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TNick/csv_dataset_test.csv

Created June 2, 2015 14:41
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csv_dataset_test.csv
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Raw
csv_dataset_test.yaml
!obj:pylearn2.train.Train {
dataset: &train !obj:pylearn2.datasets.csv_dataset.CSVDataset {
path: 'csv_dataset_test.csv',
task: 'regression'
},
model: !obj:pylearn2.models.mlp.MLP {
layers: [
!obj:pylearn2.models.mlp.RectifiedLinear {
layer_name: 'h0',
dim: 150,
sparse_init: 1,
use_bias: True
},
!obj:pylearn2.models.mlp.Linear {
layer_name: 'y',
sparse_init: 1,
dim: 1,
}
],
nvis: 21,
},
algorithm: !obj:pylearn2.training_algorithms.sgd.SGD {
batch_size: 10,
learning_rate: .002,
learning_rule: !obj:pylearn2.training_algorithms.learning_rule.Momentum {
init_momentum: .05
},
monitoring_dataset:
{
'train' : *train,
'valid' : !obj:pylearn2.datasets.csv_dataset.CSVDataset {
path: 'csv_dataset_valid.csv',
task: 'regression'
},
},
termination_criterion: !obj:pylearn2.termination_criteria.EpochCounter {
max_epochs: 150
}
},
extensions: [
!obj:pylearn2.train_extensions.best_params.MonitorBasedSaveBest {
channel_name: "valid_objective",
save_path: "best_Jonas.pkl"
}
]
}
Raw
csv_dataset_valid.csv
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