin
29.2k42350
29.2k42350
Thank you ^-^. I like the curring method. and Float is mistyping, I should use Double instead.
– xiaojia zhang
Mar 6 at 15:44
add a comment |
Thank you ^-^. I like the curring method. and Float is mistyping, I should use Double instead.
– xiaojia zhang
Mar 6 at 15:44
Thank you ^-^. I like the curring method. and Float is mistyping, I should use Double instead.
– xiaojia zhang
Mar 6 at 15:44
Thank you ^-^. I like the curring method. and Float is mistyping, I should use Double instead.
– xiaojia zhang
Mar 6 at 15:44
add a comment |
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If each function has a different signature, how do you plan to call them on your
processfunction?– Luis Miguel Mejía Suárez
Mar 6 at 15:15
3
it seems you don't need a higher order function but rather just partially apply the cost functions with hyperparamters before you pass them to the process
– Arnon Rotem-Gal-Oz
Mar 6 at 15:20
@ArnonRotem-Gal-Oz Thanks a lot, I thinks the partially apply is what I need.
– xiaojia zhang
Mar 6 at 15:37