Views provided by UsageCounts
This release enables much easier cross-validation of SINDy models using Scikit-learn cross-validation tools. Major changes include: t_default parameter added to the SINDy class. This parameter specifies the default time step that should be used whenever the t argument of a SINDy method is not used. New notebook demonstrating cross-validation and other examples combining Scikit-learn and PySINDy objects. More details can be found in #84.
| 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). | 0 | |
| 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 |
| views | 1 |

Views provided by UsageCounts