BINDINGS.md

RAPIDS Bindings

The tables below show the bindings that have been implemented in node-rapids:

• cuDF
• cuGraph
• cuSpatial
• cuML

cuDF

Series

Numeric Series

cuDF	node-rapids
abs	✅
acos	✅
add	✅
all	✅
any	✅
append	✅ (concat)
applymap
argsort
as_index
as_mask
asin	✅
astype	✅ (cast)
atan	✅
ceil	✅
clip
copy	✅
corr
cos	✅
count	✅ (countNonNulls)
cov
cummax	✅ (cumulativeMax)
cummin	✅ (cumulativeMin)
cumprod	✅ (cumulativeProduct)
cumsum	✅ (cumulativeSum)
describe
diff
digitize
drop_duplicates	✅ (dropDuplicates)
dropna	✅ (dropNulls)
eq	✅
equals
exp	✅
factorize
fillna	✅ (replaceNulls)
floor	✅
floordiv	✅
from_arrow	✅
from_categorical
from_masked_array
from_pandas
ge	✅
groupby
gt	✅
hash_encode
hash_values
head	✅
interleave_columns
isin
isna	✅ (isNull)
isnull	✅
keys
kurt	✅ (kurtosis)
kurtosis	✅
label_encoding
le	✅
log	✅
lt	✅
map
mask
max	✅
mean	✅
median	✅
memory_usage
min	✅
mod	✅
mode
mul	✅
nans_to_nulls	✅ (nansToNulls)
ne	✅
nlargest	✅ (nLargest)
notna	✅ (isNotNull)
notnull	✅ (isNotNull)
nsmallest	✅ (nSmallest)
nunique	✅
one_hot_encoding
pipe
pow	✅
prod
product	✅
quantile	✅
radd
rank
reindex
rename
repeat
replace
reset_index
reverse	✅
rfloordiv
rmod
rmul
rolling
round
rpow
rsub
rtruediv
sample
scale
scatter_by_map
searchsorted
set_index
set_mask
shift
sin	✅
skew	✅
sort_index
sort_values	✅ (sortValues)
sqrt	✅
std	✅
sub	✅
sum	✅
tail	✅
take	✅ (gather)
tan	✅
tile
to_array
to_arrow
to_dlpack
to_frame
to_gpu_array
to_hdf
to_json
to_pandas
to_string
truediv	✅
unique	✅
value_counts	✅
values_to_string
var	✅
where

List, String, Struct Series

cuDF	List Series	String Series	Struct Series
add
all	✅	✅	✅
any	✅	✅	✅
append	✅ (concat)	✅ (concat)	✅ (concat)
applymap
argsort
as_index
as_mask
astype	✅ (cast)	✅ (cast)	✅ (cast)
byte_count	N/A	✅ (byteCount)	N/A
clip
copy	✅	✅	✅
count	✅ (countNonNulls)	✅ (countNonNulls)	✅ (countNonNulls)
describe
diff
digitize
drop_duplicates	✅ (dropDuplicates)	✅ (dropDuplicates)	✅ (dropDuplicates)
dropna	✅ (dropNulls)	✅ (dropNulls)	✅ (dropNulls)
equals
factorize
fillna	✅ (replaceNulls)	✅ (replaceNulls)	✅ (replaceNulls)
from_arrow
from_categorical
from_masked_array
from_pandas
get_json_object		✅ (getJSONObject)
groupby
hash_encode
hash_values
head	✅	✅	✅
interleave_columns
isin
isna	✅ (isNull)	✅ (isNull)	✅ (isNull)
isnull	✅	✅	✅
keys
kurt	✅ (kurtosis)	✅ (kurtosis)	✅ (kurtosis)
kurtosis	✅	✅	✅
label_encoding
len		✅	N/A
map
mask
memory_usage
nans_to_nulls	✅ (nansToNulls)	✅ (nansToNulls)	✅ (nansToNulls)
notna	✅ (isNotNull)	✅ (isNotNull)	✅ (isNotNull)
notnull	✅ (isNotNull)	✅ (isNotNull)	✅ (isNotNull)
nunique
one_hot_encoding
pad	N/A	✅	N/A
pipe
quantile
rank
reindex
rename
repeat
replace
reset_index
reverse	✅	✅	✅
rolling
sample
scatter_by_map
searchsorted
set_index
set_mask
shift
skew	✅	✅	✅
sort_index
sort_values	✅ (sortValues)	✅ (sortValues)	✅ (sortValues)
tail	✅	✅	✅
take	✅ (gather)	✅ (gather)	✅ (gather)
tile
to_array
to_arrow
to_dlpack
to_frame
to_gpu_array
to_hdf
to_json
to_pandas
to_string
unique	✅	✅	✅
value_counts	✅	✅	✅
values_to_string
where
zfill	N/A	✅	N/A

DataFrame

cuDF	node-rapids
acos	✅
add
agg
all
any
append	✅ (concat)
apply_chunks
apply_rows
argsort
as_gpu_matrix
as_matrix
asin	✅
assign	✅
astype	✅ (cast)
atan	✅
clip
copy
corr
cos	✅
count
cov
cummax
cummin
cumprod
cumsum
describe
div
drop	✅
drop_duplicates	✅ (dropDuplicates)
dropna	✅ (dropNulls)
equals
exp	✅
fillna	✅ (replaceNulls)
floordiv
from_arrow
from_pandas
from_records
hash_columns
head	✅
info
insert
interleave_columns	✅
isin
isna	✅ (isNaN)
isnull	✅
iteritems
join
keys
kurt	✅ (kurtosis)
kurtosis	✅
label_encoding
log	✅
mask
max
mean
melt
memory_usage
merge
min
mod
mode
mul
nans_to_nulls	✅ (nansToNulls)
nlargest
notna	✅ (isNotNaN)
notnull	✅ (isNotNull)
nsmallest
one_hot_encoding
partition_by_hash
pipe
pivot
pop
pow
prod
product
quantile
quantiles
query
radd
rank
rdiv
reindex
rename
repeat
replace
reset_index
rfloordiv
rmod
rmul
round
rpow
rsub
rtruediv
sample
scatter_by_map
searchsorted
select_dtypes
set_index
shift
sin	✅
skew	✅
sort_index
sort_values	✅ (sortValues)
sqrt	✅
stack
std
sub
sum
tail	✅
take	✅ (gather)
tan	✅
tile
to_arrow	✅ (toArrow)
to_csv	✅ (toCSV)
to_dlpack
to_feather
to_hdf
to_json
to_orc	✅ (toORC)
to_pandas
to_parquet	✅ (toParquet)
to_records
to_string
transpose
truediv
unstack
update
var
where

GroupBy

cuDF	node-rapids
agg
aggregate
apply
apply_grouped
nth	✅
pipe
rolling
size

cuGraph

cuGraph	node-rapids
add_internal_vertex_id
add_nodes_from
clear
compute_renumber_edge_list
degree
degrees
delete_adj_list
delete_edge_list
edges
from_cudf_adjlist
from_cudf_edgelist
from_dask_cudf_edgelist
from_numpy_array
from_numpy_matrix
from_pandas_adjacency
from_pandas_edgelist
get_two_hop_neighbors
has_edge
has_node
in_degree
is_bipartite
is_multigraph
is_multipartite
lookup_internal_vertex_id
nodes
number_of_edges	✅ (numEdges)
number_of_nodes	✅ (numNodes)
number_of_vertices
out_degree
sets
to_directed
to_numpy_array
to_numpy_matrix
to_pandas_adjacency
to_pandas_edgelist
to_undirected
unrenumber
view_adj_list
view_edge_list
view_transposed_adj_list

cuSpatial

cuSpatial	node-rapids
directed_hausdorff_distance
haversine_distance
lonlat_to_cartesian
point_in_polygon
polygon_bounding_boxes	✅ (computePolygonBoundingBoxes)
polyline_bounding_boxes	✅ (computePolylineBoundingBoxes)
quadtree_on_points	✅ (createQuadtree)
points_in_spatial_window
join_quadtree_and_bounding_boxes	✅ (findQuadtreeAndBoundingBoxIntersections)
quadtree_point_in_polygon	✅ (findPointsInPolygons)
quadtree_point_to_nearest_polyline	✅ (findPolylineNearestToEachPoint)
derive_trajectories
trajectory_bounding_boxes
trajectory_distances_and_speeds
read_polygon_shapefile

cuML

Clustering

cuML	node-rapids
AC
DBSCAN
K-Means

Dimensionality Reduction and Manifold Learning

cuML	node-rapids
K-Means
PCA
Random Projection
tSVD
TSNE

Dimensionality Reduction and Manifold Learning - UMAP

cuML	node-rapids
fit	✅ (fitSeries, fitDataFrame,fitArray)
transform	✅ (transformSeries, transformDataFrame,
	transformArray)
refine	✅ (refineSeries, refineDataFrame,
	refineformArray)

Linear / Nonlinear Models for Regression or Classification

cuML	node-rapids
ElasticNet Regression
KNN
LARS Regression
Linear Regression (OLS)
Linear Regression Lasso
Linear Regression Ridge
Logistic Regression
Naive Bayes
SGD
CD
QN
Random Forest
SVC
SVR

Misc

cuML	node-rapids
Preprocessing Misc
Holt-Winters Exponential Smoothing
Auto-regressive Integrated Moving Average
SHAP Kernel Explainer
SHAP Permutation Explainer
trustworthiness_score	✅ (trustworthinessSeries,
	trustworthinessDataFrame, trustworthiness)

EOF