Helper Module for Deep Learning.

Module that provides functions to prepare geomic dataset.

class pynet.datasets.genomic.Item(input_path, output_path, metadata_path, labels)¶

property input_path¶

Alias for field number 0

property labels¶

Alias for field number 3

property metadata_path¶

Alias for field number 2

property output_path¶

Alias for field number 1

pynet.datasets.genomic.fetch_genomic_pred(datasetdir, to_categorical=False)[source]¶

Fetch/prepare the genomic prediction dataset for pynet.

Matrix Y contains the average grain yield, column 1: Grain yield for environment 1 and so on. Matrix X contains marker genotypes.

Parameters

datasetdir: str

the dataset destination folder.

to_categorical: bool, default False

if set convert the observation to categories.

Returns

item: namedtuple

a named tuple containing ‘input_path’, ‘output_path’, and ‘metadata_path’.