object SparseVectorD extends Serializable
The SparseVectorD
object is the companion object for the SparseVectorD
class.
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Type Members
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type
RowMap = SortedLinkedHashMap[Int, Double]
Shorthand type definition for sparse vector
Value Members
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def
++(b: Double, u: SparseVectorD): SparseVectorD
Concatenate scalar 'b' and vector 'u'.
Concatenate scalar 'b' and vector 'u'.
- b
the scalar to be concatenated - first part
- u
the vector to be concatenated - second part
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def
apply(xs: Array[String], skip: Int): SparseVectorD
Create a
SparseVectorD
from an array ofString
s, skipping the first 'skip' elements.Create a
SparseVectorD
from an array ofString
s, skipping the first 'skip' elements. If an element is non-numeric, use its hashcode. FIX: Might be better to map non-numericString
s to ordinal values.- xs
the array of the
String
s- skip
the number of elements at the beginning to skip (e.g., id column)
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def
apply(xs: Array[String]): SparseVectorD
Create a
SparseVectorD
from an array ofString
s.Create a
SparseVectorD
from an array ofString
s.- xs
the array of the
String
s
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def
apply(x: String, xs: String*): SparseVectorD
Create a
SparseVectorD
from one or more values (repeated valuesString
*).Create a
SparseVectorD
from one or more values (repeated valuesString
*).- x
the first
String
- xs
the rest of the
String
s
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def
apply(xs: Seq[Double]): SparseVectorD
Create a
SparseVectorD
from a sequence ofDouble
s.Create a
SparseVectorD
from a sequence ofDouble
s.- xs
the sequence of the Double numbers
-
def
apply(x: Double, xs: Double*): SparseVectorD
Create a
SparseVectorD
from one or more values (repeated valuesDouble
*).Create a
SparseVectorD
from one or more values (repeated valuesDouble
*).- x
the first
Double
number- xs
the rest of the
Double
numbers
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def
range(start: Int, end: Int): SparseVectorD
Return a
SparseVectorD
containing a sequence of increasing integers in a range.Return a
SparseVectorD
containing a sequence of increasing integers in a range.- start
the start value of the vector, inclusive
- end
the end value of the vector, exclusive (i.e., the first value not returned)