v0.1.2

Folder structure updated:

Report output from visualize.py in reports folder:

Sample of report output from visualize.py:

• scaling and denoising moved into separate files in features folder:
  

• scaled data and scaled + denoised data stored in 'data/interim` folder:
  

-thresholding mode changed from soft to hard to prevent division by 0/error in true_divide for numpy

v0.1.1

• creation of data/pickled folder for pickled data (i.e. pickled dataframes)
• additional files added to references
• README.md update to reflect changes
• new functions inutils.py: interval_split(), dict_interval_split(), pickle_save, pickle_load() (refactored from 1d_train_test_split_exploration.ipynb)
• required imports update (requirements.txt/environment.yml):
  • monthdelta
  • pickle
  • from statsmodels.robust import mad
  • from scipy import signal
• wavelet transform exploration start in 1c_wavelet_draft_test_exploration.ipynb
• start of train-validate-test split implementation in1f_tvt_split_exploration.ipynb
• double datetime index & datetime column fixed from interval_split() in utils.py

v0.1.0

Changelog

v0.1.0

• clean_dataset.py in wsae_lstm folder to clean raw dataset, output stored in data/interim folder (refactored from notebooks\0_data_clean_load.ipynb notebook)
• Refactors from 1_data_clean_load_datetime.ipynb notebook:
  • utils.py for frames_to_excel(),dictmap_load(), dictmap_datetime() functions in wsae_lstm source/root folder
    • Functions to load and save a dictionary of dataframes to and from disk
    • clean_data.py updated with function imports from utils.py
    • frames_to_excel() can now accept optional key_order kwarg
• Data in data/processed has date column in datetime object format
• Minor syntax/variable name reference consistency changes
• readme.md update with repository structure section & other minor clarification changes