Build out cudf functionality

CondaPkg.toml

@@ -1,14 +1,14 @@
 channels = ["rapidsai", "nvidia", "conda-forge"]
 
 [deps]
-cudf = "=23.10"
-cuxfilter = "=23.10"
-cucim = "=23.10"
-cuspatial = "=23.10"
-cugraph = "=23.10"
-cuml = "=23.10"
-python = ">=3.9,<=3.10"
+cudf = "=24.04"
+cuxfilter = "=24.04"
+cucim = "=24.04"
+cuspatial = "=24.04"
+cugraph = "=24.04"
+cuml = "=24.04"
+python = ">=3.9,<=3.11"
 
     [deps.cuda-version]
     channel = "conda-forge"
-    version = "=12.0"
+    version = "=12.2"

Project.toml

@@ -1,20 +1,33 @@
 name = "RAPIDS"
 uuid = "2764e59e-7dd7-4b2d-a28d-ce06411bac13"
 authors = ["tylerjthomas9 <[email protected]>"]
-version = "0.4.0"
+version = "0.5.0"
 
 [deps]
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
+Compat = "34da2185-b29b-5c13-b0c7-acf172513d20"
 CondaPkg = "992eb4ea-22a4-4c89-a5bb-47a3300528ab"
+DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
+DataValues = "e7dc6d0d-1eca-5fa6-8ad6-5aecde8b7ea5"
+Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
+IteratorInterfaceExtensions = "82899510-4779-5014-852e-03e436cf321d"
+Lazy = "50d2b5c4-7a5e-59d5-8109-a42b560f39c0"
 MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
 MLJModelInterface = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
+MLJTestInterface = "72560011-54dd-4dc2-94f3-c5de45b75ecd"
+OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
 PythonCall = "6099a3de-0909-46bc-b1f4-468b9a2dfc0d"
+Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
+Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
+TableTraits = "3783bdb8-4a98-5b6b-af9a-565f29a5fe9c"
+TableTraitsUtils = "382cd787-c1b6-5bf2-a167-d5b971a19bda"
 Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
 
 [compat]
-Aqua = "0.7"
+Aqua = "0.8"
 CUDA = "3, 4, 5"
 CondaPkg = "0.2"
+DataFrames = "1.6"
 MLJBase = "1"
 MLJModelInterface = "1"
 PythonCall = "0.9"
@@ -23,9 +36,10 @@ julia = "1.8"
 
 [extras]
 Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
+DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
 MLJTestInterface = "72560011-54dd-4dc2-94f3-c5de45b75ecd"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["Test", "Aqua", "MLJBase", "MLJTestInterface"]
+test = ["Test", "Aqua", "DataFrames", "MLJBase", "MLJTestInterface"]

README.md

@@ -2,9 +2,6 @@
 [![Lifecycle:Maturing](https://img.shields.io/badge/Lifecycle-Maturing-007EC6)](https://github.com/bcgov/repomountie/blob/master/doc/lifecycle-badges.md)
 [![Code Style: YASGuide](https://img.shields.io/badge/code%20style-yas-violet.svg)](https://github.com/jrevels/YASGuide)
 
-
-:warning: RAPIDS.jl is only supported on Julia 1.8.5+. For previous Julia versions, you have to manually upgrade to libraries from GCC 12. 
-
 # RAPIDS.jl
 Unofficial Julia wrapper for the [RAPIDS.ai](https://rapids.ai/index.html) ecosystem.
 
@@ -42,9 +39,14 @@ julia> ]add https://github.com/tylerjthomas9/RAPIDS.jl
 julia> using Pkg; Pkg.add(url="https://github.com/tylerjthomas9/RAPIDS.jl")
 ```
 
+## Julia Interfaces
+
+- `CuDF`
+- `CuML`
+
 ## Python API
 
-You can access the following python libraries with their standard syntax:
+You can access the following python libraries with their standard Python syntax:
 - `cupy`
 - `cudf`
 - `cuml`
@@ -55,76 +57,9 @@ You can access the following python libraries with their standard syntax:
 - `dask_cuda`
 - `dask_cudf`
 - `numpy`
+- `pandas` (cudf pandas)
 - `pickle`
 
-Here is an example of using `LogisticRegression`, `make_classification` via the Python API. 
-
-```julia
-using RAPIDS
-const make_classification = cuml.datasets.classification.make_classification
-
-X_py, y_py = make_classification(n_samples=200, n_features=4,
-                           n_informative=2, n_classes=2)
-lr = cuml.LogisticRegression(max_iter=100)
-lr.fit(X_py, y_py)
-preds = lr.predict(X_py)
-
-print(lr.coef_)
-```
-
-## MLJ Interface
-
-A MLJ interface is also available for supported models. The model hyperparameters are the same as described in the [cuML docs](https://docs.rapids.ai/api/cuml/stable/api.html). The only difference is that the models will always input/output numpy arrays, which will be converted back to Julia arrays (`output_type="input"`). 
-
-```julia
-using MLJBase
-using RAPIDS.CuML
-const make_classification = cuml.datasets.classification.make_classification
-
-X_py, y_py = make_classification(n_samples=200, n_features=4,
-                           n_informative=2, n_classes=2)
-X = RAPIDS.pyconvert(Matrix{Float32}, X_py.get())
-y = RAPIDS.pyconvert(Vector{Float32}, y_py.get().flatten())
-
-lr = LogisticRegression(max_iter=100)
-mach = machine(lr, X, y)
-fit!(mach)
-preds = predict(mach, X)
-
-print(mach.fitresult.coef_)
-```
 
-MLJ Support:
-- Clustering
-    - `KMeans`
-    - `DBSCAN`
-    - `AgglomerativeClustering`
-    - `HDBSCAN`
-- Classification
-    - `LogisticRegression`
-    - `MBSGDClassifier`
-    - `RandomForestClassifier`
-    - `SVC`
-    - `LinearSVC`
-    - `KNeighborsClassifier`
-- Regression
-    - `LinearRegression`
-    - `Ridge`
-    - `Lasso`
-    - `ElasticNet`
-    - `MBSGDRegressor`
-    - `RandomForestRegressor`
-    - `CD`
-    - `SVR`
-    - `LinearSVR`
-    - `KNeighborsRegressor`
-- Dimensionality Reduction
-    - `PCA`
-    - `IncrementalPCA`
-    - `TruncatedSVD`
-    - `UMAP`
-    - `TSNE`
-    - `GaussianRandomProjection`
-- Time Series
-    - `ExponentialSmoothing`
-    - `ARIMA`
+## Known Issues
+- RAPIDS.jl is only supported on Julia 1.8.5+. For previous Julia versions, you have to manually upgrade to libraries from GCC 12. 

format/Manifest.toml

@@ -1,6 +1,6 @@
 # This file is machine-generated - editing it directly is not advised
 
-julia_version = "1.8.5"
+julia_version = "1.9.4"
 manifest_format = "2.0"
 project_hash = "30b405be1c677184b7703a9bfb3d2100029ccad0"
 
@@ -21,21 +21,23 @@ uuid = "00ebfdb7-1f24-5e51-bd34-a7502290713f"
 version = "3.3.6"
 
 [[deps.CommonMark]]
-deps = ["Crayons", "JSON", "SnoopPrecompile", "URIs"]
-git-tree-sha1 = "e2f4627b0d3f2c1876360e0b242a7c23923b469d"
+deps = ["Crayons", "JSON", "PrecompileTools", "URIs"]
+git-tree-sha1 = "532c4185d3c9037c0237546d817858b23cf9e071"
 uuid = "a80b9123-70ca-4bc0-993e-6e3bcb318db6"
-version = "0.8.10"
+version = "0.8.12"
 
 [[deps.Compat]]
-deps = ["Dates", "LinearAlgebra", "UUIDs"]
-git-tree-sha1 = "7a60c856b9fa189eb34f5f8a6f6b5529b7942957"
+deps = ["UUIDs"]
+git-tree-sha1 = "8a62af3e248a8c4bad6b32cbbe663ae02275e32c"
 uuid = "34da2185-b29b-5c13-b0c7-acf172513d20"
-version = "4.6.1"
+version = "4.10.0"
 
-[[deps.CompilerSupportLibraries_jll]]
-deps = ["Artifacts", "Libdl"]
-uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
-version = "1.0.1+0"
+    [deps.Compat.extensions]
+    CompatLinearAlgebraExt = "LinearAlgebra"
+
+    [deps.Compat.weakdeps]
+    Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
+    LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 
 [[deps.Crayons]]
 git-tree-sha1 = "249fe38abf76d48563e2f4556bebd215aa317e15"
@@ -44,9 +46,9 @@ version = "4.1.1"
 
 [[deps.DataStructures]]
 deps = ["Compat", "InteractiveUtils", "OrderedCollections"]
-git-tree-sha1 = "d1fff3a548102f48987a52a2e0d114fa97d730f0"
+git-tree-sha1 = "3dbd312d370723b6bb43ba9d02fc36abade4518d"
 uuid = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
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+version = "0.18.15"
 
 [[deps.Dates]]
 deps = ["Printf"]
@@ -76,20 +78,20 @@ uuid = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
 version = "0.21.4"
 
 [[deps.JuliaFormatter]]
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-git-tree-sha1 = "0f6545dd63fec03d0cfe0c1d28f851e2d804e942"
+deps = ["CSTParser", "CommonMark", "DataStructures", "Glob", "Pkg", "PrecompileTools", "Tokenize"]
+git-tree-sha1 = "3d5b5b539e4606dcca0e6a467b98a64c8da4850b"
 uuid = "98e50ef6-434e-11e9-1051-2b60c6c9e899"
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+version = "1.0.42"
 
 [[deps.LibCURL]]
 deps = ["LibCURL_jll", "MozillaCACerts_jll"]
 uuid = "b27032c2-a3e7-50c8-80cd-2d36dbcbfd21"
-version = "0.6.3"
+version = "0.6.4"
 
 [[deps.LibCURL_jll]]
 deps = ["Artifacts", "LibSSH2_jll", "Libdl", "MbedTLS_jll", "Zlib_jll", "nghttp2_jll"]
 uuid = "deac9b47-8bc7-5906-a0fe-35ac56dc84c0"
-version = "7.84.0+0"
+version = "8.4.0+0"
 
 [[deps.LibGit2]]
 deps = ["Base64", "NetworkOptions", "Printf", "SHA"]
@@ -98,15 +100,11 @@ uuid = "76f85450-5226-5b5a-8eaa-529ad045b433"
 [[deps.LibSSH2_jll]]
 deps = ["Artifacts", "Libdl", "MbedTLS_jll"]
 uuid = "29816b5a-b9ab-546f-933c-edad1886dfa8"
-version = "1.10.2+0"
+version = "1.11.0+1"
 
 [[deps.Libdl]]
 uuid = "8f399da3-3557-5675-b5ff-fb832c97cbdb"
 
-[[deps.LinearAlgebra]]
-deps = ["Libdl", "libblastrampoline_jll"]
-uuid = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
-
 [[deps.Logging]]
 uuid = "56ddb016-857b-54e1-b83d-db4d58db5568"
 
@@ -117,45 +115,46 @@ uuid = "d6f4376e-aef5-505a-96c1-9c027394607a"
 [[deps.MbedTLS_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "c8ffd9c3-330d-5841-b78e-0817d7145fa1"
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 [[deps.Mmap]]
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 [[deps.MozillaCACerts_jll]]
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+version = "2022.10.11"
 
 [[deps.NetworkOptions]]
 uuid = "ca575930-c2e3-43a9-ace4-1e988b2c1908"
 version = "1.2.0"
 
-[[deps.OpenBLAS_jll]]
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-uuid = "4536629a-c528-5b80-bd46-f80d51c5b363"
-version = "0.3.20+0"
-
 [[deps.OrderedCollections]]
-git-tree-sha1 = "d321bf2de576bf25ec4d3e4360faca399afca282"
+git-tree-sha1 = "2e73fe17cac3c62ad1aebe70d44c963c3cfdc3e3"
 uuid = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
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 [[deps.Parsers]]
-deps = ["Dates", "SnoopPrecompile"]
-git-tree-sha1 = "478ac6c952fddd4399e71d4779797c538d0ff2bf"
+deps = ["Dates", "PrecompileTools", "UUIDs"]
+git-tree-sha1 = "a935806434c9d4c506ba941871b327b96d41f2bf"
 uuid = "69de0a69-1ddd-5017-9359-2bf0b02dc9f0"
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+deps = ["Artifacts", "Dates", "Downloads", "FileWatching", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "Serialization", "TOML", "Tar", "UUIDs", "p7zip_jll"]
 uuid = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
-version = "1.8.0"
+version = "1.9.2"
+
+[[deps.PrecompileTools]]
+deps = ["Preferences"]
+git-tree-sha1 = "03b4c25b43cb84cee5c90aa9b5ea0a78fd848d2f"
+uuid = "aea7be01-6a6a-4083-8856-8a6e6704d82a"
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 [[deps.Preferences]]
 deps = ["TOML"]
-git-tree-sha1 = "47e5f437cc0e7ef2ce8406ce1e7e24d44915f88d"
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 uuid = "21216c6a-2e73-6563-6e65-726566657250"
-version = "1.3.0"
+version = "1.4.1"
 
 [[deps.Printf]]
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@@ -176,34 +175,28 @@ version = "0.7.0"
 [[deps.Serialization]]
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@@ -215,17 +208,12 @@ uuid = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5"
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