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32 refine data pipeline training data construction (#37)

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* feature: modularized feature engineering for ml setup (new pipeline)

* chore: updating imports properly

* test: updating fixtures with ua and meta

* chore: migrating code ignore groups

* chore: syntax cleaning and code quality

* chore: fixing pipeline data compatability

* Update experiments/procesing/steps/session.py

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

* chore: refactoring and dixing path joining

* chore: refactoring function definition to avoid reinit

---------

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
This commit is contained in:
Daniel Alves Rösel
2025-12-12 12:15:15 +01:00
committed by GitHub
parent a2a443c027
commit a1916c966c
6 changed files with 316 additions and 159 deletions
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3
experiments/procesing/steps/base.py
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@@ -1,6 +1,7 @@
from abc import ABC, abstractmethod
from sklearn.base import BaseEstimator, TransformerMixin
from procesing.context import PipelineContext
from typing import Any
class BaseContextStep(BaseEstimator, TransformerMixin, ABC):
"""
@@ -16,7 +17,7 @@ class BaseContextStep(BaseEstimator, TransformerMixin, ABC):
return self
@abstractmethod
def transform(self, X):
def transform(self, X) -> Any:
"""Transform input using context. Must be implemented by subclass."""
pass