alibi_detect.utils.tensorflow.misc module

alibi_detect.utils.tensorflow.misc.clone_model(model)

Clone a sequential, functional or subclassed tf.keras.Model.

Return type:

Model

alibi_detect.utils.tensorflow.misc.quantile(sample, p, type=7, sorted=False)

Estimate a desired quantile of a univariate distribution from a vector of samples

Parameters:

• sample (Tensor) – A 1D vector of values

• p (float) – The desired quantile in (0,1)

• type (int) – The method for computing the quantile. See https://wikipedia.org/wiki/Quantile#Estimating_quantiles_from_a_sample

• sorted (bool) – Whether or not the vector is already sorted into ascending order

Return type:

float

Returns:

An estimate of the quantile

alibi_detect.utils.tensorflow.misc.subset_matrix(mat, inds_0, inds_1)

Take a matrix and return the submatrix correspond to provided row and column indices

Parameters:

• mat (Tensor) – A 2D matrix

• inds_0 (Tensor) – A vector of row indices

• inds_1 (Tensor) – A vector of column indices

Return type:

Tensor

Returns:

A submatrix of shape (len(inds_0), len(inds_1))

alibi_detect.utils.tensorflow.misc.zero_diag(mat)

Set the diagonal of a matrix to 0

Parameters:

mat (Tensor) – A 2D square matrix

Return type:

Tensor

Returns:

A 2D square matrix with zeros along the diagonal