pliers.diagnostics.Diagnostics

class pliers.diagnostics.Diagnostics(data, columns=None)

Bases: object

__init__(data, columns=None)

defaults = {'ColumnMahalanobisDistances': <function Diagnostics.<lambda>>, 'ConditionIndices': <function Diagnostics.<lambda>>, 'CorrelationMatrix': <function Diagnostics.<lambda>>, 'Eigenvalues': <function Diagnostics.<lambda>>, 'RowMahalanobisDistances': <function Diagnostics.<lambda>>, 'VIFs': <function Diagnostics.<lambda>>, 'Variances': <function Diagnostics.<lambda>>}

Class for holding diagnostics of a design matrix

flag(diagnostic, thresh=None)

Returns indices of diagnostic that satisfy (return True from) the threshold predicate. Will use class-level default threshold if None provided.

Parameters

• diagnostic (str) – name of the diagnostic

• thresh (func) – threshold function (boolean predicate) to apply to

• element (each) –

flag_all(thresh_dict=None, include=None, exclude=None)

Returns indices of (rows, columns) that satisfy flag() on any diagnostic. Uses user-provided thresholds in thresh_dict/

Parameters

• thresh_dict (dict) – dictionary of diagnostic->threshold functions

• include (list) – optional sublist of diagnostics to flag

• exclude (list) – optional sublist of diagnostics to not flag

summary(stdout=True, plot=False)

Displays diagnostics to the user

Parameters

• stdout (bool) – print results to the console

• plot (bool) – use Seaborn to plot results