object FeatureMatrix extends LogSupport
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def
apply[T](features: Vector[Vector[T]], vectorsByRow: Boolean = true, includeScs: Boolean = false): FeatureMatrix[T]
Tabulate a matrix of features from multiple lists of data values.
Tabulate a matrix of features from multiple lists of data values.
- features
Two-dimensional Vector of data values. Values are ordered, but lists may be of different lengths.
- vectorsByRow
True if resulting matrix should be organized rows-first.
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def
asInstanceOf[T0]: T0
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clone(): AnyRef
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def
debug(message: Any, cause: Throwable): Unit
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def
debug(message: Any): Unit
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def
delimited(featureMatrix: Vector[Vector[Any]], emptyValue: String = "-", separator: String = "|"): String
Compose a delimited-text representation of a table of data options.
Compose a delimited-text representation of a table of data options.
- featureMatrix
Table of data options.
- emptyValue
String to use for None values.
- separator
String to use in separating columns of the delimited-text output.
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eq(arg0: AnyRef): Boolean
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equals(arg0: Any): Boolean
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def
error(message: Any, cause: Throwable): Unit
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def
error(message: Any): Unit
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def
fromDataTable[T](table: Vector[Vector[T]]): FeatureMatrix[T]
Create a FeatureMatrix instance from a two-dimensional table of values by converting values to Options.
Create a FeatureMatrix instance from a two-dimensional table of values by converting values to Options.
- table
Two-dimensional table of values of type T.
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def
getClass(): Class[_]
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def
hashCode(): Int
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def
info(message: Any, cause: Throwable): Unit
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def
info(message: Any): Unit
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def
isInstanceOf[T0]: Boolean
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def
labelColumns(featureStrings: Vector[Vector[String]], labels: Vector[String]): Vector[Vector[String]]
Add column labels to a table of text strings.
Add column labels to a table of text strings.
- featureStrings
Table of text strings.
- labels
List of labels to apply.
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def
labelRows(featureStrings: Vector[Vector[String]], labels: Vector[String]): Vector[Vector[String]]
Add row labels to a table of text strings.
Add row labels to a table of text strings.
- featureStrings
Table of text strings.
- labels
List of labels to apply.
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def
logAt(logLevel: LogLevel, message: Any): Unit
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lazy val
logger: Logger
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def
matrix[T](supersequence: Vector[T], features: Vector[Vector[T]], vectorsByRow: Boolean, includeScs: Boolean = false, compiled: Vector[Vector[Option[T]]]): FeatureMatrix[T]
Recursively tabulate a matrix of features from multiple lists of data values.
Recursively tabulate a matrix of features from multiple lists of data values.
- supersequence
The shortest common supersequence of all data values in features.
- features
Two-dimensional Vector of data values. Values are ordered, but lists may be of different lengths.
- vectorsByRow
True if resulting matrix should be organized rows-first.
- compiled
Cumulative tabulation so far.
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ne(arg0: AnyRef): Boolean
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def
notify(): Unit
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def
notifyAll(): Unit
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def
stringTable(featureMatrix: Vector[Vector[Any]], emptyValue: String = "-"): Vector[Vector[String]]
Compose a table of String values from a table of values of possibly mixed type.
Compose a table of String values from a table of values of possibly mixed type.
- featureMatrix
Two-dimensional matrix of features (Options).
- emptyValue
String to use for occurrences of None.
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def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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def
trace(message: Any, cause: Throwable): Unit
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def
trace(message: Any): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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warn(message: Any, cause: Throwable): Unit
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def
warn(message: Any): Unit
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(Since version ) see corresponding Javadoc for more information.