5.1. Partial Dependence and Individual Conditional Expectation plots
A guide to partial-dependence and individual-conditional-expectation curves, including definitions, computation and correlated-input caveats.
Research, software, data and methods. Inspect the context, compare your options, and take a useful next step.
A guide to partial-dependence and individual-conditional-expectation curves, including definitions, computation and correlated-input caveats.
A model-inspection guide explaining permutation importance and its limitations when predictors are strongly correlated.
A replication of a model combining hippocampal and dorsal-striatal learning for spatial decision making.
An Octave replication of a multifunctional synthetic gene-network model involving oscillatory and switching behavior.
A replication of a neurodynamical working-memory model using recurrent or echo-state networks.
A replication of reward-modulated motor learning and automaticity in a reservoir-computing model.
A replication about the evolution of cooperation on graphs and social networks.
A Python replication of a search-and-matching model framed through game theory and markets.
A replication examining lexical methods for measuring bias and sensitivity to seed choices.
A replication about Thompson sampling and bandit-guided sequence optimization.
An R replication about plankton coexistence, species oscillations and chaotic ecological dynamics.
A replication of replay-based continual learning with vision transformers, relevant to evaluating retention across sequential tasks.
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