cuML - RAPIDS Machine Learning Library
raft/matrix/matrix.cuh
include (#5411) @benfredmeta.yaml
(#5407) @divyegalabranch-23.04
& branch-23.06
(#5340) @galipremsagardask
and distributed
for development (#5452) @galipremsagarraft::sparse::distance::pairwise_distance
to new API (#5428) @divyegaladask
and distributed
for release (#5333) @galipremsagarraft/distance/distance_type.hpp
(#5264) @cjnoletpydata-sphinx-theme=0.13.0
compatible (#5259) @galipremsagardask
and distributed
for release (#5333) @galipremsagarpickle5
(#5310) @jakirkhamAWS_SESSION_TOKEN
and SCCACHE_S3_USE_SSL
vars to conda build (#5263) @ajschmidt8dask
and distributed
for development (#5209) @galipremsagarconda
recipe (#5190) @ajschmidt8detail
namespace for linear models (#5107) @lowenersample_weight
to Coordinate Descent solver (Lasso and ElasticNet) (#4867) @lowenerPowerTransformer
, QuantileTransformer
and KernelCenterer
(#4755) @viclafarguedask
and distributed
for release (#4859) @galipremsagar_predict_model_on_cpu
for RandomForestClassifier
(#5148) @lowenerRAPIDS
magic value (#5124) @robertmaynardLasso
interop issue (#5116) @viclafarguesklearn
presence before importing the Pipeline
(#5072) @viclafargueworkers
argument to dask make_blobs
(#5057) @viclafargueHashingVectorizer
(#5041) @lowenerdask
and distributed
for release (#5198) @galipremsagarfaiss
from libcuml
(#5175) @ajschmidt8import_utils
from common
to internals
for Forest notebook (#5171) @taureandyernvcudf.core.buffer.Buffer
(#5154) @galipremsagarRecently Updated
Check (#5105) @ajschmidt8pytest
is run from relevant directories in GH Actions (#5101) @ajschmidt8.conda
folder (#5078) @ajschmidt8test
to tests
(#5037) @vyasrCountVectorizer
& TfidVectorizer
in cuml.pipeline.Pipeline
(#5034) @lasse-it_predict_model_on_cpu
for RandomForestClassifier
(#5148) @lowenerRAPIDS
magic value (#5124) @robertmaynardLasso
interop issue (#5116) @viclafarguesklearn
presence before importing the Pipeline
(#5072) @viclafargueworkers
argument to dask make_blobs
(#5057) @viclafargueHashingVectorizer
(#5041) @lowenerdask
and distributed
for release (#5198) @galipremsagarfaiss
from libcuml
(#5175) @ajschmidt8import_utils
from common
to internals
for Forest notebook (#5171) @taureandyernvcudf.core.buffer.Buffer
(#5154) @galipremsagarRecently Updated
Check (#5105) @ajschmidt8pytest
is run from relevant directories in GH Actions (#5101) @ajschmidt8.conda
folder (#5078) @ajschmidt8test
to tests
(#5037) @vyasrCountVectorizer
& TfidVectorizer
in cuml.pipeline.Pipeline
(#5034) @lasse-itraft/distance/distance_type.hpp
(#5264) @cjnoletpydata-sphinx-theme=0.13.0
compatible (#5259) @galipremsagarAWS_SESSION_TOKEN
and SCCACHE_S3_USE_SSL
vars to conda build (#5263) @ajschmidt8dask
and distributed
for development (#5209) @galipremsagarconda
recipe (#5190) @ajschmidt8pydata-sphinx
theme (#4985) @galipremsagarCumlArray.copy()
(#4958) @madsbkLinearRegression
documentation (#5020) @viclafarguepydata-sphinx
theme (#4985) @galipremsagardask
and distributed
for release (#4999) @galipremsagardask
nightly install command in CI (#4978) @galipremsagarCumlArray.deserialize()
(#4965) @madsbkcuda-python
dependency to 11.7.1 (#4961) @galipremsagarnvtx_benchmarks.py
script (#4959) @viclafargueCumlArray.copy()
(#4958) @madsbkdask
and distributed
for development (#4912) @galipremsagarpydata-sphinx
theme (#4985) @galipremsagarCumlArray.copy()
(#4958) @madsbkLinearRegression
documentation (#5020) @viclafarguepydata-sphinx
theme (#4985) @galipremsagardask
and distributed
for release (#4999) @galipremsagardask
nightly install command in CI (#4978) @galipremsagarCumlArray.deserialize()
(#4965) @madsbkcuda-python
dependency to 11.7.1 (#4961) @galipremsagarnvtx_benchmarks.py
script (#4959) @viclafargueCumlArray.copy()
(#4958) @madsbkdask
and distributed
for development (#4912) @galipremsagarsample_weight
to Coordinate Descent solver (Lasso and ElasticNet) (#4867) @lowenerPowerTransformer
, QuantileTransformer
and KernelCenterer
(#4755) @viclafarguedask
and distributed
for release (#4859) @galipremsagar