| Modifier and Type | Class and Description |
|---|---|
class |
NDArrayMathFunctionTransform
A simple transform to do common mathematical operations, such as sin(x), ceil(x), etc.
Operations are performed element-wise on each value in the INDArray; operations are specified by MathFunction |
class |
NDArrayScalarOpTransform
Perform an NDArray/scalar element wise operation, such as X.addi(scalar).
|
| Modifier and Type | Class and Description |
|---|---|
class |
BaseColumnTransform
Map the values in a single column to new values.
|
| Modifier and Type | Class and Description |
|---|---|
class |
CategoricalToIntegerTransform
Created by Alex on 4/03/2016.
|
class |
CategoricalToOneHotTransform
Created by Alex on 4/03/2016.
|
class |
FirstDigitTransform
FirstDigitTransform converts a column to a categorical column, with values being the first digit of the number.
For example, "3.1415" becomes "3" and "2.0" becomes "2". Negative numbers ignore the sign: "-7.123" becomes "7". Note that two FirstDigitTransform.Modes are supported, which determines how non-numerical entries should be handled:EXCEPTION_ON_INVALID: output has 10 category values ("0", ..., "9"), and any non-numerical values result in an exception INCLUDE_OTHER_CATEGORY: output has 11 category values ("0", ..., "9", "Other"), all non-numerical values are mapped to "Other" FirstDigitTransform is useful (combined with CategoricalToOneHotTransform and Reductions) to implement
Benford's law. |
class |
IntegerToCategoricalTransform
Convert an integer column to a categorical column, using a provided
Map<Integer,String> |
class |
PivotTransform
Pivot transform operates on two columns:
- a categorical column that operates as a key, and
- Another column that contains a value
Essentially, Pivot transform takes keyvalue pairs and breaks them out into separate columns.
|
class |
StringToCategoricalTransform
Convert a String column
to a categorical column
|
| Modifier and Type | Class and Description |
|---|---|
class |
RemoveAllColumnsExceptForTransform
Transform that removes all columns except
for those that are explicitly
specified as ones to keep
To specify only the columns
to remove, use
RemoveColumnsTransform |
class |
RemoveColumnsTransform
Remove the specified columns from the data.
|
| 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.
Operations are specified by MathFunction |
class |
DoubleMathOpTransform
Double mathematical operation.
This is an in-place operation of the double column value and a double scalar. |
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.
Operations are specified by MathFunction |
class |
FloatMathOpTransform
Float mathematical operation.
This is an in-place operation of the float column value and a float scalar. |
| 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.
This is an in-place operation of the integer column value and an integer scalar. |
class |
IntegerToOneHotTransform
Convert an integer column to a set of one-hot columns.
|
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.
This is an in-place operation of the long column value and an long scalar. |
| Modifier and Type | Class and Description |
|---|---|
class |
ParseDoubleTransform
Convert string writables to doubles
|
| 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 |
ConcatenateStringColumns
Concatenate values of one or more String columns into
a new 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 |
StringListToCategoricalSetTransform
Convert a delimited String to a list of binary categorical columns.
|
class |
StringListToCountsNDArrayTransform
Converts String column into a bag-of-words (BOW) represented as an NDArray of "counts."
Note that the original column is removed in the process |
class |
StringListToIndicesNDArrayTransform
Converts String column into a sparse bag-of-words (BOW)
represented as an NDArray of indices.
|
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
|
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