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notebooks/chronos-2-quickstart.ipynb

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"source": [
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"## Cross-Learning with Joint Prediction\n",
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"\n",
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"Chronos-2 supports **cross-learning** through the `predict_batches_jointly=True` parameter, which enables the model to share information across all time series in a batch during prediction. This can be particularly beneficial when forecasting multiple related time series with short historical context."
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"Chronos-2 supports **cross-learning** through the `cross_learning=True` parameter, which enables the model to share information across all time series in a batch during prediction. This can be particularly beneficial when forecasting multiple related time series with short historical context."
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" context_df,\n",
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" prediction_length=24,\n",
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" quantile_levels=[0.1, 0.5, 0.9],\n",
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" predict_batches_jointly=True, # Enable cross-learning\n",
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" cross_learning=True, # Enable cross-learning\n",
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" batch_size=100,\n",
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")"
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"\n",
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"### Important Considerations for Cross-Learning\n",
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"\n",
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"When using `predict_batches_jointly=True`, keep these caveats in mind:\n",
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"When using `cross_learning=True`, keep these caveats in mind:\n",
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"\n",
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"- **Task-dependent results**: Cross-learning may not always improve forecasts and could worsen performance for some tasks. Evaluate this feature for your specific use case.\n",
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"\n",
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" <div>\n",
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" \n",
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" <progress value='1000' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
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" [1000/1000 01:11, Epoch 1/9223372036854775807]\n",
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" [1000/1000 01:13, Epoch 1/9223372036854775807]\n",
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" </div>\n",
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" <table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <div>\n",
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" \n",
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" <progress value='1000' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
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" [1000/1000 01:51, Epoch 1/9223372036854775807]\n",
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" [1000/1000 01:53, Epoch 1/9223372036854775807]\n",
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" </div>\n",
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" <table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",

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