implement CLI trainer utility, update progress bar logging
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29
example/example.json
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29
example/example.json
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{
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"estimator_name": "mlp",
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"dataset_name": "random_xy_dataset",
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"dataloader_name": "supervised_data_loader",
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"estimator_kwargs": {
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"input_dim": 4,
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"output_dim": 2
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},
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"dataset_kwargs": {
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"num_samples": 100000,
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"preload": true,
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"input_dim": 4,
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"output_dim": 2
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},
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"dataset_split_fracs": {
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"train": 0.4,
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"val": 0.3,
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"aux": [0.3]
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},
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"dataloader_kwargs": {
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"batch_size": 16
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},
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"train_kwargs": {
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"summarize_every": 20,
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"max_epochs": 100,
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"stop_after_epochs": 100
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},
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"load_only": false
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}
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