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[Feature]: XGBoost #5

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bdiptesh opened this issue Jan 20, 2022 · 0 comments · Fixed by #11
Closed
1 task done

[Feature]: XGBoost #5

bdiptesh opened this issue Jan 20, 2022 · 0 comments · Fixed by #11
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@bdiptesh
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feature New feature or request tests Integration/Unit tests
Milestone
v0.4.0

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@bdiptesh
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bdiptesh commented Jan 20, 2022 •
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Is your feature request related to a problem? Please describe.

XGBoost module.

Describe the solution you'd like

XGBoost module for both classification and regression. Determine optimal hyperparameters

Methods:

  1. Classification
  2. Regression

Expected input(s)

df: pandas.DataFrame
y_var: List[str]
x_var: List[str]
method: Union[str]
param: Dict

Expected output(s)

fit
predict

Additional context

No response

Acceptance criteria

  • Integration tests

Version

v0.4.0
@bdiptesh bdiptesh added feature New feature or request tests Integration/Unit tests labels Jan 20, 2022
@bdiptesh bdiptesh added this to the v0.4.0 milestone Jan 20, 2022
@bdiptesh bdiptesh self-assigned this Jan 20, 2022
@bdiptesh bdiptesh mentioned this issue Jan 20, 2022
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@bdiptesh bdiptesh

Labels
feature New feature or request tests Integration/Unit tests
Projects
CodeLib
Status: Done
Milestone
v0.4.0
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feature_1_2_3_4_5_6_7_8_testing ml-lib/CodeLib
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@bdiptesh