funclp.MLE module

class funclp.MLE(distribution=None, **kwargs)[source]

Bases: Estimator

property cpukernel_deviance

property cpukernel_fisher

property cpukernel_loss

property cpukernel_observed

deviance(raw_data, model_data, weights=1, **kwargs)[source]: How well the model fits the data

fisher(raw_data, model_data, weights=1, **kwargs)[source]: Expected Hessian (Fisher information)

property gpukernel_deviance

property gpukernel_fisher

property gpukernel_loss

property gpukernel_observed

loss(raw_data, model_data, weights=1, **kwargs)[source]: Loss for gradient descent

observed(raw_data, model_data, weights=1, **kwargs)[source]: Observed Hessian (negative second derivative)