Uses of Class
com.yahoo.tensor.evaluation.Name

Packages that use Name

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

Uses of Name in com.yahoo.tensor.evaluation

Classes in com.yahoo.tensor.evaluation with type parameters of type Name

Modifier and Type	Interface	Description
interface	EvaluationContext<NAMETYPE extends Name>	An evaluation context which is passed down to all nested functions during evaluation.
class	MapEvaluationContext<NAMETYPE extends Name>
interface	TypeContext<NAMETYPE extends Name>	Provides type information about a context (set of variable bindings).
class	VariableTensor<NAMETYPE extends Name>	A tensor variable name which resolves to a tensor in the context at evaluation time

Uses of Name in com.yahoo.tensor.functions

Classes in com.yahoo.tensor.functions with type parameters of type Name

Modifier and Type	Class	Description
class	Argmax<NAMETYPE extends Name>
class	Argmin<NAMETYPE extends Name>
class	CellCast<NAMETYPE extends Name>	The cell_cast tensor function creates a new tensor with the specified cell value type.
class	CompositeTensorFunction<NAMETYPE extends Name>	A composite tensor function is a tensor function which can be expressed (less tersely) as a tree of primitive tensor functions.
class	Concat<NAMETYPE extends Name>	Concatenation of two tensors along an (indexed) dimension
class	ConstantTensor<NAMETYPE extends Name>	A function which returns a constant tensor.
class	Diag<NAMETYPE extends Name>	A tensor generator which returns a tensor of any dimension filled with 1 in the diagonal and 0 elsewhere.
class	DynamicTensor<NAMETYPE extends Name>	A function which is a tensor whose values are computed by individual lambda functions on evaluation.
class	Expand<NAMETYPE extends Name>	The expand tensor function returns a tensor with a new dimension of size 1 is added, equivalent to "tensor * tensor(dim_name[1])(1)".
class	Generate<NAMETYPE extends Name>	An indexed tensor whose values are generated by a function
class	Join<NAMETYPE extends Name>	The join tensor operation produces a tensor from the argument tensors containing the set of cells given by the cross product of the cells of the given tensors, having as values the value produced by applying the given combinator function on the values from the two source cells.
class	L1Normalize<NAMETYPE extends Name>
class	L2Normalize<NAMETYPE extends Name>
class	Map<NAMETYPE extends Name>	The map tensor function produces a tensor where the given function is applied on each cell value.
class	Matmul<NAMETYPE extends Name>
class	Merge<NAMETYPE extends Name>	The merge tensor operation produces from two argument tensors having equal types a tensor having the same type where the values are the union of the values of both tensors.
class	PrimitiveTensorFunction<NAMETYPE extends Name>	A primitive tensor function is a tensor function which cannot be expressed in terms of other tensor functions.
class	Random<NAMETYPE extends Name>	A tensor generator which returns a tensor of any dimension filled with random numbers between 0 and 1.
class	Range<NAMETYPE extends Name>	A tensor generator which returns a tensor of any dimension filled with the sum of the tensor indexes of each position.
class	Reduce<NAMETYPE extends Name>	The reduce tensor operation returns a tensor produced from the argument tensor where some dimensions are collapsed to a single value using an aggregator function.
class	ReduceJoin<NAMETYPE extends Name>	An optimization for tensor expressions where a join immediately follows a reduce.
class	Rename<NAMETYPE extends Name>	The rename tensor function returns a tensor where some dimensions are assigned new names.
interface	ScalarFunction<NAMETYPE extends Name>	A function which returns a scalar
class	Slice<NAMETYPE extends Name>	Returns a subspace of a tensor
static class	Slice.DimensionValue<NAMETYPE extends Name>
class	Softmax<NAMETYPE extends Name>
class	TensorFunction<NAMETYPE extends Name>	A representation of a tensor function which is able to be translated to a set of primitive tensor functions if necessary.
interface	ToStringContext<NAMETYPE extends Name>	A context which is passed down to all nested functions when returning a string representation.
static class	ToStringContext.EmptyStringContext<NAMETYPE extends Name>
class	XwPlusB<NAMETYPE extends Name>

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

Modifier and Type	Method	Description
static <NAMETYPE extends Name> Generate<NAMETYPE>	Generate.bound(TensorType type, ScalarFunction<NAMETYPE> generator)	Creates a generated tensor from a bound function
static <NAMETYPE extends Name> ToStringContext<NAMETYPE>	ToStringContext.empty()
static <NAMETYPE extends Name> Generate<NAMETYPE>	Generate.free(TensorType type, Function<List<Long>,Double> generator)	Creates a generated tensor from a free function
static <NAMETYPE extends Name> DynamicTensor<NAMETYPE>	DynamicTensor.from(TensorType type, List<ScalarFunction<NAMETYPE>> cells)	Creates a dynamic tensor function for a bound, indexed tensor
static <NAMETYPE extends Name> DynamicTensor<NAMETYPE>	DynamicTensor.from(TensorType type, Map<TensorAddress,ScalarFunction<NAMETYPE>> cells)	Creates a dynamic tensor function.