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  • How can apyxl be used ?
  • API Reference
  • Planned Enhancements
  • How can apyxl be used ?
  • API Reference
  • Planned Enhancements

Index

A | B | C | D | F | N | P | S | T | X

A

  • apply_shift() (apyxl.TimeSeriesNormalizer class method)

B

  • bar() (apyxl.XGBClassifierWrapper method)
    • (apyxl.XGBRegressorWrapper method)
  • beeswarm() (apyxl.XGBClassifierWrapper method)
    • (apyxl.XGBRegressorWrapper method)

C

  • compute_shap_values() (apyxl.XGBClassifierWrapper method)
    • (apyxl.XGBRegressorWrapper method)
  • create_objective() (apyxl.XGBClassifierWrapper method)
    • (apyxl.XGBRegressorWrapper method)

D

  • decision() (apyxl.XGBClassifierWrapper method)
    • (apyxl.XGBRegressorWrapper method)

F

  • fit() (apyxl.XGBClassifierWrapper method)
    • (apyxl.XGBRegressorWrapper method)
  • force() (apyxl.XGBClassifierWrapper method)
    • (apyxl.XGBRegressorWrapper method)

N

  • normalize() (apyxl.TimeSeriesNormalizer method)

P

  • predict() (apyxl.XGBClassifierWrapper method)
    • (apyxl.XGBRegressorWrapper method)
  • preprocess_data() (apyxl.TimeSeriesNormalizer method)

S

  • scatter() (apyxl.XGBClassifierWrapper method)
    • (apyxl.XGBRegressorWrapper method)
  • set_scoring() (apyxl.XGBClassifierWrapper method)
    • (apyxl.XGBRegressorWrapper method)

T

  • TimeSeriesNormalizer (class in apyxl)

X

  • XGBClassifierWrapper (class in apyxl)
  • XGBRegressorWrapper (class in apyxl)

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