Changelog
v0.1.10
- Fix the bug that InlineCheckpoint cannot handle empty produce list
v0.1.9
- Fix the bug that the Exceptions in the InlineCheckpoint still results in the produce variables to be cached
v0.1.8
- Fix a bug when the line number cannot be correctly identified in jupyter notebook
v0.1.7
- Fix a corner case, where the numpy array created from pd.DataFrame.to_numpy() cannot be properly hashed.
v0.1.6
- Support pandas DataFrame with initially un-hashable elements as a parameter.
v0.1.5
- Bug fixes
- Now the file name of
Autosaver.save
is optional, will use datetime.datetime.now().strftime(r"%m%d-%H%M%S") + ".csv"
if left empty
- Add
__recompute__
functionality for checkpoint
v0.1.4
- Fix requirements.txt for Windows environment
v0.1.3
- Add support for two
AutoSaver
cases
- Fix: when a column header in the example file is empty, the output csv will no longer have an
Unnamed: 0
as header.
- Feature: now it can handle ruleless indexes, as long as the example csv and the to-submit object has the same number of rows
v0.1.2
- Fix dependencies in requirements.txt and setup.py
- Use better way to hash a pandas object
v0.1.1
- Fix changelog in the documentation (v0.0.1 -> v0.1.0)
- Fix fields in the setup.py
- More badges in the readme and documentation
- No code change
v0.1.0
- Initialize the
checkpoints
module
InlineCheckpoint
checkpoint
- Initialize the
dataIO
module
-