Action: METAINFERENCE
Module | isdb |
---|---|
Description | Usage |
Calculates the Metainference energy for a set of experimental data. |
Output components
This action can calculate the values in the following table when the associated keyword is included in the input for the action. These values can be referenced elsewhere in the input by using this Action's label followed by a dot and the name of the value required from the list below.
Name | Type | Keyword | Description |
---|---|---|---|
bias | scalar | default | the instantaneous value of the bias potential |
sigma | scalar | default | uncertainty parameter |
sigmaMean | scalar | default | uncertainty in the mean estimate |
neff | scalar | default | effective number of replicas |
acceptSigma | scalar | default | MC acceptance for sigma values |
acceptScale | scalar | SCALEDATA | MC acceptance for scale value |
acceptFT | scalar | GENERIC | MC acceptance for general metainference f tilde value |
weight | scalar | REWEIGHT | weights of the weighted average |
biasDer | scalar | REWEIGHT | derivatives with respect to the bias |
scale | scalar | SCALEDATA | scale parameter |
offset | scalar | ADDOFFSET | offset parameter |
ftilde | scalar | GENERIC | ensemble average estimator |
Input
The arguments that serve as the input for this action are specified using one or more of the keywords in the following table.
Keyword | Type | Description |
---|---|---|
ARG | scalar | the labels of the scalars on which the bias will act |
PARARG | scalar | reference values for the experimental data, these can be provided as arguments without derivatives |
Further details and examples
Text from manual goes here
Syntax
The following table describes the keywords and options that can be used with this action
Keyword | Type | Default | Description |
---|---|---|---|
ARG | input | none | the labels of the scalars on which the bias will act |
PARARG | input | none | reference values for the experimental data, these can be provided as arguments without derivatives |
NOISETYPE | compulsory | MGAUSS | functional form of the noise (GAUSS,MGAUSS,OUTLIERS,MOUTLIERS,GENERIC) |
LIKELIHOOD | compulsory | GAUSS | the likelihood for the GENERIC metainference model, GAUSS or LOGN |
DFTILDE | compulsory | 0.1 | fraction of sigma_mean used to evolve ftilde |
SCALE0 | compulsory | 1.0 | initial value of the scaling factor |
SCALE_PRIOR | compulsory | FLAT | either FLAT or GAUSSIAN |
OFFSET0 | compulsory | 0.0 | initial value of the offset |
OFFSET_PRIOR | compulsory | FLAT | either FLAT or GAUSSIAN |
SIGMA0 | compulsory | 1.0 | initial value of the uncertainty parameter |
SIGMA_MIN | compulsory | 0.0 | minimum value of the uncertainty parameter |
SIGMA_MAX | compulsory | 10. | maximum value of the uncertainty parameter |
OPTSIGMAMEAN | compulsory | NONE | Set to NONE/SEM to manually set sigma mean, or to estimate it on the fly |
WRITE_STRIDE | compulsory | 10000 | write the status to a file every N steps, this can be used for restart/continuation |
NUMERICAL_DERIVATIVES | optional | false | calculate the derivatives for these quantities numerically |
PARAMETERS | optional | not used | reference values for the experimental data |
NOENSEMBLE | optional | false | don't perform any replica-averaging |
REWEIGHT | optional | false | simple REWEIGHT using the latest ARG as energy |
AVERAGING | optional | not used | Stride for calculation of averaged weights and sigma_mean |
SCALEDATA | optional | false | Set to TRUE if you want to sample a scaling factor common to all values and replicas |
SCALE_MIN | optional | not used | minimum value of the scaling factor |
SCALE_MAX | optional | not used | maximum value of the scaling factor |
DSCALE | optional | not used | maximum MC move of the scaling factor |
ADDOFFSET | optional | false | Set to TRUE if you want to sample an offset common to all values and replicas |
OFFSET_MIN | optional | not used | minimum value of the offset |
OFFSET_MAX | optional | not used | maximum value of the offset |
DOFFSET | optional | not used | maximum MC move of the offset |
REGRES_ZERO | optional | not used | stride for regression with zero offset |
DSIGMA | optional | not used | maximum MC move of the uncertainty parameter |
SIGMA_MEAN0 | optional | not used | starting value for the uncertainty in the mean estimate |
SIGMA_MAX_STEPS | optional | not used | Number of steps used to optimise SIGMA_MAX, before that the SIGMA_MAX value is used |
TEMP | optional | not used | the system temperature - this is only needed if code doesn't pass the temperature to plumed |
MC_STEPS | optional | not used | number of MC steps |
MC_CHUNKSIZE | optional | not used | MC chunksize |
STATUS_FILE | optional | not used | write a file with all the data useful for restart/continuation of Metainference |
FMT | optional | not used | specify format for HILLS files (useful for decrease the number of digits in regtests) |
SELECTOR | optional | not used | name of selector |
NSELECT | optional | not used | range of values for selector [0, N-1] |
RESTART | optional | not used | allows per-action setting of restart (YES/NO/AUTO) |