Achilles Rasquinha

Moving Averages have now been introduced. I still need to figure out how it could be embedded within the `Share` object. Classification-Regression seems to be a great idea! The reference...

I believe the normalisation should be independent of the split. Nonetheless, I can't wrap around how can we go ahead with something like it. For instance, `scikit-learn` has independent `Scaler`s...

Sounds Great! For now, I'll have the option left to both, user defined and normalisation provided by `bulbea`. Just send in some more normalisation techniques for Financial Data besides cumulative...

Hmmmm, sounds great! The current development is happening under the `dev` branch. I've added something as ```python share = bb.Share.load('filename.csv') ``` We could extend this for a `pandas.DataFrame` as well....

Faced the same issue. You can enforce this globally as mentioned within the README. Here's a one-liner fix: ``` $ npm install -g commitizen cz-conventional-changelog && echo '{ "path": "cz-conventional-changelog"...

Hello, any update?

I found a much neater way to do this, I wrote a custom `Augmenter` for this at [`deeply`](https://github.com/achillesrasquinha/deeply) ```python import deeply.img.augmenters as dia import imgaug.augmenters as iaa import imgaug as...

Hi @nickstenning, any update?


I guess the `Manager` requires a collection of printers to write to. I'll send in a PR soon for this!