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ESEm 1.1 We have added this What's New page for tracking the latest developments in ESEm! We have dropped the mandatory requirement of Iris to make installation of ESEm easier. We have also added support for xarray DataArrays so that users can use their preferred library for data processing. The esem.emulator.Emulator.predict and esem.emulator.Emulator.batch_stats methods can now accept pd.DataFrames to match the training interface. The associated doc-strings and signatures have been extended to reflect this. Bugs fixed Use tqdm.auto to automatically choose the appropriate progress bar for the context Fix plot_validation handling of masked data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 1 |

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