module metrics.classification

Short summary

module lightmlboard.metrics.classification

Metrics about regressions.

source on GitHub

Functions

function	truncated documentation
is_vector	Tells if an array is a vector.
multi_label_jaccard	Applies to a multi-label classification problem. Computes the average Jaccard index between two sequences of sets …
reshape	Reshape the expected values and predictions.
roc_auc_score_macro	Computes roc_auc_score with …
roc_auc_score_micro	Computes roc_auc_score with …

Documentation

Metrics about regressions.

source on GitHub

lightmlboard.metrics.classification.is_vector(a)

Tells if an array is a vector.

source on GitHub

lightmlboard.metrics.classification.multi_label_jaccard(exp, val, exc=True)

Applies to a multi-label classification problem. Computes the average Jaccard index between two sequences of sets of labels (see Multi-label classification).

Parameters:

• exp – list of tuple or list of set or filename or streams (comma separated values) or dict

• val – list of tuple or list of set or filename or streams (comma separated values) or dict

• exc – raises an exception if not enough submitted items

Returns:

score

source on GitHub

lightmlboard.metrics.classification.reshape(exp, val)

Reshape the expected values and predictions.

source on GitHub

lightmlboard.metrics.classification.roc_auc_score_macro(exp, val)

Computes roc_auc_score with average=’macro’.

source on GitHub

lightmlboard.metrics.classification.roc_auc_score_micro(exp, val)

Computes roc_auc_score with average=’micro’.

source on GitHub