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chor: fixing cross product missing data

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Daniel Rosel
2025-11-27 00:36:25 +01:00
parent 633edcd76b
commit 07262e5c8f
2 changed files with 42 additions and 22 deletions
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25
experiments/procesing/pricing.py
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@@ -88,17 +88,28 @@ if __name__ == "__main__":
interaction_data = interaction_pipeline.fit_transform(None)
price_data = price_data_pipeline.fit_transform(None)
price_elasticity = elasticity_pipeline(interaction_data, price_data, window_size="30s")
price_elasticity = price_elasticity['elasticity'].values if price_elasticity is not None and not price_elasticity.empty else np.array([])
elasticity_df = elasticity_pipeline(interaction_data, price_data, window_size="30s")
price_data = price_data['price'].values if not price_data.empty else np.array([])
# align elasticity with price data by productId, fill missing with 0
if not price_data.empty and elasticity_df is not None and not elasticity_df.empty:
price_data_merged = price_data.merge(
elasticity_df[['productId', 'elasticity']],
on='productId',
how='left'
).fillna({'elasticity': 0.0})
print(price_elasticity)
print(price_data)
prices = price_data_merged['price'].values
elasticities = price_data_merged['elasticity'].values
else:
prices = np.array([])
elasticities = np.array([])
print(elasticities)
print(prices)
state_space = StateSpace(
demand=price_elasticity,
prices=price_data,
demand=elasticities,
prices=prices,
session_features=interaction_data
)