Skip to content

Feat: Add Original Column generator as a default feature generator #153

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
leonidb merged 3 commits into from
Jan 14, 2026
Merged

Feat: Add Original Column generator as a default feature generator #153

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
2faf0f3
Feat: Add Original Column generator as a default feature generator
ErikLagerSB Jan 13, 2026
87d48d5
Remove check relying on the fact features can't be found
ErikLagerSB Jan 13, 2026
1971820
fix ruff
ErikLagerSB Jan 13, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 4 additions & 1 deletion agentune/api/defaults.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -19,6 +19,9 @@
from agentune.analyze.feature.gen.insightful_text_generator.insightful_text_generator import (
ConversationQueryFeatureGenerator,
)
from agentune.analyze.feature.gen.original_column_generator.original_column_generator import (
OriginalColumnsGenerator,
)
from agentune.analyze.feature.select import FeatureSelector
from agentune.analyze.feature.select.base import EnrichedFeatureSelector
from agentune.analyze.feature.select.linear_pairwise import LinearPairWiseFeatureSelector
Expand Down Expand Up @@ -90,7 +93,7 @@ def conversation_query_feature_generator(self) -> ConversationQueryFeatureGenera
return ConversationQueryFeatureGenerator.default(self.run_context._llm_context)

def feature_generators(self) -> tuple[FeatureGenerator, ...]:
return (self.conversation_query_feature_generator(), )
return (self.conversation_query_feature_generator(), OriginalColumnsGenerator())

def feature_selector(self) -> FeatureSelector | EnrichedFeatureSelector:
return LinearPairWiseFeatureSelector()
Expand Down
4 changes: 0 additions & 4 deletions tests/agentune/api/test_ops.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,6 @@
from agentune.analyze.feature.problem import ProblemDescription
from agentune.analyze.run.analysis.base import (
AnalyzeComponents,
NoFeaturesFoundError,
)
from agentune.api.base import RunContext
from agentune.api.data import BoundTable
Expand Down Expand Up @@ -43,9 +42,6 @@ async def test_e2e_flow_synthetic(input_data_csv_path: Path, tmp_path: Path) ->
split_input = await input.split()
problem_description = ProblemDescription('target', 'Test synthetic data problem')

with pytest.raises(NoFeaturesFoundError): # Default generators can't do anything with this synthetic data
await ctx.ops.analyze(problem_description, split_input)

components = AnalyzeComponents(
generators=(ToySyncFeatureGenerator(), ToyAsyncFeatureGenerator(), ToySyncFeatureGenerator(), ToyAsyncFeatureGenerator()),
selector=ToyAsyncEnrichedFeatureSelector()
Expand Down