object Facet
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- def field(field: String, type: String = "quantitative", bin: Either[Boolean, JsObject] = Left(false), timeUnit: String = "", align: String = "all", center: Boolean = false, spacing: Option[Int] = None): JsObject
Returns a facet field Definition.
Returns a facet field Definition.
- field
A string defining the name of the field from which to pull a data value or an object defining iterated values from the repeat operator.
- bin
A flag for binning a quantitative field.
- If true, default binning parameters will be applied.
- If "binned", this indicates that the data for the x (or y) channel are already binned.
- timeUnit
Time unit (e.g., year, yearmonth, month, hours) for a temporal field, or a temporal field that gets casted as ordinal.
- align
The alignment to apply to row/column facet’s subplot. The supported string values are "all", "each", and "none".
- For "none", a flow layout will be used, in which adjacent subviews are simply placed one after the other.
- For "each", subviews will be aligned into a clean grid structure, but each row or column may be of variable size.
- For "all", subviews will be aligned and each row or column will be sized identically based on the maximum observed size. String values for this property will be applied to both grid rows and columns.
- center
Boolean flag indicating if facet’s subviews should be centered relative to their respective rows or columns.
- spacing
The spacing in pixels between facet’s sub-views.
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Smile (Statistical Machine Intelligence and Learning Engine) is a fast and comprehensive machine learning, NLP, linear algebra, graph, interpolation, and visualization system in Java and Scala. With advanced data structures and algorithms, Smile delivers state-of-art performance.
Smile covers every aspect of machine learning, including classification, regression, clustering, association rule mining, feature selection, manifold learning, multidimensional scaling, genetic algorithms, missing value imputation, efficient nearest neighbor search, etc.