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---
ops: [evaluate]
model: {
path: /absolute/path/to/model/architecture.py,
class: ModelArchitectureClassName,
class_args: {
arg1: val1,
arg2: val2
},
non_strand_specific: mean
}
sampler: !obj:selene_sdk.samplers.file_samplers.MatFileSampler {
filepath: /path/to/test.mat,
sequence_key: sequences,
targets_key: targets,
random_seed: 456,
shuffle: False,
sequence_batch_axis: 0,
sequence_alphabet_axis: 1,
targets_batch_axis: 0
}
evaluate_model: !obj:selene_sdk.EvaluateModel {
features: !obj:selene_sdk.utils.load_features_list {
input_path: /path/to/features_list.txt
},
trained_model_path: /path/to/trained/model.pth.tar,
batch_size: 64,
report_gt_feature_n_positives: 50,
use_cuda: True
}
random_seed: 123
output_dir: /path/to/output_dir
create_subdirectory: False
...
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