Files
drift/sweep.yaml
T
Daniel Szemerey a7414eac23 feature: Added Weights and Biases configuration to the repo. (#48)
* feat: initial wandb configured. Sweep parameters aren't configured yet.

* feat: Wandb logs now results.

* feat: gitignore.

* fix: Took out print()

* feat: Changed default value of wandb to False.

* feat: Added wandb to turn of automatically if there is no environment variable to start it (when we push it). Added environment configuration aswell.

* fix(Dependencies): the package name seems to be python-dotenv

Co-authored-by: Mark Aron Szulyovszky <mark.szulyovszky@gmail.com>
2021-12-20 14:01:14 +01:00

48 lines
791 B
YAML

program: rnn_sweep.py
method: bayes
project: integer-sequence
name: Finding best hyperparameters for price prediction
early_terminate:
type: hyperband
min_iter: 2000
metric:
goal: maximize
name: accuracy_test
parameters:
path : 'data/'
sliding_window_size:
values:
- 90
- 150
- 365
- 730
distribution: categorical
retrain_every:
values:
- 7
- 14
- 30
- 60
distribution: categorical
scaler: 'minmax' # 'normalize' 'minmax' 'standardize' 'none'
include_original_data_in_ensemble: True
method:
values:
- 'classification'
- 'regression'
distribution: categorical
forecasting_horizon:
value: 1
distribution: constant