v0.3.4

RAPIDS v0.3.4

Diff since v0.3.3

v0.3.3

RAPIDS v0.3.3

Diff since v0.3.2

Merged pull requests:

• Update package bounds to v22.06, drop python 3.8 (#36) (@tylerjthomas9)

v0.3.2

RAPIDS v0.3.2

Diff since v0.3.1

Merged pull requests:

• fix some MLJ warnings, add MMI.reformat for eventual update support (#35) (@tylerjthomas9)

v0.3.1

RAPIDS v0.3.1

Diff since v0.3.0

Closed issues:

• Get MLJ Interface to work with stacking/ensemble methods with other MLJ models (#16)

Merged pull requests:

• Bump rapids libraries, improve MLJ interface (#34) (@tylerjthomas9)

v0.3.0

RAPIDS v0.3.0

Diff since v0.2.0

Closed issues:

• Use PythonIO for saving/reading models? (#12)
• Integrate API for multi node/gpu algorithms (#14)
• Convert CuArray to cupy array (#15)

Merged pull requests:

• rename prepare_input -> to_numpy, and export it (#31) (@tylerjthomas9)
• sync dev (#32) (@tylerjthomas9)
• Separate RAPIDS wrappers into modules (#33) (@tylerjthomas9)

v0.2.0

Bump RAPIDS to 22.10, improve MLJ interface

v0.1.1

RAPIDS v0.1.1

Closed issues:

• Implement MLJ methods to save/restore models (#6)
• Add MLJ support for dimensionality reduction methods (#7)
• Add MLJ support for time series models (#8)

Merged pull requests:

• Increase MLJ integration (#9) (@tylerjthomas9)
• CompatHelper: bump compat for MLJBase to 0.20, (keep existing compat) (#10) (@github-actions[bot])
• CompatHelper: bump compat for MLJ to 0.18, (keep existing compat) (#11) (@github-actions[bot])