Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Definition Classes

   AnyRef → Any

3.  final def ==(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

4.  def apply(fileName: String, name: String): Relation

   Read the relation with the given 'name' into memory from a JSON file.

   Read the relation with the given 'name' into memory from a JSON file.

   fileName

   the file name of the JSON file

   name

   the name of the relation to load

5.  def apply(fileName: String, key: Int, domain: String): Relation

   Read the relation with the given 'name' into memory loading its columns with data from the '.arff' file named 'fileName'.

   Read the relation with the given 'name' into memory loading its columns with data from the '.arff' file named 'fileName'.

   fileName

   the file name of the data file

   key

   the column number for the primary key (< 0 => no primary key)

   domain

   an optional string indicating domains for columns (e.g., 'SD' = 'StrNum', 'Double')

6.  def apply(fileName: String, name: String, colName: Seq[String], key: Int, domain: String): Relation

   Read the relation with the given 'name' into memory loading its columns with data from the CSV file named 'fileName'.

   Read the relation with the given 'name' into memory loading its columns with data from the CSV file named 'fileName'. This version assumes defaults for 'eSep' and 'skip' of ("," and 0).

   fileName

   the file name of the data file

   name

   the name of the relation

   colName

   the names of columns

   key

   the column number for the primary key (< 0 => no primary key)

   domain

   an optional string indicating domains for columns (e.g., 'SD' = 'StrNum', 'Double')

7.  def apply(fileName: String, name: String, domain: String, key: Int, eSep: String = ","): Relation

   Read the relation with the given 'name' into memory loading its columns with data from the CSV file named 'fileName'.

   Read the relation with the given 'name' into memory loading its columns with data from the CSV file named 'fileName'. In this version, the column names are read from the first line of the file. It uses 'col2' which is a temporary ReArray, and maintains indices.

   fileName

   the file name of the data file

   name

   the name of the relation

   domain

   an optional string indicating domains for columns (e.g., 'SD' = 'StrNum', 'Double')

   key

   the column number for the primary key (< 0 => no primary key)

   eSep

   the element separation string/regex (e.g., "," ";" " +")

8.  def apply(fileName: String, name: String, key: Int, domain: String, eSep: String, cPos: Seq[Int]): Relation

   Read the relation with the given 'name' into memory loading its columns with data from the CSV file named 'fileName'.

   Read the relation with the given 'name' into memory loading its columns with data from the CSV file named 'fileName'. In this version, the column names are read from the first line of the file.

   fileName

   the file name of the data file

   name

   the name of the relation

   key

   the column number for the primary key (< 0 => no primary key)

   domain

   an optional string indicating domains for columns (e.g., 'SD' = 'StrNum', 'Double')

   eSep

   the element separation string/regex (e.g., "," ";" " +")

   cPos

   the sequence of column positions in the input file to be used (null => select all)

9.  def apply(fileName: String, name: String, colName: Seq[String], key: Int, domain: String, skip: Int, eSep: String): Relation

   Read the relation with the given 'name' into memory loading its columns with data from the CSV file named 'fileName'.

   Read the relation with the given 'name' into memory loading its columns with data from the CSV file named 'fileName'. Note: "ln.split (eSep, -1)" will keep all values even if empty "one_{three" -> "one","",three"}

   fileName

   the file name of the data file

   name

   the name of the relation

   colName

   the names of columns

   key

   the column number for the primary key (< 0 => no primary key)

   domain

   an optional string indicating domains for columns (e.g., 'SD' = 'StrNum', 'Double')

   skip

   the number of lines in the CSV file to skip (e.g., header line(s))

   eSep

   the element separation string/regex (e.g., "," ";" " +")

10.  def apply(name: String): Relation

    Read the relation with the given 'name' into memory using serialization.

    Read the relation with the given 'name' into memory using serialization.

    name

    the name of the relation to load

11.  def apply(name: String, colName: Seq[String], row: Seq[Row], key: Int): Relation

    Create a relation from a sequence of row/tuples.

    Create a relation from a sequence of row/tuples. These rows must be converted to columns.

    name

    the name of the relation

    colName

    the names of columns

    row

    the sequence of rows to be converted to columns for the columnar relation

    key

    the column number for the primary key (< 0 => no primary key)

12.  def apply(name: String, colName: Seq[String], row: Seq[Row], key: Int, domain: String): Relation

    Create a relation from a sequence of row/tuples.

    Create a relation from a sequence of row/tuples. These rows must be converted to columns.

    name

    the name of the relation

    colName

    the names of columns

    row

    the sequence of rows to be converted to columns for the columnar relation

    key

    the column number for the primary key (< 0 => no primary key)

    domain

    an optional string indicating domains for columns (e.g., 'SD' = 'StrNum', 'Double')

13.  def apply(name: String, key: Int, domain: String, colName: String*): Relation

    Create an unpopulated relation.

    Create an unpopulated relation.

    name

    the name of the relation

    key

    the column number for the primary key (< 0 => no primary key)

    domain

    an optional string indicating domains for columns (e.g., 'SD' = 'StrNum', 'Double')

    colName

    the names of columns

14.  final def asInstanceOf[T0]: T0

    Definition Classes

    Any

15.  def avg(r: Relation, cName: String): Vec

    Get a Vec of average of the 'cName' column for the 'r' relation.

    Get a Vec of average of the 'cName' column for the 'r' relation.

    r

    the relation you want to operate on

    cName

    average on column "cName"

16.  def clone(): AnyRef

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @native() @throws( ... )

17.  def corr(r: Relation, i: Int = 0, j: Int = 1): Double

    Compute the correlation of column 'i' and 'j' within columnar relation 'r'.

    Compute the correlation of column 'i' and 'j' within columnar relation 'r'.

    r

    the given relation

    i

    the first column vector

    j

    the second column vector

18.  def count(r: Relation, cName: String): Vec

    Get a Vec of count of the 'cName' column for the 'r' relation.

    Get a Vec of count of the 'cName' column for the 'r' relation.

    r

    the relation you want to operate on

    cName

    the column name for the column to be counted

19.  def count(r: Relation): Seq[Any]

    Return the count (number of elements) of each of the columns of columnar relation 'r'.

    Return the count (number of elements) of each of the columns of columnar relation 'r'.

    r

    the given relation

20.  final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

21.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

22.  def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

23.  final def flaw(method: String, message: String): Unit

    Definition Classes

    Error

24.  def from(relations: Relation*): Relation

    From function return cartesian product of all the relations.

    From function return cartesian product of all the relations.

    relations

    the relations making up the from clause

25.  def fromMatriD(xy: MatriD, name: String, colName: Seq[String], key: Int = -1, domain: String = null): Relation

    Create a relation from the 'xy' matrix of doubles.

    Create a relation from the 'xy' matrix of doubles.

    xy

    the matrix containing the data

    name

    the name of the relation

    colName

    the names of columns

    key

    the column number for the primary key (< 0 => no primary key)

    domain

    an optional string indicating domains for columns (e.g., 'SD' = 'StrNum', 'Double')

26.  def fromMatriD_(x: MatriD, y: Vec, name: String, colName: Seq[String], key: Int = -1, domain: String = null): Relation

    Create a relation from the 'x' matrix of doubles and 'y' vector of doubles or integers.

    Create a relation from the 'x' matrix of doubles and 'y' vector of doubles or integers.

    x

    the matrix containing the data

    y

    the vector containing the data

    name

    the name of the relation

    colName

    the names of columns

    key

    the column number for the primary key (< 0 => no primary key)

    domain

    an optional string indicating domains for columns (e.g., 'SD' = 'StrNum', 'Double')

27.  def fromMatriI(xy: MatriI, name: String, colName: Seq[String], key: Int = -1, domain: String = null): Relation

    Create a relation from the 'xy' matrix of integers.

    Create a relation from the 'xy' matrix of integers.

    xy

    the matrix containing the data

    name

    the name of the relation

    colName

    the names of columns

    key

    the column number for the primary key (< 0 => no primary key)

    domain

    an optional string indicating domains for columns (e.g., 'SD' = 'StrNum', 'Double')

28.  def fromMatriII(x: MatriI, y: VectorI, name: String, colName: Seq[String], key: Int = -1, domain: String = null): Relation

    Create a relation from the 'xy' matrix of integers and 'y' vector of integers.

    Create a relation from the 'xy' matrix of integers and 'y' vector of integers.

    x

    the matrix containing the data

    y

    the vector containing the data

    name

    the name of the relation

    colName

    the names of columns

    key

    the column number for the primary key (< 0 => no primary key)

    domain

    an optional string indicating domains for columns (e.g., 'SD' = 'StrNum', 'Double')

29.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

30.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

31.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

32.  def max(r: Relation, cName: String): Vec

    Get a Vec of max of the 'cName' column for the 'r' relation.

    Get a Vec of max of the 'cName' column for the 'r' relation.

    r

    the relation you want to operate on

    cName

    max on column "cName"

33.  def max(r: Relation): Seq[Any]

    Return the maximum of each of the columns of columnar relation 'r'.

    Return the maximum of each of the columns of columnar relation 'r'.

    r

    the given relation

34.  def mean(r: Relation): Seq[Any]

    Compute the mean of each of the columns of columnar relation 'r'.

    Compute the mean of each of the columns of columnar relation 'r'.

    r

    the given relation

35.  def min(r: Relation, cName: String): Vec

    Get a Vec of min of the 'cName' column for the 'r' relation

    Get a Vec of min of the 'cName' column for the 'r' relation

    r

    the relation you want to operate on

    cName

    min on column "cName"

36.  def min(r: Relation): Seq[Any]

    Return the minimum of each of the columns of columnar relation 'r'.

    Return the minimum of each of the columns of columnar relation 'r'.

    r

    the given relation

37.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

38.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

39.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

40.  def sum(r: Relation, cName: String): Vec

    Get a Vec of sum of the 'cName' column for the 'r' relation base on each group, the result will be the same size.

    Get a Vec of sum of the 'cName' column for the 'r' relation base on each group, the result will be the same size.

    r

    the relation to operate on

    cName

    sum on column "cName"

41.  def sum(r: Relation): Seq[Any]

    Compute the mean of each of the columns of columnar relation 'r'.

    Compute the mean of each of the columns of columnar relation 'r'.

    r

    the given relation

42.  final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes

    AnyRef

43.  def toString(): String

    Definition Classes

    AnyRef → Any

44.  def variance(r: Relation): Seq[Any]

    Compute the variance of each of the columns of columnar relation 'r'.

    Compute the variance of each of the columns of columnar relation 'r'.

    r

    the given relation

45.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

46.  final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

47.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @native() @throws( ... )

48.  def Ɛ(r: Relation): Seq[Any]

    Compute the mean of each of the columns of columnar relation 'r'.

    Compute the mean of each of the columns of columnar relation 'r'.

    r

    the given relation

49.  def Ʋ(r: Relation): Seq[Any]

    Compute the variance of each of the columns of columnar relation 'r'.

    Compute the variance of each of the columns of columnar relation 'r'.

    r

    the given relation