Add SIMBAAlignmentOptimizer implementation#3
Closed
alkispoly-db wants to merge 2 commits intodefault_optimizer_dspy_basefrom
Closed
Add SIMBAAlignmentOptimizer implementation#3alkispoly-db wants to merge 2 commits intodefault_optimizer_dspy_basefrom
alkispoly-db wants to merge 2 commits intodefault_optimizer_dspy_basefrom
Conversation
- Implement SIMBA (Simplified Multi-Bootstrap Aggregation) optimizer - Extend DSPyAlignmentOptimizer with SIMBA-specific optimization logic - Support configurable batch size and seed parameters - Export SIMBAAlignmentOptimizer from optimizers package SIMBA provides bootstrap aggregation optimization for judge prompts, using simplified parametrization compared to other DSPy algorithms. Signed-off-by: Alkis Polyzotis <alkis.polyzotis@databricks.com>
Signed-off-by: Alkis Polyzotis <alkis.polyzotis@databricks.com>
Owner
Author
|
Closing to recreate against correct base branch |
alkispoly-db
pushed a commit
that referenced
this pull request
Oct 31, 2025
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>
alkispoly-db
added a commit
that referenced
this pull request
Dec 17, 2025
Implements 6 of 9 review comments from smoorjani: **API Simplification (Comment #1):** - Remove last_turn_scorer parameter from public API - Simplify constructor to use default Pydantic initialization - Parameter kept as internal field for composition pattern **Code Quality (Comments #3, mlflow#6, mlflow#8):** - Remove duplicated kwargs validation (already in base class) - Remove unnecessary one-line docstring from _evaluate_turn - Use CategoricalRating enum instead of string literals ("yes"/"no") **Logic Improvements (Comments mlflow#7, mlflow#9):** - Move empty results check from _compute_aggregate to __call__ - Add per-turn details for success case (symmetric with failure case) **Code Reuse Analysis (Comments mlflow#4, mlflow#5):** - Researched _validate_session: serves different purpose (session ID validation) - Researched resolve_conversation_from_session: returns different type (list[dict]) - Keeping inline implementations as they serve different purposes **Deferred (Comment #2):** - _create_judge() architecture issue deferred per reviewer (non-blocking) All 5 KnowledgeRetention tests passing. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> Signed-off-by: Alkis Polyzotis <alkis.polyzotis@databricks.com>
alkispoly-db
added a commit
that referenced
this pull request
Feb 24, 2026
- Refactor _ToggleableSpanProcessor from inheritance to composition, wrapping MlflowV3SpanProcessor as inner processor (comment mlflow#5) - Add Langfuse and Arize/Phoenix to integration tiles (comment #2) - Simplify arize.mdx span type mapping to 1-to-1 note (comment #3) - Remove standalone otel.mdx; existing OTel docs suffice (comment mlflow#4) - Verified None preview works against Databricks backend (comment #1) Co-Authored-By: Claude <noreply@anthropic.com> Signed-off-by: Alkis Polyzotis <alkis.polyzotis@databricks.com>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
This PR adds the SIMBA (Simplified Multi-Bootstrap Aggregation) optimizer implementation.
Changes
SIMBAAlignmentOptimizerextending DSPyAlignmentOptimizerDescription
SIMBA provides bootstrap aggregation optimization for judge prompts, using simplified parametrization compared to other DSPy algorithms. This implementation follows the DSPy SIMBA algorithm specification and provides a concrete optimizer that can be used to improve judge performance.
This is the third and final PR in a stack of 3 PRs that refactor the optimizer code:
Test plan
uv run ruff checkuv run ruff formatGenerated with Claude Code