| Modifier and Type | Class and Description |
|---|---|
class |
NDArrayMathFunctionTransform
A simple transform to do common mathematical operations, such as sin(x), ceil(x), etc.
|
class |
NDArrayScalarOpTransform
Perform an NDArray/scalar element wise operation, such as X.addi(scalar).
|
| Modifier and Type | Class and Description |
|---|---|
class |
IntegerToCategoricalTransform
Convert an integer column to a categorical column, using a provided
Map<Integer,String> |
class |
StringToCategoricalTransform
Convert a String column
to a categorical column
|
| Modifier and Type | Class and Description |
|---|---|
class |
BaseDoubleTransform |
class |
ConvertToDouble
Convert any value to an Double
|
class |
DoubleMathFunctionTransform
A simple transform to do common mathematical operations, such as sin(x), ceil(x), etc.
|
class |
DoubleMathOpTransform
Double mathematical operation.
|
class |
Log2Normalizer
Normalize by taking scale * log2((in-columnMin)/(mean-columnMin) + 1)
Maps values in range (columnMin to infinity) to (0 to infinity)
Most suitable for values with a geometric/negative exponential type distribution.
|
class |
MinMaxNormalizer
Normalizer to map (min to max) -> (newMin-to newMax) linearly.
|
class |
StandardizeNormalizer
Normalize using (x-mean)/stdev.
|
class |
SubtractMeanNormalizer
Normalize by substracting the mean
|
| Modifier and Type | Class and Description |
|---|---|
class |
BaseFloatTransform |
class |
ConvertToFloat
Convert any value to a Float
|
class |
FloatMathFunctionTransform
A simple transform to do common mathematical operations, such as sin(x), ceil(x), etc.
|
class |
FloatMathOpTransform
Float mathematical operation.
|
| Modifier and Type | Class and Description |
|---|---|
class |
IPAddressToCoordinatesTransform
Uses GeoIP2 from http://www.maxmind.com
to convert IP addresses to (approximate) coordinates (latitude:longitude).
|
class |
IPAddressToLocationTransform
Uses GeoIP2 from http://www.maxmind.com
to convert IP addresses to (approximate) locations.
|
| Modifier and Type | Class and Description |
|---|---|
class |
BaseIntegerTransform
Abstract integer transformation (single column)
|
class |
ConvertToInteger
Convert any value to an Integer.
|
class |
IntegerMathOpTransform
Integer mathematical operation.
|
class |
ReplaceEmptyIntegerWithValueTransform
Replace an empty/missing integer with a certain value.
|
class |
ReplaceInvalidWithIntegerTransform
Replace an invalid (non-integer) value in a column with a specified integer
|
| Modifier and Type | Class and Description |
|---|---|
class |
LongMathOpTransform
Long mathematical operation.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AppendStringColumnTransform
Append a String to the
values in a single column
|
class |
BaseStringTransform
Abstract String column transform
|
class |
ChangeCaseStringTransform
Change case (to, e.g, all lower case) of String column.
|
class |
ConvertToString
Convert any value to a string.
|
class |
MapAllStringsExceptListTransform
This method maps all String values, except those is the specified list, to a single String value
|
class |
RemoveWhiteSpaceTransform
String transform that removes all whitespace charaters
|
class |
ReplaceEmptyStringTransform
Replace empty String values with the specified String
|
class |
ReplaceStringTransform
Replaces String values that match regular expressions.
|
class |
StringMapTransform
A simple String -> String map function.
|
| Modifier and Type | Class and Description |
|---|---|
class |
StringToTimeTransform
Convert a String column to a time column by parsing the date/time String, using a JodaTime.
|
class |
TimeMathOpTransform
Transform math op on a time column
Note: only the following MathOps are supported: Add, Subtract, ScalarMin, ScalarMax
For ScalarMin/Max, the TimeUnit must be milliseconds - i.e., value must be in epoch millisecond format |
| Modifier and Type | Class and Description |
|---|---|
class |
GazeteerTransform
A gazeteer is a work lookup table
based on a word list.
|
class |
MultiNlpTransform
A multi NLP transform takes in 1 or more bag of words transforms as a pipeline
and runs them in sequence.
|
class |
TokenizerBagOfWordsTermSequenceIndexTransform
This transform takes in a list of words
and outputs a single vector where that vector is of size
number of words in the vocab.
|
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