Bump smileVersion from 2.6.0 to 3.0.1

[dependabot]

Bumps smileVersion from 2.6.0 to 3.0.1.
Updates com.github.haifengl:smile-nlp from 2.6.0 to 3.0.1

Release notes

Sourced from com.github.haifengl:smile-nlp's releases.

3.0.1

1. Remove XStream dependency as it exposes many vulnerabilities
2. Bug fixes with ICA, MCC, Shap Value, etc.

3.0.0

1. Java Module friendly with auto module name
2. Redesigned feature engineering packages (missing value imputation, transform, selection, extraction, importance)
3. One-class SVM
4. Isolation forest
5. Feature Hashing
6. One-way ANOVA
7. BigMatrix supporting more than 2 billion elements
8. Latin hypercube sampling
9. CLI supports training, batch prediction, endpoint, etc.
10. Bug fixes

Commits

• 724568f update docs for 3.0.1
• cc5ebad upgrade kotlin to 1.8.10
• d8494a8 upgrade 11ty to 2.0.0
• 6dbf2d9 update kotlin api doc link
• 184f0f8 update dependency
• d437511 fix tp and tn in MCC
• 1c8bfa0 write(array) -> write.array() to avoid compiler confusion with write(object)
• a4b296e fix GradientTreeBoost.shap() for binary classification
• 2558deb v3.0.1
• 2a9295d revise .jvmopts --add-opens for windows
• Additional commits viewable in compare view

Updates com.github.haifengl:smile-kotlin from 2.6.0 to 3.0.1

Release notes

Sourced from com.github.haifengl:smile-kotlin's releases.

3.0.1

1. Remove XStream dependency as it exposes many vulnerabilities
2. Bug fixes with ICA, MCC, Shap Value, etc.

3.0.0

1. Java Module friendly with auto module name
2. Redesigned feature engineering packages (missing value imputation, transform, selection, extraction, importance)
3. One-class SVM
4. Isolation forest
5. Feature Hashing
6. One-way ANOVA
7. BigMatrix supporting more than 2 billion elements
8. Latin hypercube sampling
9. CLI supports training, batch prediction, endpoint, etc.
10. Bug fixes

Commits

• 724568f update docs for 3.0.1
• cc5ebad upgrade kotlin to 1.8.10
• d8494a8 upgrade 11ty to 2.0.0
• 6dbf2d9 update kotlin api doc link
• 184f0f8 update dependency
• d437511 fix tp and tn in MCC
• 1c8bfa0 write(array) -> write.array() to avoid compiler confusion with write(object)
• a4b296e fix GradientTreeBoost.shap() for binary classification
• 2558deb v3.0.1
• 2a9295d revise .jvmopts --add-opens for windows
• Additional commits viewable in compare view

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