Uses of Interface
com.yahoo.tensor.Tensor

Packages that use Tensor

Package	Description
com.yahoo.tensor	Tensor data types
com.yahoo.tensor.evaluation	Tensor data types
com.yahoo.tensor.functions	Tensor function evaluation
com.yahoo.tensor.serialization

Uses of Tensor in com.yahoo.tensor

Classes in com.yahoo.tensor that implement Tensor

Modifier and Type	Class	Description
class	IndexedTensor	An indexed (dense) tensor.
class	MappedTensor	A sparse implementation of a tensor backed by a Map of cells to values.
class	MixedTensor	A mixed tensor type.

Methods in com.yahoo.tensor that return Tensor

Modifier and Type	Method	Description
default Tensor	Tensor.add(Tensor argument)
default Tensor	Tensor.approxEqual(Tensor argument)
default Tensor	Tensor.argmax(String dimension)
default Tensor	Tensor.argmin(String dimension)
default Tensor	Tensor.atan2(Tensor argument)
default Tensor	Tensor.avg()
default Tensor	Tensor.avg(String dimension)
default Tensor	Tensor.avg(List<String> dimensions)
default Tensor	Tensor.bit(Tensor argument)
Tensor	Tensor.Builder.build()
default Tensor	Tensor.cellCast(TensorType.Value valueType)
default Tensor	Tensor.concat(double argument, String dimension)
default Tensor	Tensor.concat(Tensor argument, String dimension)
default Tensor	Tensor.count()
default Tensor	Tensor.count(String dimension)
default Tensor	Tensor.count(List<String> dimensions)
static Tensor	Tensor.diag(TensorType type)
default Tensor	Tensor.divide(Tensor argument)
default Tensor	Tensor.equal(Tensor argument)
default Tensor	Tensor.expand(String dimension)
default Tensor	Tensor.fmod(Tensor argument)
static Tensor	Tensor.from(double value)	Returns a double as a tensor: A dimensionless tensor containing the value as its cell
static Tensor	Tensor.from(TensorType type, String tensorString)	Returns a tensor instance containing the given data on the tensor literal form.
static Tensor	Tensor.from(String tensorString)	Returns a tensor instance containing the given data on the tensor literal form.
static Tensor	Tensor.from(String tensorType, String tensorString)	Returns a tensor instance containing the given data on the tensor literal form.
static Tensor	Tensor.generate(TensorType type, Function<List<Long>,Double> valueSupplier)
default Tensor	Tensor.hamming(Tensor argument)
default Tensor	Tensor.join(Tensor argument, DoubleBinaryOperator combinator)
default Tensor	Tensor.l1Normalize(String dimension)
default Tensor	Tensor.l2Normalize(String dimension)
default Tensor	Tensor.larger(Tensor argument)
default Tensor	Tensor.largerOrEqual(Tensor argument)
default Tensor	Tensor.ldexp(Tensor argument)
default Tensor	Tensor.map(DoubleUnaryOperator mapper)
default Tensor	Tensor.matmul(Tensor argument, String dimension)
default Tensor	Tensor.max()
default Tensor	Tensor.max(Tensor argument)
default Tensor	Tensor.max(String dimension)
default Tensor	Tensor.max(List<String> dimensions)
default Tensor	Tensor.median()
default Tensor	Tensor.median(String dimension)
default Tensor	Tensor.median(List<String> dimensions)
default Tensor	Tensor.merge(Tensor argument, DoubleBinaryOperator combinator)
default Tensor	Tensor.min()
default Tensor	Tensor.min(Tensor argument)
default Tensor	Tensor.min(String dimension)
default Tensor	Tensor.min(List<String> dimensions)
default Tensor	Tensor.modify(DoubleBinaryOperator op, Map<TensorAddress,Double> cells)	Returns a new tensor where existing cells in this tensor have been modified according to the given operation and cells in the given map.
default Tensor	Tensor.multiply(Tensor argument)
default Tensor	Tensor.notEqual(Tensor argument)
static Tensor	Tensors.packBits(Tensor tensor)	Converts any tensor into one where each consecutive 8 values in the dense dimension are packed into a single byte, by setting a bit to 1 when the tensor has a positive value and 0 otherwise.
default Tensor	Tensor.pow(Tensor argument)
default Tensor	Tensor.prod()
default Tensor	Tensor.prod(String dimension)
default Tensor	Tensor.prod(List<String> dimensions)
static Tensor	Tensor.random(TensorType type)
static Tensor	Tensor.range(TensorType type)
default Tensor	Tensor.reduce(Reduce.Aggregator aggregator, String... dimensions)	Aggregates cells over a set of dimensions, or over all dimensions if no dimensions are specified
default Tensor	Tensor.reduce(Reduce.Aggregator aggregator, List<String> dimensions)	Aggregates cells over a set of dimensions, or over all dimensions if no dimensions are specified
Tensor	IndexedTensor.remove(Set<TensorAddress> addresses)
Tensor	MappedTensor.remove(Set<TensorAddress> addresses)
Tensor	MixedTensor.remove(Set<TensorAddress> addresses)
Tensor	Tensor.remove(Set<TensorAddress> addresses)	Returns a new tensor where existing cells in this tensor have been removed according to the given set of addresses.
default Tensor	Tensor.rename(String fromDimension, String toDimension)
default Tensor	Tensor.rename(List<String> fromDimensions, List<String> toDimensions)
default Tensor	Tensor.smaller(Tensor argument)
default Tensor	Tensor.smallerOrEqual(Tensor argument)
default Tensor	Tensor.softmax(String dimension)
default Tensor	Tensor.subtract(Tensor argument)
default Tensor	Tensor.sum()
default Tensor	Tensor.sum(String dimension)
default Tensor	Tensor.sum(List<String> dimensions)
static Tensor	Tensors.toSparse(Tensor tensor, String... dimensions)	Converts the given dimensions from dense to sparse.
Tensor	MappedTensor.withType(TensorType other)
Tensor	MixedTensor.withType(TensorType other)
Tensor	Tensor.withType(TensorType type)	Returns this tensor with the given type if types are compatible
default Tensor	Tensor.xwPlusB(Tensor w, Tensor b, String dimension)

Methods in com.yahoo.tensor with parameters of type Tensor

Modifier and Type	Method	Description
default Tensor	Tensor.add(Tensor argument)
default Tensor	Tensor.approxEqual(Tensor argument)
default Tensor	Tensor.atan2(Tensor argument)
default Tensor	Tensor.bit(Tensor argument)
default Tensor	Tensor.concat(Tensor argument, String dimension)
default Tensor	Tensor.divide(Tensor argument)
default Tensor	Tensor.equal(Tensor argument)
static boolean	Tensor.equals(Tensor a, Tensor b)	Implemented here to make this work across implementations.
default Tensor	Tensor.fmod(Tensor argument)
default Tensor	Tensor.hamming(Tensor argument)
default Tensor	Tensor.join(Tensor argument, DoubleBinaryOperator combinator)
default Tensor	Tensor.larger(Tensor argument)
default Tensor	Tensor.largerOrEqual(Tensor argument)
default Tensor	Tensor.ldexp(Tensor argument)
default Tensor	Tensor.matmul(Tensor argument, String dimension)
default Tensor	Tensor.max(Tensor argument)
default Tensor	Tensor.merge(Tensor argument, DoubleBinaryOperator combinator)
default Tensor	Tensor.min(Tensor argument)
default Tensor	Tensor.multiply(Tensor argument)
default Tensor	Tensor.notEqual(Tensor argument)
static Tensor	Tensors.packBits(Tensor tensor)	Converts any tensor into one where each consecutive 8 values in the dense dimension are packed into a single byte, by setting a bit to 1 when the tensor has a positive value and 0 otherwise.
default Tensor	Tensor.pow(Tensor argument)
default Tensor	Tensor.smaller(Tensor argument)
default Tensor	Tensor.smallerOrEqual(Tensor argument)
default Tensor	Tensor.subtract(Tensor argument)
static Tensor	Tensors.toSparse(Tensor tensor, String... dimensions)	Converts the given dimensions from dense to sparse.
static String	Tensor.toStandardString(Tensor tensor, boolean withType, boolean shortForms, long maxCells)	Call this from toString in implementations to return this tensor on the tensor literal form.
static String	Tensor.valueToString(Tensor tensor, boolean shortForms, long maxCells)
default Tensor	Tensor.xwPlusB(Tensor w, Tensor b, String dimension)

Uses of Tensor in com.yahoo.tensor.evaluation

Methods in com.yahoo.tensor.evaluation that return Tensor

Modifier and Type	Method	Description
Tensor	VariableTensor.evaluate(EvaluationContext<NAMETYPE> context)
Tensor	EvaluationContext.getTensor(String name)	Returns the tensor bound to this name, or null if none
Tensor	MapEvaluationContext.getTensor(String name)

Methods in com.yahoo.tensor.evaluation with parameters of type Tensor

Modifier and Type	Method	Description
void	MapEvaluationContext.put(String name, Tensor tensor)

Uses of Tensor in com.yahoo.tensor.functions

Methods in com.yahoo.tensor.functions that return Tensor

Modifier and Type	Method	Description
Tensor	CellCast.evaluate(EvaluationContext<NAMETYPE> context)
Tensor	CompositeTensorFunction.evaluate(EvaluationContext<NAMETYPE> context)	Evaluates this by first converting it to a primitive function
Tensor	Concat.evaluate(EvaluationContext<NAMETYPE> context)
Tensor	ConstantTensor.evaluate(EvaluationContext<NAMETYPE> context)
Tensor	CosineSimilarity.evaluate(EvaluationContext<NAMETYPE> context)	Evaluates this by first converting it to a primitive function
Tensor	EuclideanDistance.evaluate(EvaluationContext<NAMETYPE> context)	Evaluates this by first converting it to a primitive function
Tensor	Generate.evaluate(EvaluationContext<NAMETYPE> context)
Tensor	Join.evaluate(EvaluationContext<NAMETYPE> context)
Tensor	Map.evaluate(EvaluationContext<NAMETYPE> context)
Tensor	MapSubspaces.evaluate(EvaluationContext<NAMETYPE> context)
Tensor	Merge.evaluate(EvaluationContext<NAMETYPE> context)
Tensor	Reduce.evaluate(EvaluationContext<NAMETYPE> context)
final Tensor	ReduceJoin.evaluate(EvaluationContext<NAMETYPE> context)
Tensor	Rename.evaluate(EvaluationContext<NAMETYPE> context)
Tensor	Slice.evaluate(EvaluationContext<NAMETYPE> context)
final Tensor	TensorFunction.evaluate()	Evaluate with no context
abstract Tensor	TensorFunction.evaluate(EvaluationContext<NAMETYPE> context)	Evaluates this tensor.

Methods in com.yahoo.tensor.functions with parameters of type Tensor

Modifier and Type	Method	Description
boolean	ReduceJoin.canOptimize(Tensor a, Tensor b)	Tests whether or not the reduce is over the join dimensions.

Constructors in com.yahoo.tensor.functions with parameters of type Tensor

Modifier	Constructor	Description
	ConstantTensor(Tensor tensor)

Uses of Tensor in com.yahoo.tensor.serialization

Methods in com.yahoo.tensor.serialization that return Tensor

Modifier and Type	Method	Description
Tensor	DenseBinaryFormat.decode(Optional<TensorType> optionalType, GrowableByteBuffer buffer)
static Tensor	JsonFormat.decode(TensorType type, byte[] jsonTensorValue)	Deserializes the given tensor from JSON format
static Tensor	TypedBinaryFormat.decode(Optional<TensorType> type, GrowableByteBuffer buffer)	Decode some data to a tensor

Methods in com.yahoo.tensor.serialization with parameters of type Tensor

Modifier and Type	Method	Description
void	DenseBinaryFormat.encode(GrowableByteBuffer buffer, Tensor tensor)
static byte[]	JsonFormat.encode(Tensor tensor)	Serializes the given tensor value into JSON format, in long format, wrapped in an object containing "cells" only.
static byte[]	JsonFormat.encode(Tensor tensor, boolean shortForm, boolean directValues)	Serializes the given tensor value into JSON format.
static byte[]	JsonFormat.encode(Tensor tensor, JsonFormat.EncodeOptions options)	Serializes the given tensor value into JSON format.
static byte[]	TypedBinaryFormat.encode(Tensor tensor)
static GrowableByteBuffer	TypedBinaryFormat.encode(Tensor tensor, GrowableByteBuffer buffer)
static byte[]	JsonFormat.encodeShortForm(Tensor tensor)	Deprecated. use #encode(#Tensor, boolean, boolean)
static byte[]	JsonFormat.encodeWithType(Tensor tensor)	Deprecated. use #encode(#Tensor, boolean, boolean)