domino
Welcome to the Domino documentation!
The five main classes in Domino are:
For computing lagged composites with respect to categorical time series.
For applying filters to Boolean masks.
For reducing fields to scalar indices by projection onto masked field composites.
domino.prediction.PredictionTest
For assessing the predictive skill of scalar indices with respect to categorical events.
domino.plsr.PLSR_Reduction
For reducing the dimensionality of a multivariate dataset using Partial least squares regression.
If you're new to Domino, don't forget to check out the worked examples!
1r''' 2 3#Welcome to the Domino documentation! 4 5The five main classes in Domino are: 6 7*domino.core.LaggedAnalyser* 8 9For computing lagged composites with respect to categorical time series. 10 11*domino.core.PatternFilter* 12 13For applying filters to Boolean masks. 14 15*domino.core.IndexGenerator* 16 17For reducing fields to scalar indices by projection onto masked field composites. 18 19*domino.prediction.PredictionTest* 20 21For assessing the predictive skill of scalar indices with respect to categorical events. 22 23*domino.PLSR.PLSR_Reduction* 24 25For reducing the dimensionality of a multivariate dataset using Partial least squares regression. 26 27 28#If you're new to Domino, don't forget to check out the [worked examples](https://github.com/joshdorrington/domino/tree/master/examples)! 29''' 30 31 32 33import os 34import sys 35sys.path.insert(0, os.path.abspath('./'))