# Glossary of terms¶

This page lists alphabetically the meaning of various terms used in dislib’s documentation:

- term
environment

- array-like¶
an instance of an object that can be interpreted as an array (e.g., a list, a sparse matrix, a NumPy array, etc.)

- block¶
a part of a ds-array that is normally stored remotely.

- column¶
a column in a ds-array.

- column block¶
a block or set of blocks representing a set of columns in a ds-array.

- csr_matrix¶
an instance of a sparse matrix in compressed sparse row format.

- ds-array¶
an instance of a distributed array.

- estimator¶
anything that learns from data. Typically, an object that fits a model given some parameters and input data.

- feature¶
each of the dimensions of a sample array. For example, petal length or color.

- fit¶
learn a model from input data.

- label¶
a number that represents the category of a sample.

- ndarray¶
an instance of a NumPy array.

- predict¶
infer the category of unlabeled data according to a fitted model.

- row¶
a row in a ds-array (also a sample).

- row block¶
a block or set of blocks that represent a set of rows in a ds-array.

- sample¶
an array that normally represents an observation or an instance. For example, the characteristics of a particular flower.

- shape¶
the total number of rows and columns of a ds-array (or NumPy array)

- spmatrix¶
an instance of a SciPy’s sparse matrix.

- synchronization¶
when the execution of a parallel application stalls until certain data is generated, or until all tasks have finished.

- task¶
a unit of computation that can be executed in a remote computer.