MLPY

MLPY is a high-performance Python/NumPy based package for machine learning.

What is new in this release:

• New features:
• New function span_pd(). three_points_pd() deprecated.
• New Dtw class (dtw() has been removed):
• Naive and Derivative DTW
• Symmetric, Asymmetric, Quasi-Symmetric implementation with Slope Constraint Condition P=0
• Sakoe-Chiba window condition option
• Linear space-complexity implementation option
• (0, 0) boundary condition option
• canberra() - canberraq(): new option 'dist' returns partial distances
• canberra - canberraq: partial distances to file(s) added
• Documentation improved
• Bug fixes:
• Derivative DTW algorithm fixed
• knn_imputing() inf**2 bug fixed

What is new in version 2.0.1:

• Three points peaks detection added
• Miscellaneous documentation improved
• _wavelet.py removed
• icwt() sped up

Requirements:

• Python