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config.yaml
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config.yaml
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---
experiments:
metero_use: ['2m_temperature',
'boundary_layer_height', # Comment out for no_BPL experiments.
'k_index',
'relative_humidity+950',
'surface_pressure',
'total_precipitation',
'u_component_of_wind+950',
'v_component_of_wind+950',]
save_npy: True
dataset_num: 3
model: MLP
# model: LSTM
# model: GRU
# model: GC_LSTM
# model: nodesFC_GRU
# model: PM25_GNN
# model: PM25_GNN_nosub
train:
batch_size: 32
epochs: 50
exp_repeat: 10
hist_len: 1
pred_len: 24
weight_decay: 0.0005
early_stop: 10
lr: 0.0005
filepath:
GPU-Server:
knowair_fp: /data/wangshuo/haze/pm25gnn/KnowAir.npy
results_dir: /data/wangshuo/haze/pm25gnn/results
data:
metero_var:
['100m_u_component_of_wind',
'100m_v_component_of_wind',
'2m_dewpoint_temperature',
'2m_temperature',
'boundary_layer_height',
'k_index',
'relative_humidity+950',
'relative_humidity+975',
'specific_humidity+950',
'surface_pressure',
'temperature+925',
'temperature+950',
'total_precipitation',
'u_component_of_wind+950',
'v_component_of_wind+950',
'vertical_velocity+950',
'vorticity+950']
dataset:
data_start: [[2015, 1, 1, 0, 0], GMT]
data_end: [[2018, 12, 31, 21, 0], GMT]
1:
train_start: [[2015, 1, 1], GMT]
train_end: [[2016, 12, 31], GMT]
val_start: [[2017, 1, 1], GMT]
val_end: [[2017, 12, 31], GMT]
test_start: [[2018, 1, 1], GMT]
test_end: [[2018, 12, 31], GMT]
2:
train_start: [[2015, 11, 1], GMT]
train_end: [[2016, 2, 28], GMT]
val_start: [[2016, 11, 1], GMT]
val_end: [[2017, 2, 28], GMT]
test_start: [[2017, 11, 1], GMT]
test_end: [[2018, 2, 28], GMT]
3:
train_start: [[2016, 9, 1], GMT]
train_end: [[2016, 11, 30], GMT]
val_start: [[2016, 12, 1], GMT]
val_end: [[2016, 12, 31], GMT]
test_start: [[2017, 1, 1], GMT]
test_end: [[2017, 1, 31], GMT]