feos.eos.estimator.DataSet¶

class feos.eos.estimator.DataSet¶

A collection of experimental data that can be used to compute cost functions and make predictions using an equation of state.

Methods

`__init__`()
`binary_phase_diagram`(specification, ...[, ...])	Create a DataSet with experimental data for binary phase diagrams using the distance residual.
`binary_vle_chemical_potential`(temperature, ...)	Create a DataSet with experimental data for binary phase equilibria using the chemical potential residual.
`binary_vle_pressure`(temperature, pressure, ...)	Create a DataSet with experimental data for binary phase equilibria using the pressure residual.
`cost`(eos, loss)	Compute the cost function for each input value.
`diffusion`(target, temperature, pressure[, phase])	Create a DataSet with experimental data for diffusion coefficient.
`equilibrium_liquid_density`(target, temperature)	Create a DataSet with experimental data for liquid density for a vapor liquid equilibrium.
`liquid_density`(target, temperature, pressure)	Create a DataSet with experimental data for liquid density.
`mean_absolute_relative_difference`(eos)	Return the mean absolute relative difference.
`predict`(eos)	Return the property of interest for each data point of the input as computed by the equation of state.
`relative_difference`(eos)	Return the relative difference between experimental data and prediction of the equation of state.
`thermal_conductivity`(target, temperature, ...)	Create a DataSet with experimental data for thermal conductivity.
`vapor_pressure`(target, temperature, extrapolate)	Create a DataSet with experimental data for vapor pressure.
`viscosity`(target, temperature, pressure[, phase])	Create a DataSet with experimental data for viscosity.

Attributes

`datapoints`	Return number of stored data points.
`target`	Return target as `SIArray1`.