MineríaMatemáticas

MiningMath

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Uno de los pasos ineludibles para la próxima generación de tecnologías de Data Science e Inteligencia Artificial aplicadas a la minería

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During some steps, such as Data Validation, the main question should be about the runtime and the progress bar. Vale la pena mencionar que esta es una suposición aproximada., since math programming isn’t something very predictable. Los pasos de preprocesamiento, en el que el algoritmo elimina el material inútil, might keep it stuck in the initial percentage (2%, 4%, etc.) for a while, peroafter that, la optimización can get faster.

MiningMath can virtually handle any model size. It has successfully run models from clients beyond 10M blocks without reblocking, which might take a few hours to finish. The runtime is directly proportional to the number of blocks, destinos, periodos, constraints in use, and variables imported. Por lo tanto, the combination ofmultiple aspects, sondirectly related haciacomplexity of the deposit.

Try to check if there is anyfloating blockswithout any connection with the model topography. These regions might affect the optimization, de este modo, eliminate them so that MiningMath can work well.

Figura 1: Floating blocks.
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