Skip to content

Instantly share code, notes, and snippets.

@isaacmg

isaacmg/example.yaml

Created February 5, 2021 18:27
Show Gist options
  • Save isaacmg/ed3a57cafc5623360ef8fe1bbb049b3f to your computer and use it in GitHub Desktop.
Save isaacmg/ed3a57cafc5623360ef8fe1bbb049b3f to your computer and use it in GitHub Desktop.
Download ZIP
Raw
example.yaml
wandb_version: 1
GCS:
desc: null
value: true
_wandb:
desc: null
value:
cli_version: 0.10.17
framework: torch
is_jupyter_run: true
is_kaggle_kernel: false
python_version: 3.6.9
t:
1:
- 1
- 5
2:
- 1
- 5
3:
- 1
- 2
4: 3.6.9
5: 0.10.17
8:
- 1
batch_size:
desc: null
value: 300
dataset_params:
desc: null
value:
batch_size: 300
class: default
feature_param:
datetime_params:
hour: cyclical
month: cyclical
forecast_history: 20
forecast_length: 1
forecast_test_len: 100
interpolate:
method: back_forward_generic
params:
relevant_columns:
- cfs
- tmpf
- p01m
- dwpf
num_workers: 12
pin_memory: true
relevant_cols:
- cfs
- tmpf
- p01m
- dwpf
scaler: StandardScaler
sort_column: hour_updated
target_col:
- cfs
test_end: 58000
test_path: /content/joined_final_3/09405500AZC_flow.csv
test_start: 57000
train_end: 50000
train_start: 1000
training_path: /content/joined_final_3/09405500AZC_flow.csv
valid_end: 57000
valid_start: 50001
validation_path: /content/joined_final_3/09405500AZC_flow.csv
dropout:
desc: null
value: 0.2
early_stopping:
desc: null
value:
patience: 3
forecast_history:
desc: null
value: 20
forecast_length:
desc: null
value: 1
forward_params:
desc: null
value: {}
gcs_m_path_10_model:
desc: null
value: gs://predict_cfs/experiments/03_February_202106_29AM_model.pth
gcs_m_path_10_params:
desc: null
value: gs://predict_cfs/experiments/03_February_202106_29AM.json
inference_params:
desc: null
value:
dataset_params:
feature_params:
datetime_params:
hour: cyclical
month: cyclical
file_path: /content/joined_final_3/09405500AZC_flow.csv
forecast_history: 20
forecast_length: 1
interpolate_param:
method: back_forward_generic
params:
relevant_columns:
- cfs
- tmpf
- p01m
- dwpf
relevant_cols:
- cfs
- tmpf
- p01m
- dwpf
scaling: StandardScaler
sort_column: hour_updated
target_col:
- cfs
datetime_start: '2020-05-31'
decoder_params:
decoder_function: simple_decode
unsqueeze_dim: 1
hours_to_forecast: 336
num_prediction_samples: 20
test_csv_path: /content/joined_final_3/09405500AZC_flow.csv
lr:
desc: null
value: 0.001
metrics:
desc: null
value:
- MSE
- DilateLoss
model_name:
desc: null
value: CustomTransformerDecoder
model_params:
desc: null
value:
dropout: 0.2
n_layers_encoder: 1
n_time_series: 8
output_seq_length: 1
seq_length: 20
use_mask: true
model_type:
desc: null
value: PyTorch
number_encoder_layers:
desc: null
value: 1
save_path:
desc: null
value: model_save/03_February_202106_29AM_model.pth
sweep:
desc: null
value: true
training_params:
desc: null
value:
batch_size: 300
criterion: MSE
epochs: 10
optim_params:
lr: 0.001
optimizer: SGD
use_mask:
desc: null
value: true
wandb:
desc: null
value: false
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment