Mlfin.py 0.1.2

• Add the ensemble module containing Sequential Bootstrapped Classifier.
• Add the run_bars method and structural_breaks module.
• Add the sample_weights module.
• Add the cross_validation module.
• Add correspondence tests for each module.
• Fix docstring typos and errors.
• Update documents with detailed explanations and examples.
• Fix Ci-Cd workflow to only build and publish when receiving tag push.

Mlfin.py 0.1.0

First release with minimal functionality in the following modules:

• Data Structure module: Implement standard bars, imbalanced bars, time bars
• Labelling: Triple barrier method
• Sampling: Sequential Bootstrapping technique
• Utilities: Fractionally Differentiated method, Volatility estimator method
• Multiprocessing: Include njit to improve performance of the indicator matrix method