bsmart.scans package

bsmart.scans.get_available_scans(search_target=None, with_meta: bool = False) → dict[source]

Return a list of available scan modules and their metadata. search_target can be:

None: searches the current package (bsmart.scans)

A module object (e.g. bsmart.tools): searches that package

A dictionary path (str): searches that directory (e.g. ./Tools)

Scans

`bsmart.scans.AffineMC`	Affine MCMC scan using the Goodman & Weare algorithm.
`bsmart.scans.AL`	Active Learning scan using neural networks
`bsmart.scans.CMAES`	Optimisation using CMAES
`bsmart.scans.CMAES_ND`	Optimisation using CMAES with Novelty Detection
`bsmart.scans.Contour2D`	Basic scan to find contours in two variables
`bsmart.scans.ContourGP`	Active Learning Scan to find a decision boundary using Gaussian Processes
`bsmart.scans.DEAP`	Optimisation using genetic algorithm DEAP
`bsmart.scans.Diver`	Diver scan
`bsmart.scans.DLScanner`	DLScanner
`bsmart.scans.Grid`	Simple grid scan based on 1D ranges of variables specified by the user.
`bsmart.scans.MCMC`	Simple MCMC scan
`bsmart.scans.MLS`	Machine Learning Scan
`bsmart.scans.MultiNest`	MultiNest scan
`bsmart.scans.Random`	Random Scan
`bsmart.scans.read_csv`	Scan that reads values for the variables from a Comma Separated Values file whose first line contains a list of the variable names (as used by pandas)
`bsmart.scans.read_dir`	Scan to read input files stored in a given directory
`bsmart.scans.read_dir_mpi`	Scan to read input files stored in a given directory
`bsmart.scans.MLScanner`	MLScanner scan collection
`bsmart.scans.Vegas`	Importance Sampling using vegas