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feat(Inference): pipeline wired up (#171)
* feat: Basic pipeline extended. * feat: Added conversion of model list to existing structure (model_name, model_in_time). Fixed loading of previous models and dicts. * fix: Had an unfinished function. * fix: Inference wasn't getting model_over_time. Now transformations are not getting it either yet. Co-authored-by: Daniel Szemerey <szemereydaniel@gmail.com>
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co-authored by
Daniel Szemerey
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4aefba33ea
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797d45d036
@@ -5,7 +5,7 @@ import pandas as pd
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all_results = []
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all_predictions = []
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for index in range(6):
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_, _, _, results_1, predictions_1, _ = run_pipeline(project_name='price-prediction', with_wandb = False, sweep = False, get_config= get_default_ensemble_config)
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_, _, _, _, results_1, predictions_1, _ = run_pipeline(project_name='price-prediction', with_wandb = False, sweep = False, get_config= get_default_ensemble_config)
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all_results.append(results_1)
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all_predictions.append(predictions_1)
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