Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

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2.  final def ##(): Int

   Definition Classes

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3.  final def ==(arg0: Any): Boolean

   Definition Classes

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

6.  def apply(fileName: String, name: String, key: Int, domain: String, eSep: String): MM_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., "," ";" " +")

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

   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., "," ";" " +")

8.  def apply(name: String): MM_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

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

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

11.  final def asInstanceOf[T0]: T0

    Definition Classes

    Any

12.  def clone(): AnyRef

    Attributes

    protected[java.lang]

    Definition Classes

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    Annotations

    @native() @throws( ... )

13.  def corr(r: MM_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

14.  def count(r: MM_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

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

    Definition Classes

    AnyRef

16.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

17.  def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

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    Annotations

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

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

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

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

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

22.  final def getClass(): Class[_]

    Definition Classes

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    Annotations

    @native()

23.  def hashCode(): Int

    Definition Classes

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    Annotations

    @native()

24.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

25.  def max(r: MM_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

26.  def mean(r: MM_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

27.  def min(r: MM_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

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

    Definition Classes

    AnyRef

29.  final def notify(): Unit

    Definition Classes

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    Annotations

    @native()

30.  final def notifyAll(): Unit

    Definition Classes

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    Annotations

    @native()

31.  def sum(r: MM_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

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

    Definition Classes

    AnyRef

33.  def toString(): String

    Definition Classes

    AnyRef → Any

34.  def variance(r: MM_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

35.  final def wait(): Unit

    Definition Classes

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    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @native() @throws( ... )

38.  def Ɛ(r: MM_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

39.  def Ʋ(r: MM_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