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Meta knn few shot #1894

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Meta knn few shot #1894

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e97b4dc
Refactor dataset loading in OptimizerTester class
ammirsm Dec 6, 2024
83d0970
Implement MetaKNNFewShot teleprompter for few-shot learning
ammirsm Dec 6, 2024
d3653ed
Refactor project structure and update imports
ammirsm Dec 9, 2024
442960a
Update configuration and add new parameters for MetaKNNFewShot
ammirsm Dec 17, 2024
e32f3f2
Merge branch 'refs/heads/main' into meta-knn-few-shot
ammirsm Dec 17, 2024
4bcdd24
Implement KNN class constructor and update MetaKNNFewShot for vectori…
ammirsm Dec 17, 2024
09dc3b7
Update .gitignore to exclude virtual environments and additional file…
ammirsm Dec 17, 2024
61f6363
Add venv directories to .gitignore and update meta_knn_optimizer_caller
ammirsm Dec 17, 2024
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Update .gitignore to exclude virtual environments and additional file… 
…s. Remove unused imports in KNN class.
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@ammirsm
ammirsm committed Dec 17, 2024
commit 09dc3b73d84e99b85a92d4dc7cb04c877891dc2e
1 change: 0 additions & 1 deletion dspy/predict/knn.py
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Expand Up @@ -11,7 +11,6 @@ def __init__(self, k: int, trainset: list, vectorizer):
trainset: List of training examples to search through
vectorizer: Optional dspy.Embedder for computing embeddings. If None, uses default Embedder
"""
import dspy

self.k = k
self.trainset = trainset
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2 changes: 0 additions & 2 deletions dspy/teleprompt/meta_knn_fewshot.py
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@@ -1,9 +1,7 @@
import random
from typing import List
import pandas as pd
import warnings
from tqdm import tqdm
import dspy
from dspy.predict.knn import KNN
from dspy.teleprompt import BootstrapFewShot
from .teleprompt import Teleprompter
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