Operations

Operations are functions that can be applied to one or more columns of a table to produce new Virtual columns. Filtering and sorting on these virtual columns can give you deeper insights into your model and training set and help you find issues with your data, your model, or perhaps your entire approach to the problem at hand. The exact operations available will depend on the type of data in the selected columns. In general we can divide operations into two main categories: Global operations and Local operations.

Global operations

Global operations need the full context of every row of its input columns to produce a result for any individual row. The Occurrences operation, which counts the number of times each value(s) occur in one or more columns, is an example of a global operation. A complete list of the available global operations, along with their input requirements, can be seen below.

Operation	Input Type	Output type	Description
Traversal index	Any	Number	Traversal index maximizing the walk within the input column coordinate space
Cluster by threshold	Any	Number	Groups data points by specified distance threshold.
Rank	Any	Number	The rank of each row, as sorted by the input value(s)
Group	Any	Same as input	Group index shared by all rows with the same value(s) in the input column(s)
Nearest neighbor	Numbers	Number	Distance to closest neighbor within the input column coordinate space
Derivative	Numbers	Numbers	For a numeric input column evolving over time, this operation returns the difference between the next value and the previous one, divided by two (and handling first and last values appropriately).
Deviation	Numbers	Numbers	For a numeric input column evolving over time, this operation returns the difference between a value and the average between the next and previous one.
From previous	Numbers	Numbers	For a numeric input column evolving over time, this operation returns the difference between this value and the previous one.
To next	Numbers	Numbers	For a numeric input column evolving over time, this operation returns the difference between the next value and the current one.
Occurrence	Any	Number	Number of columns with the same value(s) in the input column(s)
Primary element	Any	Boolean	Whether an element is first in a group or not
Normalize	Number	Number	Normalizes the column so that its sum is 1.
In foreign table	Number	Boolean	Whether the row is present in a foreign table
Run constants	Number	Any	The entire ‘constants’ structure of the referenced Run
Foreign table row	Number	Any	The entire row of a foreign table, as referenced by a foreign key in the input table row
Foreign table row edited	Number	Boolean	Whether the foreign table row has any pending edits
Index	None	Number	Row index within table

Local operations

Local operations only need the context of a single row to produce a result. We can further subdivide local operations into three categories: Unary operations, Order-independent operations, and Order-dependent operations.

Unary operations

Unary operations take a single column as input, and produce a result for each row in that column. The Character count operation, which returns the length of a string, is an example of a unary operation. A complete list of the available unary operations, along with their input requirements, can be seen below.

Operation	Input Type	Output type	Description
Pick[0]	Any	Any	A single element picked from an array.
PickProperty_ANWJ	Any	Any	A child property picked from a composite property.
Pick random	Any	Any	A random element picked from the input array (if any)
Abs	Number	Number	The absolute value of the numeric input value
Character count	String	Number	The number of characters in the input string (including whitespace).
Log	Number	Number	The log value of the numeric input value
Non-zero	Numbers	Boolean	Whether the numeric input value is non-zero
Not	Any	Boolean	The boolean ‘not’ of the input value(s)
Sign	Number	Number	The sign (i.e. -1, 0, or 1) of the input value(s).
Inverse	Number	Number	The inverse (i.e. 1/x) of the input value(s).
Raw	Any	Same as input	The raw value of the input property, i.e. with value maps and/or string roles removed from the schema (recursive when required)
Word count	String	Number	The number of words in the input string
Zero	Number	Boolean	Whether the numeric input value is zero
* A	Numbers	Numbers	An input value multiplied by a constant number.
+ A	Numbers	Numbers	An input value with an added constant value.
^ A	Numbers	Numbers	An input value raised to a constant power.
Overlap ratio	Bounding boxes	Numbers	Quotient stating how much one bounding box is overlapped by others within an image
Unique overlap ratio	Bounding boxes	Numbers	Quotient stating how much one bounding box is uniquely overlapped by others within an image
Rectangles (absolute)	Bounding boxes	Rectangles	The rectangle geometry of the bounding box list (in absolute min/max pixel coordinates)
Rectangles (relative)	Bounding boxes	Rectangles	The rectangle geometry of the bounding box list (in min/max coordinates relative to the reference image size)
Area	Rectangles	Numbers	The area of each rectangle within the input list
Aspect	Rectangles	Numbers	The aspect (i.e. width divided by height) of each rectangle within the input list
Width	Rectangles	Numbers	The width of each rectangle within the input list
Height	Rectangles	Numbers	The height of each rectangle within the input list
Week since epoch	Datetime string	Number	For input datetime string, returns the week since epoch.
Hour of day	Datetime string	Number	For input datetime string, returns the hour [0..23].
Day of week	Datetime string	Number	For input datetime string, returns the day of week.
Milliseconds since epoch	Datetime string	Number	For an input datetime string, returns the number of milliseconds since epoch.
ConstantBool	None	Boolean	A constant boolean value
ConstantInt	None	Number	A constant integer value
ConstantFloat	None	Number	A constant floating point value
ConstantString	None	String	A constant string value

Order-independent operations

Order-independent operations take two or more columns as input, and produce a result for each row in those columns. The order of the input columns does not matter. The Sum operation, which adds two or more columns together, is an example of an order-independent operation. A complete list of the available order-independent operations, along with their input requirements, can be seen below.

Operation	Input Type	Output type	Description
Sum	Numbers	Number	The sum of all numeric input values
Average	Numbers	Number	The arithmetic average of the numeric input values.
Common	Any	Any	The common value within the input array (if any)
Count	String	Number	The number of elements within the input array.
Length	Numbers	Number	The length of the input values (i.e. the square root of the sum of the squares of the input values)
Equal	Any	Boolean	Whether all input values are equal.
Not equal	Any	Boolean	Whether some of the input values differ.
Max	Numbers	Number	The largest numeric value of all input values
Min	Numbers	Number	The smallest numeric value of all input values
Multiply	Numbers	Number	The product of all numeric input values.
Range	Numbers	Number	The absolute range (i.e. ‘max value - min value’) across all numeric input values.
Unique	Any	Any	A list of all unique input values (i.e. with duplicates removed)
Sort	Numbers	Numbers	The input vector, sorted in ascending order
Median	Numbers	Number	The median of the input vector
Normalize	Numbers	Numbers	The input vector in normalized form

Order-dependent operations

Order-dependent operations take two or more columns as input, and produce a result for each row in those columns. The order of the input columns affects the results of these operations. The “Subtract” operation, which subtracts one or more columns from another, is an example of an order-dependent operation. A complete list of the available order-dependent operations, along with their input requirements, can be seen below.

Operation	Input Type	Output type	Description
Divide	Numbers	Number	The first value divided by the next. In the case of more terms than two, each subsequent term is used as a divisor
To string	Any	String	The input value(s) converted to a string. In the case of multiple input columns, values are comma separated. In the case of nested input columns, the values are represented as JSON.
Hash	Any	Number	A numeric hash value calculated from all input values (including scalars, nested inputs and arrays
Subtract	Numbers	Number	The first numeric input value minus all following ones.
Delta	Numbers	Number	The difference between one column and the next (i.e. ‘next value - this value’
IoU	Bounding boxes	Numbers	For each bounding box in the first column, the maximum intersection-over-union against any bounding box in the second column
TP	Bounding boxes	Boolean	Whether each predicted bounding box is a True Positive, i.e. has a corresponding ground truth bounding box.
FP	Bounding boxes	Boolean	Whether each predicted bounding box is a False Positive, i.e. has no corresponding ground truth bounding box.
FN	Bounding boxes	Boolean	Whether each ground truth bounding box is a False Negative, i.e. has no corresponding predicted bounding box.
Greater than or equal	Numbers	Boolean	Whether each value is greater than or equal to the next.
Greater than	Numbers	Boolean	Whether each value is greater than the next.
Less than or equal	Numbers	Boolean	Whether each value is less than or equal to than the next.
Less than	Numbers	Boolean	Whether each value is less than the next.