#Gaia project using transdims how to

Now, you could apply this transformation to any dataset, but here it just makes more sense to apply it on the dataset you just analyzed: cleanTranceDB = cleaner_transfo.applyToDataSet(tranceDB) This will return a Transformation instance: cleaner = AnalyzerFactory.create('cleaner')Д¬leaner_transfo = cleaner.analyze(tranceDB) To apply a transformation, you first need to instantiate the Analyzer that you require, and analyze the dataset. Failure to do so will result in undefined behaviour, and also lack of support from the author. The cleaner transformation has a bit of a special status, because it is required to be applied first on any dataset. To know more about the details of transformations, the how/why/etc., please have a look first at the main or the Gaia 2.0 API OverviewДЄ reference of all transformations can be found at the Algorithms page. Transformations and Dimensionality-reduction Algorithms Print 'How fast does a monkey dance:', tranceDB.point('Funky Monkey').value('tempotap_bpm') Loading and saving datasets is just as easy as saying it: ds.save('mytrancemusic.db') Print 'Key/mode is: ', p.label('key_key'), p.label('key_mode') Print 'Variance of third MFCC coeff is:', p.value('mfcc.var') To access attributes, you should use either the value() method or the label() method depending on the type of the descriptor you want to fetch or, more pythonically, just use points as if they were dictionaries: # print some useful stuff You can access a point directly by their ID: p = ds.point('Elektrik Psylocibe') NB: double-quotes are only necessary if you have spaces in your ids/filenamesДЄs rgeFiles expects a python map, you first have to load the filelist.yaml file yourself, then have yaml parse this as a dictionary, and only then can you give it to the rgeFiles function. The format of 'filelist.yaml' is a simple yaml mapping from the points names to their respective paths, for instance: 'Electrik Psylocibe': '01.Electrik ' Don't forget to set the name for the points! So that gives, for instance: ds = DataSet()ДЄs this is a pretty common operation, there is a function already defined that will do this for you given a file containing all the files to merge: ds = rgeFiles(yaml.load(open('filelist.yaml').read()) Merging points in a dataset is actually quite a simple operation, you just need to add the Points one by one in a newly created dataset. NB: in C++, it is the global variable gaia2::verbose

There is a verbose flag that you can set which makes transformations and other stuff display information while they do some computing. are actually gaia2.DataSet, gaia2.Point, etc.)

get values from there, output some stuffДЄll the examples will imply the following: from gaia2 import *ДЄll the classes you will see that are not from python will then be from the module gaia2 (ie: DataSet, Point, etc.

#Gaia project using transdims how to

This tutorial, to be useful for people, will be based on use-cases and how to solve them. The reader paying enough attention should be able to do the required changes without too many difficulties. It is written using the python bindings, but it would be very similar using the C++/Qt or the C++/STL interface, only with some pointers instead of references at some points.

This page presents a short tutorial to start using Gaia and do some useful stuff.