wrangle
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autonomio
A data transformation package for deep learning with Autonomio, Keras and TensorFlow.
1) Confirm the below [Yes ] My Python version is 3.5 or higher (3.10.10) [Yes ] I have searched through the [Issues](https://github.com/autonomio/talos/issues) for a duplicate `pip install wrangle` is failing...
I think it is better to have everything related with data in one package.
From talos tutorial, Breath Cancer Example with Functional Model # then we load the dataset x, y = ta.datasets.breast_cancer() # and normalize every feature to mean 0, std 1 x...
There could be option to just use the coef as value as opposed to integer or some other weighted option as well :) and maybe std could be used as...
Why not use [this](https://github.com/autonomio/talos/blob/master/talos/utils/validation_split.py) instead?
``` import numpy as np def Ksaai(X, Y, ties=True): np.random.seed(42) n = len(X) order = np.argsort(X) ranks = np.argsort(Y[order]) diff_ranks = np.abs(np.diff(ranks)) if ties: counts = np.bincount(ranks) ranks += np.random.uniform(0,...