1.4.0
Version 1.4 adds a lot of functionality to Φ-ML and includes a ton of fixes!
This version is archived at figshare, DOI: DOI.
Highlights
- Users now have more control over sparse matrices with
to_format
for sparse/dense conversion andis_sparse
. - Added
find_closest()
with dense and k-d tree implementations - New functions
argmin
,argmax
,equal
,erf
,incomplete_gamma
- Improved gradient descent optimizer via
math.minimize()
- Support
...
for remaining dimensions inreshaped_native
,reshaped_tensor
. scatter
now supports modesmin
,max
,prod
,any
,all
min
,max
,nonzero
now support sparse tensorsrandom_uniform
now supports setting limits byTensor
cross_product
now retains item namesslice
now supports primitivesmap
now supportsdims='object'
to map over layout dimensions- Non-uniform tensors can now be used with
dot
,median
vec
now allows empty vectorslinspace
now supports multiple dimensions- Sparse-sparse matrix multiplication
pip install phiml==1.4.0