defined_as: kipoi.model.KerasModel
args: # arguments of kipoi.model.KerasModel
    arch:
        url: https://zenodo.org/record/5502060/files/DeepSTARR.model.json?download=1
        md5: 9b796f79441e53dc75dd79b911fff872
    weights:
        url: https://zenodo.org/record/5502060/files/DeepSTARR.model.h5?download=1
        md5: 7e53a9351b2520a4713a5ffdb5f1566c

default_dataloader: 
    defined_as: kipoiseq.dataloaders.SeqIntervalDl

    default_args: # Optional arguments to the SeqIntervalDl dataloader
        auto_resize_len: 249
        alphabet_axis: 1
        dummy_axis: 2
        alphabet: "ACGT"
        ignore_targets: False

info:
    authors: 
        - name: Bernardo P. de Almeida
          github: bernardo-de-almeida
          email: bernardo.almeida94@gmail.com
    doc: Model predicting the activities of developmental and housekeeping enhancers in Drosophila S2 cells
    cite_as: https://doi.org/10.1101/2021.10.05.463203
    trained_on: Developmental and housekeeping quantitative enhancer activity. Held-out second half of chromosome 2R.
    license: MIT

dependencies:
    conda:
      - python=3.7
      - h5py=3.6.0
      - pip=21.2.2
    pip:
      - keras==2.7.0
      - tensorflow==2.7.0

schema:
    inputs:
        shape: (249,4,1)
        doc: DNA sequence

    targets:
        shape: (2,)
        doc: Developmental and housekeeping enhancer activity