Release 0.0.4

Tested on Ubuntu 64-bit with Idris2 v0.5.1 and Nx XLA CPU binaries v0.3.0

This release implements (or, in some cases, removes) all functions the Tensor API.

API changes

• introduce Idris counterparts to XLA data types (S32, U32, F64 etc.) for use in Tensor #168. Add custom numerical interfaces to mirror Prelude numerical constraints #174
• support boolean primitive type PRED #135
• use List Nat for tensor shapes #184 #185
• make dtype explicit in Array #156
• make broadcasting explicit #138
• delete the Variable mutable tensor type #186
• delete trace_product #189, cast_dtype, inverse #198, det #209
• make ProbabilisticModel an interface #121
• implement new functions and operators. Most of these APIs have changed during implementation
  • identity for constructing identity matrices #199
  • index for basic tensor indexing #191
  • reshape for reshaping tensors #192
  • expand for adding a dimension to a Tensor #193
  • squeeze for removing dimensions of length one #194
  • slice for slicing along any one axis #195
  • split for splitting a tensor in two along a given axis #196
  • concat for concatenating Tensors #197
  • .T for transposing matrices #208
  • diag for fetching the diagonal of a matrix #211
  • element-wise unary functions: absolute value absEach #144 #163; numeric negation negate #157; natural exponential expEach and logarithm logEach #187; add floor floorEach, ceiling ceilEach, logistic logisticEach, sine sinEach, cosine cosEach, hyperbolic tangent tanhEach, and square root sqrtEach #188; boolean negation notEach #160
  • element-wise binary functions: equality ==# and inequality /=# #136; subtraction - #145; multiplication *# #134; division /# #158; comparison ># <# >=# <=# #143; logical and &&# and or ||# #160; exponential wrt any base ^# #206; minimum minEach and maximum maxEach #179
  • division by a constant / #158
  • multiplication by a constant * #142
  • functor-like map #165, applicative-like map2 #171 #178 and foldable-like reduce #176 along with monoid instances for Tensor #180
  • @@ for matrix and vector multiplication #201
  • trace for summing along a matrix diagonal #202
  • cholesky for lower triangular Cholesky decomposition #203
  • (\\) for solving linear equations wrt triangular matrices #207

Bug fixes

• pdf for Gaussian now uses covariance correctly in exponent #209

Documentation

• expand introduction to Bayesian optimisation in tutorial #172

Build changes

• compile XLA C wrapper into single shared library #215
• update XLA binary to version 0.0.3 (for XLA/TensorFlow version 2.8.0) #216

Release 0.0.3

Tested on Ubuntu 64-bit with Idris2 v0.5.1 and Nx XLA binaries v0.2.0

API enhancements

• implement Gaussian PDF (#42)
• refactor distribution functionality (#86)
• replace Connection with Morphism (#89)
• improve efficiency of GP training with Cholesky factorization (#93)
• allow any data representation in Bayesian optimization (#100)
• erase as many values as possible (#106)
• simplify namespace names (#107)
• add Matern 5/2 kernel (#109)
• simplify Distribution with functional dependencies (#112)
• implement conjugate GP regression (#113)
• introduce Dataset data type (#115)
• add Bayesian optimization loop (#114)
• add XLA backend (#82 #90 #123 #124 #126 #127 #128 #129 #131) with executable implementations for addition (#128) and broadcasting (#130)

Other

• add installation instructions (#133)
• update Idris 2 to v0.5.1 (#78)

Release 0.0.2

API enhancements

• add RBF kernel (#75)
• implement zero mean function (#74)
• constrain element type of tensors to have corresponding types in backend (#47)
• replace Maybe usage with Either and error types (#45)
• add support for squeezing Tensors (#40)
• add numerous tensor operators (#39)
• add mutable (linear) tensor Variable type and in-place ops (#36)
• hide Tensor constructor, enabling arbitrary Tensor representation (#34)
• implement acquisition functions: (negative) lower confidence bound, probability of feasibility, expected improvement (#24)

Bug fixes

• improve type inference for tensor contraction operator @@ (#72)

Other

• convert Bayesian optimization integration test to tutorial (#43) (#51)
• add automatic API reference build and deployment on release (#77)
• update Idris 2 to v0.4.0 (#78)

Release 0.0.1

v0.0.1

add support for broadcasting (#26)